Skip Navigation

CIT can broadcast your seminar, conference or meeting live to a world-wide audience over the Internet as a real-time streaming video. The event can be recorded and made available for viewers to watch at their convenience as an on-demand video or a downloadable podcast. CIT can also broadcast NIH-only or HHS-only content.

Annotating the Human Genome in Terms of Protein Fossils

Loading video...

Air date: Friday, May 7, 2004, 10:00:00 AM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 84 * This only includes stats from October 2011 and forward.
Category: Proteomics
Runtime: 01:33:56
Description: A central problem for 21st century science will be the analysis and understanding of the human genome. My talk will be concerned with topics within this area, in particular annotating pseudogenes (protein fossils) in the genome. I will discuss a comprehensive pseudogene identification pipeline and storage database we have built. This has enabled use to identify >10K pseudogenes in the human and mouse genomes and analyze their distribution with respect to age, protein family, chromosomal location. One interesting finding is the large number of ribosomal pseudogenes in the human genome, with 80 functional ribosomal proteins giving rise to ~2,000 ribosomal protein pseudogenes. At end I will talk broadly about pseudogenes, in terms of their composition and mutation rates and I will compare pseudogenes in the human with those in a number of other model organisms, including worm, fly, yeast, and various prokaryotes.
Debug: Show Debug
NLM Title: Computational proteomics : pseudogenes in the human genome, in context / Mark B. Gerstein.
Author: Gerstein, Mark B.
National Institutes of Health (U.S.)
Subjects: Evolution, Molecular
Genome, Human
Publication Types: Lectures
Rights: This is a work of the United States Government. No copyright exists on this material. It may be disseminated freely.
Download: To download this event, select one of the available bitrates:
[384k]    How to download a Videocast
NLM Classification: QU 470
NLM ID: 101268452
CIT Live ID: 3067
Permanent link: