submitted by: nsf

DNA contains the genetic code used by all known living organisms. It also contains historical information, because it collects “mistakes,” called mutations, over time. DNA is a building block too--it has the ability to self-assemble into complex structures.

Sequencing Technologies Panel at SFAF

submitted by: JGI

From left to right: Steve Turner of Pacific Biosciences, Haley Fiske of Illumina, Jim Knight of Roche, Michael Rhodes of Life Technologies and Peter Vander Horn of Life Technologies' Single Molecule Sequencing group discuss new sequencing technologies and applications on June 2, 2010 at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM.

Steve Turner on "Single Molecule Real Time DNA Sequencing"

submitted by: JGI

Steve Turner of Pacific Biosciences talks about SMRT DNA sequencing at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM on May 27, 2009.

"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...

Reconstruction of Alternative Splice Variants and Associated Abundances from Short Sequence Reads (CSHL Genome Informatics Conference 2008)

submitted by: micha
The FLUX CAPACITOR : next generation sequencing technologies provide an unprecedented capacity for surveying the nucleic acid content of cells. This profound sequencing depth may allow in particular for exhaustively sequencing through the large dyanimc range of RNA abundances in the cell, overcoming limitations imposed by current (random) clone selection approaches. However, the very short reads produced by the most cost-effective such technologies make the reconstruction of complete RNA...

Gene Expression Computational Lab - Chris Miller

submitted by: ralanharris

An introduction to computational methods for analyzing gene expression data by Chris Miller. This was presented as a lab within the Computer Aided Discovery Methods course offered within the Graduate Program at Baylor College of Medicine.