"Reading & Writing Genomes" - George Church @ '09 DOE JGI User Meeting

submitted by: JGI
George Church (Harvard University) keynote talk for DOE Joint Genome Institute (JGI) '09 Church elaborates on the future direction and development of genomic sequensing and reducing the cost of genomic research, while increasing the efficiency and possibilities, inclusive of developing multivirus resistance genomes. User Meeting on March 26, 2009, with introduction by Len Pennacchio (JGI).George Church (Harvard University) keynote talk for DOE JGI '09 User Meeting on March 26, 2009, with...

San Diego Science Festival -- Nifty Fifty -- Robert Balderas

submitted by: sdscienccefestival

Dr. Balderas discusses cellular analysis with students from Jefferson Middle School.

San Diego Science Festival -- Nifty Fifty -- Dr. John Stuelpnagel

submitted by: sdscienccefestival

Dr. John Stuelpnagel discusses genomics with students from Lewis Middle School.

San Diego Science Festival -- Lunch with a Laureate -- Dr. Kurt Withrich

submitted by: sdscienccefestival

Nobel Laureate Kurt Wuthrich joins students of High Tech High - Chula Vista in an informal Q&A.

Genome Quest

submitted by: dougramsey
Genomics research holds the possibility for transforming personalized medicine, consumer industries and the environment. However, in order to make decisions organizations must integrate and provide a single view of silos of genomic data. Past approaches have relied on database technology and have not succeeded due to maintenance costs, poor user interfaces, lack of scalability, or inability to change. Our mission is to use search, not database technology to cost-effectively deliver relevant...

Computational Lab - Prof. Cristian Coarfa (2009)

submitted by: ralanharris

An introduction to computational methods for analyzing ChIP-Seq data by Cristian Coarfa. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.

Structural Genomics (SG) & Beginning a Research Dialogue with the Metagenomics Community

submitted by: dougramsey

Ian Wilson of The Scripps Research Institute & Stephen Burley, Eli Lilly & Co. Presents "Structural Genomics (SG) & Beginning a Research Dialogue with the Metagenomics Community"

Should Genomics Contextual Data Fly Coach?

submitted by: dougramsey
Inigo San Gil, University of New Mexico The Long Term Ecological Research Network (LTER) creates long-term ecological data records in twenty six sites across the US. Five years ago the LTER adopted a metadata specification called the Ecological Metadata Language (EML) to facilitate network data integration and synthesis. A growing number of LTER scientists are conducting genomics research, thus the need to adopt an integrated genomics and ecological data management system is urgent....


submitted by: dougramsey
Delivering the performance equivalent of hundreds to over one thousand CPU cores per accelerated node, the TimeLogic solutions are ideal for data-intensive next-generation genomics. Life science institutions worldwide have chosen the TimeLogic brand as their optimal solution for high-throughput bioinformatics. The DeCypher and CodeQuest biocomputing solutions blend proven bioinformatics algorithms with ultra-fast accelerator hardware to achieve a perfect combination of performance, accuracy,...

Towards Computer Assisted Markup of Data: Habitat-Lite

submitted by: dougramsey
Lynette Hirschman, The MITRE Corporation Co-authors: Scott Mardis, Cheryl Clark, Kevin Cohen Habitat-Lite (aka EnvO-Lite) is a set of structured terms designed to facilitate capture of high-level information about habitat and sample source metadata for genomics and metagenomics samples. It is designed to be light-weight and compact. Habitat-Lite terms are drawn from the full EnvO ontology and are made avail able by the EnvO Consortium in the EnvO-Lite-GSC OBO file. Habitat-Lite terms include...