Natalie Sauerwald
@natsauerwald
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Research fellow interested in genomics for human health and also lots of other things
Joined July 2017
RT @OlgaTroyanskaya: Excited to share our latest preprint! With a great team led by @natsauerwald and @avithemicrobe: “Decomposition of phe….
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RT @ThomasSumner: A new method diagnoses COVID-19 patients with near-perfect accuracy (98.4%!) without waiting for symptoms. The approach….
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RT @cosmo_shirley: @SimonsFdn's @FlatironInst will host the first #MachineLearning X #Science summer school!.It is 8 weeks long with lectur….
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In a large-scale study of 137 Hi-C samples, we find that TADs vary fairly significantly across cell types, and even across replicates. Check out the preprint for more details and TAD variability analysis!.
Analysis of the structural variability of topologically associated domains as revealed by Hi-C #bioRxiv.
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RT @danfdeblasio: You may have seen the flyers about #FAB2018 while attending @iscb's #ISMB18/#ISMB2018. If you have opinions about the Fut….
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RT @danfdeblasio: The #NSFFunded "Workshop on the Future of Algorithms in Biology" is being held here at @CMUCompBio (@SCSatCMU), September….
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RT @ckingsford: #CMU is hosting an #NSFFunded Workshop on the Future of Algorithms in Biology #fab2018 Sept. 28-29, 2018. Submit a proposa….
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RT @GenomeBiology: Ma, Shao and @ckingsford present SQUID, a method for detecting structural variants in RNA-seq data (hopefully this time….
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RT @notSoJunkDNA: Cong Ma (from @ckingsford lab) on SQUID to study fusion and “non-fusion-gene” Transcriptomic Structural Variations #GI2017.
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