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GBrowse2 Saturday 4:00-4:15, Lincoln Stein, part of BOSC SIG

GMOD @ ISMB 2010. Analysis and Workflow. Galaxy: Analyze, Visualize, Communicate Saturday 1:30-5:30, Galaxy Team NGS Analysis with Galaxy on the Cloud Monday 3:30-3:55, TT26, Anton Nekrutenko Sample Tracking and automated data processing in Galaxy for NGS

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GBrowse2 Saturday 4:00-4:15, Lincoln Stein, part of BOSC SIG

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  1. GMOD@ISMB 2010 Analysis and Workflow Galaxy: Analyze, Visualize, Communicate Saturday 1:30-5:30, Galaxy Team NGS Analysis with Galaxy on the Cloud Monday 3:30-3:55, TT26, Anton Nekrutenko Sample Tracking and automated data processing in Galaxy for NGS Facilities Monday 4:00-4:25, TT28, Anton Nekrutenko ISGA - An Intuitive Web Server for Prokaryotic Genome Annotation and other Analysis, Mon 12:40-2:30,I10, Christopher Hemmerich Online Quantitative Transcriptome Analysis, Mon 12:40-2:30,J60, Regina Bohnert Galaxy NGS functionality from sample tracking to SNP calling: An interactive poster, Mon 12:40-2:30, U60, Ramakrishna Chakrabarty Tut. Talks Posters Genomic Visualization GBrowse2 Saturday 4:00-4:15, Lincoln Stein, part of BOSC SIG GMOD Presents GBrowse 2.0 and JBrowse Tuesday 11:15-11:40, TT32, Scott Cain AGeS: A Software System for Annotation and Analysis of Genome Sequences, Sun 12:40-2:30,I01, Nela Zavaljevski GBrowse and Next Generation Sequencing Data, I15, Scott Cain ZFNGenome: A GBrowse-based tool for identifying Zinc Finger Nuclease target sites in model organisms, Mon 12:40-2:30, E18, Deepak Reyon Choosing a Genome Browser for a Model Organism Database: Surveying the Maize Community, Mon 12:40-2:30, E30, Taner Sen WebGBrowse - A Web Server for GBrowse, Mon 12:30-2:30, Z02, Ram Podicheti Talks Posters Pathways Demonstration of the Pathway Tools Software and BioCyc Databases, Tuesday 2:45-3:10, TT38, Peter Karp An Advanced Web Query Interface for Biological Database, Monday 12:40-2:30, E02, Peter Karp T P GMOD is a collection of interoperable, open source software components for managing, visualizing, and annotating biological data. GMOD has mailing lists, meetings, a wiki, support staff, courses, and an active community of users and developers addressing common challenges with their data. http://gmod.org got genome?

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