SlideShare una empresa de Scribd logo
1 de 23
Introduction to DNA & Genomes

                    Dr Avril Coghlan
                   alc@sanger.ac.uk


Note: this talk contains animations which can only be seen by
downloading and using ‘View Slide show’ in Powerpoint
• DNA contains the genetic instructions specifying the
     development of all cellular forms of life and most
     viruses
      Watson & Crick proposed the double helix structure of DNA in 1953




                                                                   Image source:
                                                                   Marjorie McCarty,
                                                                   Wikimedia
                                                                   Commons




See The Double Helix by Watson (UCC library) for the story of discovering DNA’s structure
See Watson interview at http://www.ted.com/speakers/james_watson.html
• DNA molecules consist of two chains (strands) of
  smaller molecules called nucleotides




                                                  Image source:
                                                  Madeleine Price Ball,
                                                  Wikimedia
                                                  Commons



  Each nucleotide consists of three parts: the sugar       deoxyribose, a
       phosphate group, and one of four bases
  The bases are thymine T, adenine A, guanine G, cytosine C
  The sugars + phosphates form the backbone of the double helix
• The four bases are molecules that contain rings
  which include both nitrogen (N) and carbon (C)
  atoms:



                                           Image source:
                                           Mrbean427,
                                           Wikimedia
                                           Commons
• The bases in the two strands of a DNA double helix
  are complementary to each other
  T pairs with A, G pairs with C
  Thus, if one strand has the sequence of bases TACG, the other strand
       must have the sequence of bases ATGC :




                                                 Image source:
                                                 Madeleine Price Ball,
                                                 Wikimedia
                                                 Commons



  The 2 strands of DNA therefore contain redundant information
• Each strand of DNA has direction
  Each strand has 5’ & 3’ ends (said “5-prime” and “3-prime”)
  The 5’ end is the end with a terminal phosphate group
• In a DNA double helix, the 2 strands have opposite
  directions




                                                    Image source:
                                                    Madeleine Price Ball,
                                                    Wikimedia
                                                    Commons
• For convenience, one strand in a DNA double helix is
  called the forward or + (plus) strand
  Which strand to designate as ‘+’ is decided by researchers studying the
       organism that the DNA is from
  The choice is usually arbitrary, that is, there is no biological reason why
       one strand should be called the + strand
  The other strand is called the reverse or – (minus) strand



                                          + strand
     - strand                                        Image source:
                                                     Madeleine Price Ball,
                                                     Wikimedia
                                                     Commons
• By convention, we write a DNA sequence as the
  sequence of bases from 5’ to 3’
  The sequence is for the + strand, unless otherwise specified
  The – strand sequence can be inferred from the + strand sequence, as
  it’s complementary to the + strand
  If the + strand sequence is 5’-AGAT-3’, it’s just written AGAT
  The – strand sequence must be 3’-TCTA’-5 (the complement)
  The – strand sequence 5’-ATCT’-3’ is written ATCT (the reverse
  complement)
                                                         3’
                                  + strand
                                                 T
                                         A
                                    G                A        5’
                  5’      A
                                             T
                                     C
                              T              - strand
                 3’
• A genome is the set of all DNA in a cell
        A genome may consist of several chromosomes
        Each chromosome contains one long DNA molecule
        The DNA molecule in a          chromosome can 1000s or millions of
             base-pairs long
        There are also many proteins bound to DNA, which act to package the
        DNA in a chromosome
    • A chromosome is very tiny
        A chromosome that is 100 million base-pairs (bp) long is <0.01 mm
        The human eye can only see objects of about 0.1 mm or larger

One sesame seed: 2000-3000 μm (1 μm = 0.001 mm)
One grain of salt: 500 μm (0.5 mm)                             Visible with the human eye
Human egg cell: 130 μm (0.13 mm)
Human X chromosome: 7 μm (0.007 mm)
Size of one cell of the bacterium Escherichia coli: 3 x 0.6 μm Invisible to the human eye
One ‘A’ (adenine): 0.0013 x 0.0008 μm
See http://learn.genetics.utah.edu/content/begin/cells/scale/
• The human genome consists of 23 pairs of
  chromosomes: 1-22, & XX (women)/XY (men)
  The 23 chromosomes have ~3000 million base-pairs of DNA
  A cell has 46 chromosomes, so ~6000 million base-pairs
  The largest is chromosome 1: 247 million bp (247 Mb)
  The smallest is chromosome 22: 50 million bp (50 Mb)




                                                            Image source:
                                                            National
                                                            Cancer
                                                            Institute,
                                                            Wikimedia
                                                            Commons
• There is huge variation in chromosome number in
  the genomes of different species
  eg. the genome of the Australian ant Myrmecia pilosula consists of just
        two pairs of chromosomes (per cell)
• Some plants have a huge number of chromosomes
  eg. the genome of adder’s tongue fern (Ophioglossum reticulatum)
        consists of ~720 pairs of chromosomes
• Human chromosomes are linear, but many bacteria
  have 1 circular chromosome
  ie. the DNA molecule forms a large circle
  The bacterium Escherichia coli has a circular chromosome of ~5 million
        base-pairs (5 Mb)
  Some bacteria have linear chromosomes eg. the bacterium Borrelia
        burgdorferi (which causes Lyme disease) has one linear
  chromosome
  Also, some bacteria have >1 chromosome eg. Rhodobacter sphaeroides
        has 2 circular chromosomes
• As well as chromosomes, many bacteria have ≥1
  small circular DNA molecules: plasmids
  The bacterial chromosome is large (~0.5-13 Mb), & contains essential
       genes controlling cell development & structure
  Plasmids are smaller (~0.1-0.5 Mb), and are usually not essential for the
       bacterium to survive



     Bacterial chromosome               Plasmids
                                                      Image source:
                                                      User:Spaully,
                                                      Wikimedia
                                                      Commons
• Genome sizes are measured in base-pairs (bp)
  1 Mb (Megabase) = 1 million bp; 1 Gb (Gigabase) = 1000 Mb
• Bacteria usually have 1 circular chromosome of ~0.5-
  13 Mb
• Animals & plants & fungi have larger genomes, of ~8
  Mb to ~670 Gb                           Mammals
  e.g. the human genome is ~3 Gb
                                                                   Animals
                                                                  Plants
                                                   Fungi
                                              Bacteria
                                    Viruses
           Base-pairs 103 104 105 106 107 108 109 1010 1011

                                 0.1 Mb    10 Mb     1 Gb      100 Gb
                                      1 Mb     100 Mb     10 Gb
The virus
               phiX174
                         Genome sequencing
Image source: Fdardel,
Wikimedia Commons

     • DNA sequencing means finding out the sequence of
       base-pairs along the double helix
     • Fred Sanger received the Nobel Prize in 1980 for
       developing a method to sequence DNA
         Known as the dideoxy method or Sanger method
         Sanger also received a Nobel Prize (‘58) for sequencing proteins
     • The first genomes sequenced were viruses
     • Fred Sanger’s group in Cambridge sequenced the
       first virus in 1977:
         Phage phiX174, has a 5386 base genome

 See Sanger interview at www.alanmacfarlane.com/DO/filmshow/sanger_fast.htm
The phiX174 sequence
GAGTTTTATCGCTTCCATGACGCAGAAGTTAACACTTTCGGATATTTCTGATGAGTCGAAAAATTATCTTGATAAAGCAGGAATTACTACTGCTTGTTTACGAATTAAATCGAAGTGGACTGCTGGC
GGAAAATGAGAAAATTCGACCTATCCTTGCGCAGCTCGAGAAGCTCTTACTTTGCGACCTTTCGCCATCAACTAACGATTCTGTCAAAAACTGACGCGTTGGATGAGGAGAAGTGGCTTAATATGC
TTGGCACGTTCGTCAAGGACTGGTTTAGATATGAGTCACATTTTGTTCATGGTAGAGATTCTCTTGTTGACATTTTAAAAGAGCGTGGATTACTATCTGAGTCCGATGCTGTTCAACCACTAATAGG
TAAGAAATCATGAGTCAAGTTACTGAACAATCCGTACGTTTCCAGACCGCTTTGGCCTCTATTAAGCTCATTCAGGCTTCTGCCGTTTTGGATTTAACCGAAGATGATTTCGATTTTCTGACGAGTAA
CAAAGTTTGGATTGCTACTGACCGCTCTCGTGCTCGTCGCTGCGTTGAGGCTTGCGTTTATGGTACGCTGGACTTTGTGGGATACCCTCGCTTTCCTGCTCCTGTTGAGTTTATTGCTGCCGTCATTG
CTTATTATGTTCATCCCGTCAACATTCAAACGGCCTGTCTCATCATGGAAGGCGCTGAATTTACGGAAAACATTATTAATGGCGTCGAGCGTCCGGTTAAAGCCGCTGAATTGTTCGCGTTTACCTT
GCGTGTACGCGCAGGAAACACTGACGTTCTTACTGACGCAGAAGAAAACGTGCGTCAAAAATTACGTGCGGAAGGAGTGATGTAATGTCTAAAGGTAAAAAACGTTCTGGCGCTCGCCCTGGTC
GTCCGCAGCCGTTGCGAGGTACTAAAGGCAAGCGTAAAGGCGCTCGTCTTTGGTATGTAGGTGGTCAACAATTTTAATTGCAGGGGCTTCGGCCCCTTACTTGAGGATAAATTATGTCTAATATTC
AAACTGGCGCCGAGCGTATGCCGCATGACCTTTCCCATCTTGGCTTCCTTGCTGGTCAGATTGGTCGTCTTATTACCATTTCAACTACTCCGGTTATCGCTGGCGACTCCTTCGAGATGGACGCCGTT
GGCGCTCTCCGTCTTTCTCCATTGCGTCGTGGCCTTGCTATTGACTCTACTGTAGACATTTTTACTTTTTATGTCCCTCATCGTCACGTTTATGGTGAACAGTGGATTAAGTTCATGAAGGATGGTGTT
AATGCCACTCCTCTCCCGACTGTTAACACTACTGGTTATATTGACCATGCCGCTTTTCTTGGCACGATTAACCCTGATACCAATAAAATCCCTAAGCATTTGTTTCAGGGTTATTTGAATATCTATAAC
AACTATTTTAAAGCGCCGTGGATGCCTGACCGTACCGAGGCTAACCCTAATGAGCTTAATCAAGATGATGCTCGTTATGGTTTCCGTTGCTGCCATCTCAAAAACATTTGGACTGCTCCGCTTCCTC
CTGAGACTGAGCTTTCTCGCCAAATGACGACTTCTACCACATCTATTGACATTATGGGTCTGCAAGCTGCTTATGCTAATTTGCATACTGACCAAGAACGTGATTACTTCATGCAGCGTTACCATGAT
GTTATTTCTTCATTTGGAGGTAAAACCTCTTATGACGCTGACAACCGTCCTTTACTTGTCATGCGCTCTAATCTCTGGGCATCTGGCTATGATGTTGATGGAACTGACCAAACGTCGTTAGGCCAGTT
TTCTGGTCGTGTTCAACAGACCTATAAACATTCTGTGCCGCGTTTCTTTGTTCCTGAGCATGGCACTATGTTTACTCTTGCGCTTGTTCGTTTTCCGCCTACTGCGACTAAAGAGATTCAGTACCTTAA
CGCTAAAGGTGCTTTGACTTATACCGATATTGCTGGCGACCCTGTTTTGTATGGCAACTTGCCGCCGCGTGAAATTTCTATGAAGGATGTTTTCCGTTCTGGTGATTCGTCTAAGAAGTTTAAGATT
GCTGAGGGTCAGTGGTATCGTTATGCGCCTTCGTATGTTTCTCCTGCTTATCACCTTCTTGAAGGCTTCCCATTCATTCAGGAACCGCCTTCTGGTGATTTGCAAGAACGCGTACTTATTCGCCACCA
TGATTATGACCAGTGTTTCCAGTCCGTTCAGTTGTTGCAGTGGAATAGTCAGGTTAAATTTAATGTGACCGTTTATCGCAATCTGCCGACCACTCGCGATTCAATCATGACTTCGTGATAAAAGATT
GAGTGTGAGGTTATAACGCCGAAGCGGTAAAAATTTTAATTTTTGCCGCTGAGGGGTTGACCAAGCGAAGCGCGGTAGGTTTTCTGCTTAGGAGTTTAATCATGTTTCAGACTTTTATTTCTCGCC
ATAATTCAAACTTTTTTTCTGATAAGCTGGTTCTCACTTCTGTTACTCCAGCTTCTTCGGCACCTGTTTTACAGACACCTAAAGCTACATCGTCAACGTTATATTTTGATAGTTTGACGGTTAATGCTG
GTAATGGTGGTTTTCTTCATTGCATTCAGATGGATACATCTGTCAACGCCGCTAATCAGGTTGTTTCTGTTGGTGCTGATATTGCTTTTGATGCCGACCCTAAATTTTTTGCCTGTTTGGTTCGCTTTG
                    This is the + strand sequence from 5’ to 3’, 5386 bases
AGTCTTCTTCGGTTCCGACTACCCTCCCGACTGCCTATGATGTTTATCCTTTGAATGGTCGCCATGATGGTGGTTATTATACCGTCAAGGACTGTGTGACTATTGACGTCCTTCCCCGTACGCCGGGC
AATAACGTTTATGTTGGTTTCATGGTTTGGTCTAACTTTACCGCTACTAAATGCCGCGGATTGGTTTCGCTGAATCAGGTTATTAAAGAGATTATTTGTCTCCAGCCACTTAAGTGAGGTGATTTATG
TTTGGTGCTATTGCTGGCGGTATTGCTTCTGCTCTTGCTGGTGGCGCCATGTCTAAATTGTTTGGAGGCGGTCAAAAAGCCGCCTCCGGTGGCATTCAAGGTGATGTGCTTGCTACCGATAACAAT
ACTGTAGGCATGGGTGATGCTGGTATTAAATCTGCCATTCAAGGCTCTAATGTTCCTAACCCTGATGAGGCCGCCCCTAGTTTTGTTTCTGGTGCTATGGCTAAAGCTGGTAAAGGACTTCTTGAAG
GTACGTTGCAGGCTGGCACTTCTGCCGTTTCTGATAAGTTGCTTGATTTGGTTGGACTTGGTGGCAAGTCTGCCGCTGATAAAGGAAAGGATACTCGTGATTATCTTGCTGCTGCATTTCCTGAGCT
TAATGCTTGGGAGCGTGCTGGTGCTGATGCTTCCTCTGCTGGTATGGTTGACGCCGGATTTGAGAATCAAAAAGAGCTTACTAAAATGCAACTGGACAATCAGAAAGAGATTGCCGAGATGCAAA
ATGAGACTCAAAAAGAGATTGCTGGCATTCAGTCGGCGACTTCACGCCAGAATACGAAAGACCAGGTATATGCACAAAATGAGATGCTTGCTTATCAACAGAAGGAGTCTACTGCTCGCGTTGCG
TCTATTATGGAAAACACCAATCTTTCCAAGCAACAGCAGGTTTCCGAGATTATGCGCCAAATGCTTACTCAAGCTCAAACGGCTGGTCAGTATTTTACCAATGACCAAATCAAAGAAATGACTCGCA
AGGTTAGTGCTGAGGTTGACTTAGTTCATCAGCAAACGCAGAATCAGCGGTATGGCTCTTCTCATATTGGCGCTACTGCAAAGGATATTTCTAATGTCGTCACTGATGCTGCTTCTGGTGTGGTTGA
TATTTTTCATGGTATTGATAAAGCTGTTGCCGATACTTGGAACAATTTCTGGAAAGACGGTAAAGCTGATGGTATTGGCTCTAATTTGTCTAGGAAATAACCGTCAGGATTGACACCCTCCCAATTG
TATGTTTTCATGCCTCCAAATCTTGGAGGCTTTTTTATGGTTCGTTCTTATTACCCTTCTGAATGTCACGCTGATTATTTTGACTTTGAGCGTATCGAGGCTCTTAAACCTGCTATTGAGGCTTGTGGC
ATTTCTACTCTTTCTCAATCCCCAATGCTTGGCTTCCATAAGCAGATGGATAACCGCATCAAGCTCTTGGAAGAGATTCTGTCTTTTCGTATGCAGGGCGTTGAGTTCGATAATGGTGATATGTATGT
TGACGGCCATAAGGCTGCTTCTGACGTTCGTGATGAGTTTGTATCTGTTACTGAGAAGTTAATGGATGAATTGGCACAATGCTACAATGTGCTCCCCCAACTTGATATTAATAACACTATAGACCAC
CGCCCCGAAGGGGACGAAAAATGGTTTTTAGAGAACGAGAAGACGGTTACGCAGTTTTGCCGCAAGCTGGCTGCTGAACGCCCTCTTAAGGATATTCGCGATGAGTATAATTACCCCAAAAAGAA
AGGTATTAAGGATGAGTGTTCAAGATTGCTGGAGGCCTCCACTATGAAATCGCGTAGAGGCTTTGCTATTCAGCGTTTGATGAATGCAATGCGACAGGCTCATGCTGATGGTTGGTTTATCGTTTT
TGACACTCTCACGTTGGCTGACGACCGATTAGAGGCGTTTTATGATAATCCCAATGCTTTGCGTGACTATTTTCGTGATATTGGTCGTATGGTTCTTGCTGCCGAGGGTCGCAAGGCTAATGATTCA
CACGCCGACTGCTATCAGTATTTTTGTGTGCCTGAGTATGGTACAGCTAATGGCCGTCTTCATTTCCATGCGGTGCACTTTATGCGGACACTTCCTACAGGTAGCGTTGACCCTAATTTTGGTCGTCG
GGTACGCAATCGCCGCCAGTTAAATAGCTTGCAAAATACGTGGCCTTATGGTTACAGTATGCCCATCGCAGTTCGCTACACGCAGGACGCTTTTTCACGTTCTGGTTGGTTGTGGCCTGTTGATGCT
AAAGGTGAGCCGCTTAAAGCTACCAGTTATATGGCTGTTGGTTTCTATGTGGCTAAATACGTTAACAAAAAGTCAGATATGGACCTTGCTGCTAAAGGTCTAGGAGCTAAAGAATGGAACAACTCA
CTAAAAACCAAGCTGTCGCTACTTCCCAAGAAGCTGTTCAGAATCAGAATGAGCCGCAACTTCGGGATGAAAATGCTCACAATGACAAATCTGTCCACGGAGTGCTTAATCCAACTTACCAAGCTG
GGTTACGACGCGACGCCGTTCAACCAGATATTGAAGCAGAACGCAAAAAGAGAGATGAGATTGAGGCTGGGAAAAGTTACTGTAGCCGACGTTTTGGCGGCGCAACCTGTGACGACAAATCTGC
TCAAATTTATGCGCGCTTCGATAAAAATGATTGGCGTATCCAACCTGCA
• In 1987 Applied Biosystems marketed the 1st
   commercial sequencing machine
    ABI 370 model, which used the Sanger method
 • The 1st free-living organism sequenced was the
   bacterium Haemophilus influenzae
    Has a 1.83 million base-pair circular genome
 • By Craig Venter & colleagues at the Institute for
   Genomic Research (TIGR), Science, 1995


  Haemophilus                                         Craig Venter
  influenzae, causes
  respiratory tract                                  Image source:
                       Image source:                 Michael Janich,
  infections           Dr WA Clark, CDC,             Wikimedia Commons
                       Wikimedia Commons

See Venter interviews at http://www.ted.com/speakers/craig_venter.html
• The first eukaryote sequenced was baker’s yeast,
  Saccharomyces cerevisiae, in 1996
  Sequenced by an international consortium of scientists
  A 12.5 million base-pair genome in 16 linear chromosomes
  ~2300 times larger than the genome of phiX174




                                                 Image source:
                                                 Masur,
                                                 Wikimedia Commons




              Size of one cell of Saccaromyces
              cerevisiae: 3 μm x 4 μm
Image source:
C. elegans, a 1 mm long
nematode worm             Tormikotkas,
                          Wikimedia Commons
• The human genome was sequenced by a publicly
    funded international consortium, & by a company
    (Celera, led by Craig Venter)
      Both sequences were first published in February 2001:




  John Sulston                                          Image source:
  Nobel Prize, 2002                                     Jane Gitschier,
  One of the leaders of
  the public project
                                                        Wikimedia Commons



See The Common Thread by John Sulston for the story of the public project
See Sulston interview at http://www.alanmacfarlane.com/DO/filmshow/sulston1_fast.htm
• Many more genomes have been published since, for
  example:
  Mouse in 2002
  Rice in 2002
  Malaria in 2002
  Chimp in 2002
  Dog 2003
  Chicken 2004
  Platypus 2009
  Cow 2009
  etc. etc.
Organism              Date    Size       Description
Phage phiX174         1977    5,368 bp   1st viral genome
Haemophilus           1995    1,830 kb   1st bacterial genome
influenzae
Saccharomyces         1996    12.5 Mb    1st eukaryotic genome,
cerevisiae                               baker’s yeast
Escherichia coli      1997    4.6 Mb     Bacterial model organism,
                                         causes food poisoning
Drosophila            2000    180 Mb     Fruit fly, model insect
melanogaster
Arabidopsis           2000    125 Mb     Thale cress, model plant
thaliana
Homo sapiens          2001    3000 Mb    Human
1 Mb = 1 million base-pairs
• The Genomes OnLine Database (GOLD) lists
  sequencing projects: www.genomesonline.org
• GOLD lists 3037 complete genomes
  2719 bacterial, 150 archaeal, 168 eukaryotic (as of Jan. 2012)
  (N.B. bacteria and archaea are prokaryotes, i.e. lack nuclei;
  eukaryotes such as plants and animals have nuclei)
• GOLD also lists 7746 ongoing projects
  5515 bacterial, 181 archaeal, 2050 eukaryotic (as of Jan. ‘12)




                                                       Image source:
                                                       GOLD database
Further Reading
•   Introduction to Computational Genomics by Cristianini & Hahn, chapter 1
•   Computational Genome Analysis by Deonier et al, chapter 1

Más contenido relacionado

La actualidad más candente (20)

Recombinant DNA Technology
Recombinant DNA TechnologyRecombinant DNA Technology
Recombinant DNA Technology
 
Proteome databases
Proteome databasesProteome databases
Proteome databases
 
DNA microarray
DNA microarrayDNA microarray
DNA microarray
 
Genome evolution
Genome evolutionGenome evolution
Genome evolution
 
shotgun sequncing
 shotgun sequncing shotgun sequncing
shotgun sequncing
 
Physical mapping
Physical mappingPhysical mapping
Physical mapping
 
Human genome project
Human genome projectHuman genome project
Human genome project
 
Human genome
Human genomeHuman genome
Human genome
 
RNA-Seq
RNA-SeqRNA-Seq
RNA-Seq
 
Microarray
MicroarrayMicroarray
Microarray
 
Phylogenetics an overview
Phylogenetics an overviewPhylogenetics an overview
Phylogenetics an overview
 
SNP
SNPSNP
SNP
 
DNA MICROARRAY
DNA MICROARRAYDNA MICROARRAY
DNA MICROARRAY
 
An Introduction to Genomics
An Introduction to GenomicsAn Introduction to Genomics
An Introduction to Genomics
 
Genomics and bioinformatics
Genomics and bioinformatics Genomics and bioinformatics
Genomics and bioinformatics
 
Genome annotation
Genome annotationGenome annotation
Genome annotation
 
C value paradox
C value paradoxC value paradox
C value paradox
 
Gene prediction methods vijay
Gene prediction methods  vijayGene prediction methods  vijay
Gene prediction methods vijay
 
blast bioinformatics
blast bioinformaticsblast bioinformatics
blast bioinformatics
 
Cath
CathCath
Cath
 

Destacado

GMOD 2014 MAKER Lecture
GMOD 2014 MAKER LectureGMOD 2014 MAKER Lecture
GMOD 2014 MAKER Lecturebarrymoore
 
Genetic Evidence For Theories Of Human Dispersal
Genetic Evidence For Theories Of Human DispersalGenetic Evidence For Theories Of Human Dispersal
Genetic Evidence For Theories Of Human Dispersalallyjer
 
The complete genome sequence of a neanderthal article presentation
The complete genome sequence of a neanderthal article presentationThe complete genome sequence of a neanderthal article presentation
The complete genome sequence of a neanderthal article presentationSveta Jagannathan
 
Statistical significance of alignments
Statistical significance of alignmentsStatistical significance of alignments
Statistical significance of alignmentsavrilcoghlan
 
Pathways and genomes databases in bioinformatics
Pathways and genomes databases in bioinformaticsPathways and genomes databases in bioinformatics
Pathways and genomes databases in bioinformaticssarwat bashir
 
Feline Array PAG 2016
Feline Array PAG 2016Feline Array PAG 2016
Feline Array PAG 2016hhalhaddad
 
Bengalness UM 2016
Bengalness UM 2016Bengalness UM 2016
Bengalness UM 2016hhalhaddad
 
DESeq Paper Journal club
DESeq Paper Journal club DESeq Paper Journal club
DESeq Paper Journal club avrilcoghlan
 
Mouse Genomes Project + RNA-Editing
Mouse Genomes Project + RNA-EditingMouse Genomes Project + RNA-Editing
Mouse Genomes Project + RNA-EditingThomas Keane
 
Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)
Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)
Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)Dr Vijayata choudhary
 
281 lec4 identity_location
281 lec4 identity_location281 lec4 identity_location
281 lec4 identity_locationhhalhaddad
 
485 lec4 the_genome
485 lec4 the_genome485 lec4 the_genome
485 lec4 the_genomehhalhaddad
 
485 lec6 sequencing
485 lec6 sequencing485 lec6 sequencing
485 lec6 sequencinghhalhaddad
 
485 lec5 exploring_the_genome
485 lec5 exploring_the_genome485 lec5 exploring_the_genome
485 lec5 exploring_the_genomehhalhaddad
 
Kuwait University R workshop 2016
Kuwait University R workshop 2016Kuwait University R workshop 2016
Kuwait University R workshop 2016hhalhaddad
 
Whole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisWhole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisdrelamuruganvet
 

Destacado (20)

Genomics
GenomicsGenomics
Genomics
 
Genomics
GenomicsGenomics
Genomics
 
Homology
HomologyHomology
Homology
 
GMOD 2014 MAKER Lecture
GMOD 2014 MAKER LectureGMOD 2014 MAKER Lecture
GMOD 2014 MAKER Lecture
 
Genetic Evidence For Theories Of Human Dispersal
Genetic Evidence For Theories Of Human DispersalGenetic Evidence For Theories Of Human Dispersal
Genetic Evidence For Theories Of Human Dispersal
 
The complete genome sequence of a neanderthal article presentation
The complete genome sequence of a neanderthal article presentationThe complete genome sequence of a neanderthal article presentation
The complete genome sequence of a neanderthal article presentation
 
Statistical significance of alignments
Statistical significance of alignmentsStatistical significance of alignments
Statistical significance of alignments
 
Proteins
ProteinsProteins
Proteins
 
Pathways and genomes databases in bioinformatics
Pathways and genomes databases in bioinformaticsPathways and genomes databases in bioinformatics
Pathways and genomes databases in bioinformatics
 
Feline Array PAG 2016
Feline Array PAG 2016Feline Array PAG 2016
Feline Array PAG 2016
 
Bengalness UM 2016
Bengalness UM 2016Bengalness UM 2016
Bengalness UM 2016
 
DESeq Paper Journal club
DESeq Paper Journal club DESeq Paper Journal club
DESeq Paper Journal club
 
Mouse Genomes Project + RNA-Editing
Mouse Genomes Project + RNA-EditingMouse Genomes Project + RNA-Editing
Mouse Genomes Project + RNA-Editing
 
Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)
Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)
Methods for characterization of animal genomes(snp,str,qtl,rflp,rapd)
 
281 lec4 identity_location
281 lec4 identity_location281 lec4 identity_location
281 lec4 identity_location
 
485 lec4 the_genome
485 lec4 the_genome485 lec4 the_genome
485 lec4 the_genome
 
485 lec6 sequencing
485 lec6 sequencing485 lec6 sequencing
485 lec6 sequencing
 
485 lec5 exploring_the_genome
485 lec5 exploring_the_genome485 lec5 exploring_the_genome
485 lec5 exploring_the_genome
 
Kuwait University R workshop 2016
Kuwait University R workshop 2016Kuwait University R workshop 2016
Kuwait University R workshop 2016
 
Whole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysisWhole genome sequencing of bacteria & analysis
Whole genome sequencing of bacteria & analysis
 

Similar a Introduction to genomes

III Pharm.D - Chromosomes Structure.pptx
III Pharm.D - Chromosomes Structure.pptxIII Pharm.D - Chromosomes Structure.pptx
III Pharm.D - Chromosomes Structure.pptxKameshwaran Sugavanam
 
Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01Cleophas Rwemera
 
Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01Cleophas Rwemera
 
Genetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptx
Genetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptxGenetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptx
Genetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptxCherZ2
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnajane namane
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaDudrah Moyo
 
DNA structure and chromosome organization
DNA structure and chromosome organization DNA structure and chromosome organization
DNA structure and chromosome organization nadeem akhter
 
DNA organization or Genetic makeup in Prokaryotic and Eukaryotic Systems
DNA organization or Genetic makeup in Prokaryotic and Eukaryotic SystemsDNA organization or Genetic makeup in Prokaryotic and Eukaryotic Systems
DNA organization or Genetic makeup in Prokaryotic and Eukaryotic SystemsBir Bahadur Thapa
 
NUCLEIC ACIDS chasama.pptx
NUCLEIC ACIDS chasama.pptxNUCLEIC ACIDS chasama.pptx
NUCLEIC ACIDS chasama.pptxPerfect40
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaThabo Bafana
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaseleka moema
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaZANELE FORTUNATE
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaGoodness
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaLondeka Mkhize
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnanobantu pulati
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaTumo Moloto
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnascience91
 

Similar a Introduction to genomes (20)

III Pharm.D - Chromosomes Structure.pptx
III Pharm.D - Chromosomes Structure.pptxIII Pharm.D - Chromosomes Structure.pptx
III Pharm.D - Chromosomes Structure.pptx
 
DNA
DNADNA
DNA
 
Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01
 
Ch16 genetics
Ch16  geneticsCh16  genetics
Ch16 genetics
 
Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01Ch16genetics 150405165056-conversion-gate01
Ch16genetics 150405165056-conversion-gate01
 
Genetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptx
Genetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptxGenetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptx
Genetics-DNA-Replication-Biology-Lecture-PowerPoint-VCBCct.pptx
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
DNA structure and chromosome organization
DNA structure and chromosome organization DNA structure and chromosome organization
DNA structure and chromosome organization
 
DNA organization or Genetic makeup in Prokaryotic and Eukaryotic Systems
DNA organization or Genetic makeup in Prokaryotic and Eukaryotic SystemsDNA organization or Genetic makeup in Prokaryotic and Eukaryotic Systems
DNA organization or Genetic makeup in Prokaryotic and Eukaryotic Systems
 
NUCLEIC ACIDS chasama.pptx
NUCLEIC ACIDS chasama.pptxNUCLEIC ACIDS chasama.pptx
NUCLEIC ACIDS chasama.pptx
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 
Unit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dnaUnit 1 genetics nucleic acids dna
Unit 1 genetics nucleic acids dna
 

Más de avrilcoghlan

Multiple alignment
Multiple alignmentMultiple alignment
Multiple alignmentavrilcoghlan
 
The Smith Waterman algorithm
The Smith Waterman algorithmThe Smith Waterman algorithm
The Smith Waterman algorithmavrilcoghlan
 
Alignment scoring functions
Alignment scoring functionsAlignment scoring functions
Alignment scoring functionsavrilcoghlan
 
The Needleman Wunsch algorithm
The Needleman Wunsch algorithmThe Needleman Wunsch algorithm
The Needleman Wunsch algorithmavrilcoghlan
 
Pairwise sequence alignment
Pairwise sequence alignmentPairwise sequence alignment
Pairwise sequence alignmentavrilcoghlan
 
Dotplots for Bioinformatics
Dotplots for BioinformaticsDotplots for Bioinformatics
Dotplots for Bioinformaticsavrilcoghlan
 
Introduction to HMMs in Bioinformatics
Introduction to HMMs in BioinformaticsIntroduction to HMMs in Bioinformatics
Introduction to HMMs in Bioinformaticsavrilcoghlan
 

Más de avrilcoghlan (8)

BLAST
BLASTBLAST
BLAST
 
Multiple alignment
Multiple alignmentMultiple alignment
Multiple alignment
 
The Smith Waterman algorithm
The Smith Waterman algorithmThe Smith Waterman algorithm
The Smith Waterman algorithm
 
Alignment scoring functions
Alignment scoring functionsAlignment scoring functions
Alignment scoring functions
 
The Needleman Wunsch algorithm
The Needleman Wunsch algorithmThe Needleman Wunsch algorithm
The Needleman Wunsch algorithm
 
Pairwise sequence alignment
Pairwise sequence alignmentPairwise sequence alignment
Pairwise sequence alignment
 
Dotplots for Bioinformatics
Dotplots for BioinformaticsDotplots for Bioinformatics
Dotplots for Bioinformatics
 
Introduction to HMMs in Bioinformatics
Introduction to HMMs in BioinformaticsIntroduction to HMMs in Bioinformatics
Introduction to HMMs in Bioinformatics
 

Último

How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17Celine George
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...Amil baba
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxJisc
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentationcamerronhm
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and ModificationsMJDuyan
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.pptRamjanShidvankar
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxannathomasp01
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfAdmir Softic
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Pooja Bhuva
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jisc
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfDr Vijay Vishwakarma
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxEsquimalt MFRC
 

Último (20)

How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 

Introduction to genomes

Notas del editor

  1. Image credit (DNA): http://1in100.files.wordpress.com/2009/06/dna_500.jpg?w=150&amp;h=97 Image credit (Watson &amp; Crick): http://history.nih.gov/exhibits/nirenberg/images/photos/03_watCrk_pu.jpg
  2. Image credit (double helix, right): http://1in100.files.wordpress.com/2009/06/dna_500.jpg?w=150&amp;h=97 Image credit (nucleotides, left): http://creationwiki.org/images/a/a4/Nucleotide.gif
  3. Image credit (bases): http://www.uic.edu/classes/bios/bios100/lecturesf04am/nucleotides.jpg
  4. Image credit (double helix, right): http://1in100.files.wordpress.com/2009/06/dna_500.jpg?w=150&amp;h=97 Image credit (nucleotides, left): http://creationwiki.org/images/a/a4/Nucleotide.gif
  5. Image credit (double helix, right): http://1in100.files.wordpress.com/2009/06/dna_500.jpg?w=150&amp;h=97 Image credit (nucleotides, left): http://creationwiki.org/images/a/a4/Nucleotide.gif
  6. Image credit (double helix, right): http://1in100.files.wordpress.com/2009/06/dna_500.jpg?w=150&amp;h=97
  7. Image credit: http://1in100.files.wordpress.com/2009/06/dna_500.jpg?w=150&amp;h=97
  8. Image credit: https://eapbiofield.wikispaces.com/file/view/chromosome.jpg (adapted)
  9. Image credit: http://www.mun.ca/biology/scarr/F14-10_FISH_chromosome.jpg Sizes of the human chromosomes taken from http://en.wikipedia.org/wiki/Human_genome
  10. See http://www.iubs.org/test/bioint/45/4.htm for an in-depth discussion of chromosome number variation Image source (chromosomes): http://www.iubs.org/test/bioint/45/4illustr1_fichiers/image002.jpg Image source (M. pilosura):http://www.myrmecos.net/ants/MyrmeciaPilo6.JPG Image source (O. reticulatum): http://cookislands.bishopmuseum.org/MM/TX-150Wq3/4H006_Ophi-reti_AT_GM_TX.jpg See http://rms1.agsearch.agropedia.affrc.go.jp/contents/JASI/pdf/society/50-1468.pdf for information about Myrmecia pilosula chromosomes. The name Myrmecia pilosula has been used to refer to what is now known to be a group of closely related species, and some have 1 pair of chromosomes and some have two pairs of chromosomes.
  11. Image credit (plasmids): http://upload.wikimedia.org/wikipedia/commons/thumb/c/cf/Plasmid_%28english%29.svg/300px-Plasmid_%28english%29.svg.png Note: Rhodobacter sphaeroides is a bacterium found in lakes
  12. Image credit: Figure 2.5, Lesk, ‘Introduction to Genomics’ book, page 80.
  13. Image credit: (Sanger) http://www.rsc.org/images/FEATURE-sanger1-250_tcm18-42175.jpg Image credit: (phiX174) http://upload.wikimedia.org/wikipedia/commons/5/52/PhiX174.jpg
  14. Sequence from http://www.ncbi.nlm.nih.gov/nuccore/9626372?report=fasta&amp;log$=seqview
  15. Image credit (Haemophilus): http://bacterioweb.univ-fcomte.fr/phototheque/Haemophilus_influenzae_Hemoc.jpg Image credit (Venter): http://loranablog.files.wordpress.com/2007/10/venter.jpg Image creduit (ABI 370): http://thmb.inkfrog.com/thumbn/solanotraders/ABI370.jpg
  16. Image credit (S. cerevisiae): http://www.chateauneuf.dk/artikler/vini15.jpg Image credit (S. cerevisiae chromosomes): http://www.wdv.com/CellWorld/Yeast/index_files/image016.jpg
  17. Image credit (Watson): http://www.theage.com.au/ffximage/2007/10/20/WATSON_narrowweb__300x361,0.jpg Image credit (C. elegans): http://upload.wikimedia.org/wikipedia/commons/e/e0/Caenorhabditis_elegans_2.jpg Image credit (C. elegans genome paper): http://www.sciencemag.org/content/vol282/issue5396/images/medium/covermed.gif
  18. Image credit (Nature cover): http://www.stanford.edu/~aobrien/wintervisrhet/nature_genome200.jpe Image credit (Science cover): http://genome.imim.es/software/gfftools/icons/papers/Science_291_5507.jpg Image credit (Sulston): http://www.topnews.in/files/John-Sulston1.jpg
  19. Image credit (mouse genome): http://www.biology.iupui.edu/biocourses/N100/images/1mousegenome.jpg Image credit (chimp genome): http://www.news.harvard.edu/gazette/2005/09.15/photos/11-chimp1-225.jpg Image credit (cow genome): http://www.ncbi.nlm.nih.gov/projects/genome/guide/cow/cow_science_cover.gif Image credit (dog genome): http://www.broadinstitute.org/files/news/stories/full/dog-11072005.jpg Image credit (platypus genome): http://www.nature.com/nature/journal/v453/n7192/images/cover_nature.jpg Image credit (chicken genome): http://www.sciencemusings.com/blog/images/Chicken.jpg Image credit (malaria genome):http://www.nature.com/nature/malaria/cover.jpg Image credit (rice genome): http://media.eurekalert.org/release_graphics/Rice-genome.gif
  20. Size of E. coli K12: from the CMR website. Image credit: (phiX174) http://upload.wikimedia.org/wikipedia/commons/5/52/PhiX174.jpg Image credit (Haemophilus): http://bacterioweb.univ-fcomte.fr/phototheque/Haemophilus_influenzae_Hemoc.jpg Image credit (S. cerevisiae): http://www.chateauneuf.dk/artikler/vini15.jpg Image source (E. coli cell): http://www3.niaid.nih.gov/NR/rdonlyres/49477C30-0513-47BE-88FC-17974CB1F952/0/e_coli.jpg Image credit (fruitfly): http://farm1.static.flickr.com/31/54275159_1a756047cf.jpg Image credit (Arabidopsis): http://www.delawarewildflowers.org/images/arabidopsis_thaliana.jpg
  21. Image credit (completely sequenced genomes): http://www.genomesonline.org/cgi-bin/GOLD/index.cgi?page_requested=Statistics [image for Oct 2011]