Explore tweets tagged as #SWIFTseq
Listening to how a DNA sequencing team uses SwiftSeq and optimizes on @awscloud at a #meetup #singapore
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Come to poster 49 to see UChicago's SwiftSeq software, a high-performance workflow for processing DNA sequencing datasets #TCGA14
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Myeloma Paper of the Day, August 10th, Suggested by Robert Orlowski (@Myeloma_Doc) @IrenemGhobrial @NatureCancer
https://t.co/hbwOmJUmDG
#OncoDaily #Oncology #Cancer #Health #Medicine #MedTwitter #MedEd #MedOnc #MedNews #MM #Myeloma #SWIFTseq @CancerWorldmag
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JP: SwiftSeq has a web GUI where uses specifies algorithms and parameters > JSON > SwiftSeq parallelized #biodata14
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JP: Distributing VCFs through bionimbus protected data cloud, SwiftSeq code will be available November 2014 #biodata14 #opendata #opensource
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JP: SwiftSeq Web gui has specific workflows (Mutect, BWA mem), also have monolithic best practices #biodata14
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JP: SwiftSeq did some optimization, improved substantially, processed ~6000 exomes, >200 whole genomes #biodata14
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JP brings the numbers w SwiftSeq: exomes analyzed in 35 minutes, whole genome in less than 11 hours #biodata14
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Next, Jason Pitt "Robust scaling of next-generation sequencing analyses using the modular SwiftSeq workflow" #biodata14
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