1. Applications are invited for PG Diploma in Bioinformatics<br />Scientific Bio-Minds<br />Scientific Bio-Minds is regarded as one of the leading bioinformatics institutions in India. Its Private organization mainly coordinates research and education in bioinformatics nationwide, and provides services to the life science communities that are highly appreciated worldwide.<br />The Scientific Bio-Minds plays a central role in life science research both in India and abroad by developing extensive and high-quality bioinformatics resources that are essential for all life scientists. The Scientific Bio-Minds contributes to the Indian economy and quality of life through the global distribution of its products, by providing state-of-the-art tools to our industry, and by its involvement in pre- and postgraduate teaching programs in many universities. Knowledge developed by Scientific Bio-Minds members in areas such as genomics, proteomics and systems biology, Software Development, Algorithm Development is directly transformed by academia and industry into innovative solutions to improve the population’s health.<br />Courses<br />Advanced Diploma in Bioinformatics<br />Syllabus:<br />Module-I<br />1. Understanding Life at Cellular & Molecular Level + Literature Search<br />2. Introduction to Molecular Biology & Bioinformatics Tools/ Databases<br />3. Introduction genome & Genomics<br />4. Biological Databases & Database Searching<br />5. SNPs: An overview and online resources for SNP analysis<br />6. Sequence analysis basics, interpretation of results, gene ontology, tools to align two Sequences and compare one sequence with others in databases<br />7. Multiple sequence alignment algorithms – an overview; resources for MSA and their uses<br />8. Resources for restriction site analysis, genome-wide repeats, and primer/probe designing and their uses<br />9. 1D & 3D Motif & Domain Assessment<br />10. Proteomics<br />11. Protein Threading & Interaction<br />12. Ab-initio structure prediction<br />Module-II<br />1. Algorithms in Computational Biology<br />2. Elementary Sequence Analysis<br />3. Dynamic Programming sequence alignment<br />4. Introduction to Microarray-clustering & classification<br />5. Basic 3D computation & Structural alignment<br />6. Hidden Markov Models<br />7. Gibbs Sampling<br />8. Molecular Energetic & Dynamics<br />9. Protein structure prediction: Homology modeling & abinitio<br />10. Fold recognition & introduction to RNA<br />11. RNA folding<br />12. Distance based phylogenies<br />13. Building Protein motifs & models<br />14. Clustering coordinately regulated genes<br />15. Discovering gene regulatory signals<br />16. Gene regulatory Models & Networks<br />17. MicroRNA Regulatory networks<br />18. Genome variations<br />19. Genome-wide Associations Studies<br />20. Metabolic pathways & Analysis I & II<br />Module-III<br />1. Introduction to Chemoinformatics & Drug Design /Development<br />2. Homology Modeling/Molecular Modeling<br />3. Chemical & Drug Database<br />4. Structural Bioinformatics in Drug Development<br />5. Small molecule hits & Designing chemical structures<br />6. Pathways studies and Drug Targeting<br />7. Lead design with Geometry optimization and Energy Minimization<br />8. Computer simulations<br />9. Chemical reaction indexing<br />10. Pharmacophore analysis<br />11. Docking / Other relevant Confirmatory Tools and Software’s<br />12. Introduction to system Biology<br />13. Biochemical pathway identification<br />14. Mathematical modeling of metabolic pathways identification & Reconstruction<br />15. Signaling pathway construction (basics/Advanced)<br />Module-IV<br />1. Introduction to Microarray Data analysis<br />2. Introduction to Bioperl<br />3. Environmental variables<br />4. Programming with sequences & Strings, Motifs& Loops5. Subroutines & Debugging6. Regular expression & restriction maps7. Mutations & Randomization8. Genetic Code9. Introduction to DBMS & RDBMS10. Stochastic models in Biology11. Optimization methods in biology12. Mathematical & Statistical Phylogenetics13. Statistical Analysis of DNA microarray data14. Statistical methods & Data Mining15. Pattern recognition & Machine learning16. Molecular Biology, Molecular Evolution and population Genetics<br />Eligibility:<br />Graduate from a recognized University in Life Science ( Biotech / Botany / Zoology / Microbiology / Chemistry) in Science with Physics, Mathematics, Statistics/ Nursing / Home Science / Food and Nutrition / Agriculture / Dairy technology / Horticulture / Forestry / Fisheries) OR <br />Graduate from a recognized University in Health Sciences (MBBS / BDS / BAMS /BHMS / BUMS / BVSc. / BSSM / BNYS) OR <br />Graduate from a recognized University in Allied Health Sciences (BMLT / BScMLT / BPT / BMIT / BScMIT / BHIA / BScHIA / BOT / BSc (Sp & Hg)/ BASLP / BSc Opt. / Pharmacy (BPharma) OR <br />BE in Biotech / BCA / BSc IT / BSc CS. <br />Post graduate and doctoral students, researchers & corporate working people related to life sciences. <br />Admissions & Batches Started<br />January- 3rd, 10th 17th 24th 31st,<br />February-7th, 14th 21st, 28th<br />March- 7th, 14th, 21st, 28th, <br />April-5th, 11th, 18th, 25th,<br />May-2nd, 9th, 16th, 23rd, 30th <br />June-6th, 13th, 20th, 27th,<br />July-4th, 11th, 18th, 25th,<br />August- 1st, 8th 16th, 22nd, 29th, <br />September- 5th, 12th, 19th, 26th,<br />October-3rd, 10th, 17th, 24th, 31st,<br />November- 8th, 14th, 21st, 28th, <br />December- 5th, 12th, 19th, 26th.<br /> <br />Fees Structure <br />Complete Course Fees is 30000/rs. <br />Module wised fees Structure<br />Module-IModule-IIModule-IIIModule-IVProject4000rs7000rs10000rs13000rs5000rs<br />Duration- 10 Months +Project 2 Months (Extra fees for Project)<br />Registration: 1000rs DD by the favor of Prashantha.C.N Scientific BioMinds, Bangalore, or direct contact to the following address<br />Contact Address<br />Scientific Bio-Minds<br />(L&T Employee Association, Shramajeevi Bhavan)<br />No.339, 1st Cross, 1st Floor, <br />Bellary High Road, <br />Byatarayanapura<br />Bangalore-560092<br />Email Id: - scientificbiominds@gmail.com<br />Phone: 91-080-23627541, Mobile: +91-9632006541<br />