Author

Brian Haas

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Biology Disciplines

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Bioinformatics· 1

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Bill Long· 1 shared Carlos P. Sosa· 1 shared Jef Dawson· 1 shared Pierre Carrier· 1 shared Richard Walsh· 1 shared Thomas William· 1 shared Timothy Tickle· 1 shared

Activity by Year

2015-2015 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bill Long

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1 paper

Recent·Most cited

The Impact of High-Performance Computing Best Practice Applied to Next-Generation Sequencing Workflows

Pierre Carrier, Bill Long, Richard Walsh, Jef Dawson, Carlos P. Sosa, Brian Haas, Timothy Tickle, Thomas William

This paper demonstrates how distributed-memory parallelism improves NGS workflow performance and resource utilization using the Inchworm module of the Trinity RNA-Seq pipeline.

bioRxiv · Apr 7, 2015 · PreprintBioinformatics