'Proteomic data' presentation slideshows

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Gene Structure Annotation

Gene Structure Annotation

David Swarbreck. ASPB Plant Biology, June 29, 2008, Merida. Gene Structure Annotation. Outline. Overview of TAIR8 Data availability Assembly updates Transposable elements Plans for TAIR9 Gene confidence Alternative gene model Utilising Comparative, proteomic and transcriptome data

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536 views • 44 slides
Gene Structure Annotation

Gene Structure Annotation

David Swarbreck. ASPB Plant Biology, June 29, 2008, Merida. Gene Structure Annotation. Outline. Overview of TAIR8 Data availability Assembly updates Transposable elements Plans for TAIR9 Gene confidence Alternative gene model Utilising Comparative, proteomic and transcriptome data

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463 views • 44 slides
UniProtKB

UniProtKB

Sandra Orchard. UniProtKB. Importance of reference protein sequence databases. Completeness and minimal redundancy A non redundant protein sequence database, with maximal coverage including splice isoforms, disease variant and PTMs.

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613 views • 37 slides
What are the right questions?

What are the right questions?

The Data Explosion How can we achieve interoperability? James Williams Siemens Corporate Research Princeton, NJ. ?. What are the right questions?. Size : data is growing, how do we cope? Repeatability : how do we standardize and normalize image generation?

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651 views • 8 slides
What are the right questions?

What are the right questions?

The Data Explosion How can we achieve interoperability? James Williams Siemens Corporate Research Princeton, NJ. ?. What are the right questions?. Size : data is growing, how do we cope? Repeatability : how do we standardize and normalize image generation?

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152 views • 8 slides
Figure S1: KSHV Aligned Gene Annotation, Transcripts, & Proteins

Figure S1: KSHV Aligned Gene Annotation, Transcripts, & Proteins

Figure S1: KSHV Aligned Gene Annotation, Transcripts, & Proteins. KSHV Gene Annotation. KSHV Proteomes A) None B) Purple = BC-1 C) Orange = BC-1 Lytic D) Blue = BCBL-1 Dark Blue = BCBL-1 Lytic E ) Black = Sum Total . KSHV Transcriptomes A) Black = BJAB

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136 views • 2 slides
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125 views • 2 slides
Proposed Research Problem Solving Environment for T. cruzi

Proposed Research Problem Solving Environment for T. cruzi

Collaborative RO1 with NCBO Semantics and Services Enabled Problem Solving Environment For Trypanosoma Cruzi. Amit Sheth (PI), Rick Tarleton, Prashant Doshi , Mark Musen, Natasha Noy, Satya Sahoo, D. Brent Weatherly, Pablo Mendes. Driving Biological Problem Trypanosoma Cruzi (T. cruzi ):

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145 views • 1 slides

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