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  • Evaluating performance of metagenomic characterization algorithms using in silico datasets generated with FASTQSim
    Anna Shcherbina, Darrell O. Ricke, Nelson Chiu
    bioRxiv 046532; doi: https://doi.org/10.1101/046532
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  • OncoPhase: Quantification of somatic mutation cellular prevalence using phase information
    Donatien Chedom-Fotso, Ahmed Ashour Ahmed, Christopher Yau
    bioRxiv 046631; doi: https://doi.org/10.1101/046631
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  • Sensitive detection of rare disease-associated cell subsets via representation learning
    Eirini Arvaniti, Manfred Claassen
    bioRxiv 046508; doi: https://doi.org/10.1101/046508
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  • FOCUS2: agile and sensitive classification of metagenomics data using a reduced database
    Genivaldo Gueiros Z. Silva, Bas E. Dutilh, Robert A. Edwards
    bioRxiv 046425; doi: https://doi.org/10.1101/046425
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  • Zika virus outbreak in the Americas: Is Aedes albopictus an overlooked culprit?
    Azeem Mehmood Butt, Izza Nasrullah, Raheel Qamar, Yigang Tong
    bioRxiv 044594; doi: https://doi.org/10.1101/044594
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  • Data-driven hypothesis weighting increases detection power in multiple testing
    Nikolaos Ignatiadis, Bernd Klaus, Judith Zaugg, Wolfgang Huber
    bioRxiv 034330; doi: https://doi.org/10.1101/034330
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  • SAMSA: A comprehensive metatranscriptome analysis pipeline
    Samuel T Westreich, Ian Korf, David A. Mills, Danielle G Lemay
    bioRxiv 046201; doi: https://doi.org/10.1101/046201
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  • BIGMAC: Breaking Inaccurate Genomes and Merging Assembled Contigs for long read metagenomic assembly
    Ka-Kit Lam, Richard Hall, Alicia Clum, Satish Rao
    bioRxiv 045690; doi: https://doi.org/10.1101/045690
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  • dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data
    Sergi Sayols, Denise Scherzinger, Holger Klein
    bioRxiv 046243; doi: https://doi.org/10.1101/046243
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  • SCPattern: A statistical approach to identify and classify expression changes in single cell RNA-seq experiments with ordered conditions
    Ning Leng, Li-Fang Chu, Jeea Choi, Christina Kendziorski, James A. Thomson, Ron Stewart
    bioRxiv 046110; doi: https://doi.org/10.1101/046110
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