Amrita Pati on "GenePRIMP: Improving Microbial Gene Prediction Quality"

submitted by: JGI

Amrita Pati of the DOE Joint Genome Institute's Genome Biology group talks about a computational pipeline that evaluates the accuracy of gene models in genomes and metagenomes at different stages of finishing at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM on May 29, 2009.

Victor Markowitz on "IMG Systems for Comparative Analysis of Microbial Genomes and Metagenomes"

submitted by: JGI

Victor Markowitz, head of the Biological Data Management and Technology Center at Lawrence Berkeley National Laboratory, talks about the Integrated Microbial Genomes system housed at the DOE JGI at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM on May 29, 2009.

Owen White on “A Common Framework for Multiple Sources of Bacterial Annotation”

submitted by: JGI

Owen White, professor of epidemiology and preventive medicine at the University of Maryland School of Medicine and a researcher at the University of Maryland Institute for Genome Sciences, gives the May 29, 2009 keynote speech at the "Sequencing, Finishing, Analysis in the Future" meeting in Santa Fe, NM.

Metagenomic Comparison of the Microbial Hindgut Communities in Drywood- and Grass-Feeding Termites

submitted by: dougramsey
Falk Warnecke, Microbial Ecology Program, Joint Genome Institute, DOE Co-authors: Natalia Ivanova, Martin Allgaier, Nikos Kyrpides, Rudolf Scheffrahn, and Phil Hugenholtz Termites are highly efficient in degrading lignocellulosic biomass. In a recent metagenomic study we showed for the first time that microbes inhabiting the termite hindgut encode hundreds of carbohydrate-active enzymes, e.g. glycosyl hydrolases (GHs) and tens of carbohydrate binding modules (CBMs) and by implication are...

The Genomes Online Database (GOLD): The Value of a Comprehensive Metadata Collection

submitted by: dougramsey

The Genomes Online Database (GOLD): The Value of a Comprehensive Metadata Collection - Nikos Kyrpides, Joint Genome Institute

Efficient Metagenomics Data Processing: Pitfalls and Solutions

submitted by: dougramsey
Nikos Kyrpides, Joint Genome Institute Co-authors: Kostas Mavrommatis, Natalia Ivanova Metagenomics has emerged as a powerful tool for exploration of the functional capabilities of microbial communities regardless of the ability of their members to grow in pure culture. However, little is known for the efficacy of the methods used to process these datasets. Further more, sequencing of environmental genomic DNA usually results in large, highly fragmented datasets representing a significant...