1 / 9

Topics: Why bioinformatics ? Classical bioinformatics- similarity, conserved

New Insights in Bioinformatics Metsada Pasmanik-Chor Bioinformatics Unit, Life Science, TAU. Topics: Why bioinformatics ? Classical bioinformatics- similarity, conserved regions and alignments The “post-genome” era- high throughput tools and complex system analysis.

seoras
Télécharger la présentation

Topics: Why bioinformatics ? Classical bioinformatics- similarity, conserved

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. New Insights in Bioinformatics Metsada Pasmanik-Chor Bioinformatics Unit, Life Science, TAU • Topics: • Why bioinformatics ? • Classical bioinformatics- • similarity, conserved • regions and alignments • The “post-genome” era- • high throughput tools and • complex system analysis Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  2. From Sequences to Functional Proteins - the Central Dogma of Molecular Biology CGCCAGCTGGACGGGCACACCATGAGGCTGCTGACCCTCCTGGGCCTTCTGTGTGGCTCGGTGGCCACCCCCTTAGGCCCGAAGTGGCCTGAACCTGTGTTCGGGCGCCTGGCATCCCCCGGCTTTCCAGGGGAGTATGCCAATGACCAGGAGCGGCGCTGGACCCTGACTGCACCCCCCGGCTACCGCCTGCGCCTCTACTTCACCCACTTCGACCTGGAGCTCTCCCACCTCTGCGAGTACGACTTCGTCAAG Sequence data = Strings of letters Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  3. The Biotechnology Revolution Requires Bioinformatics Advancement Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  4. The Human Genome Project (HGP) • Goals: • Sequence the human genome • Identify all genes • Predict gene function • Determine involvement • in human diseases. • Note: • Only 1 fully achieved so far Francis Collins(head of public project, NIH): “I think this is probably the most important scientific effort that mankind has ever mounted. That includes splitting the atom and going to the moon”. Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  5. The Human Genome Project: ELSI Address the Ethical, Legal, and Social Implications (ELSI) that may arise from the HGP. Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  6. Human Variability DNA Variability: SNPs and the HapMap Project • DNA is identical in all cells of an • individual, and almost identical among • different individuals of same species • (99.9% in humans). • For a variation to be considered • SNP, it must occur in at least 1% • of the population. The HapMap is a catalog of common genetic variants (haplotypes)in human,and their associations. Goal: Understand polymorphisms in terms of potential functionality, and relevance to human health. Metsada Pasmanik-Chor, TAU Bioinforamtics Unit http://www.nature.com/nature/journal/v437/n7063/pdf/4371241a.pdf

  7. DNA Variability: SNPs and the HapMap Project Example of visualization for a non-synonymous SNP from alcohol dehydrogenase (PDB code1htb). Surface pocket R mutation47 Nucleic Acids Res. 2004 January 1; 32(Database issue): D520–D522 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=308838 Metsada Pasmanik-Chor, TAU Bioinforamtics Unit

  8. Sequenced Genomes No. of genes … … How Many Sequenced Genomes? Currently (May 20th, 2007) 558 complete genomes available: and more than 2,500 on-going projects ! Metsada Pasmanik-Chor, TAU Bioinforamtics Unit http://www.genomesonline.org/

  9. Mouse and Human: Not So Far Apart Approx. 150“cut and paste”operations will “transform” humans into mice. Metsada Pasmanik-Chor, TAU Bioinforamtics Unit http://www.public.iastate.edu/~semrich/compgen/cg-header.gif

More Related