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Joshua D. Welch

Researcher at University of Michigan

Publications -  62
Citations -  3819

Joshua D. Welch is an academic researcher from University of Michigan. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 20, co-authored 50 publications receiving 2081 citations. Previous affiliations of Joshua D. Welch include Broad Institute & University of North Carolina at Chapel Hill.

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UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization

TL;DR: Welch et al. as mentioned in this paper derive a nonnegative matrix factorization algorithm for integrating single-cell datasets containing both shared and unshared features, incorporating an additional metagene matrix that allows un-shared features to inform the factorization.
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SquiggleNet: real-time, direct classification of nanopore signals.

TL;DR: SquiggleNet as mentioned in this paper is the first deep learning model that can classify nanopore reads directly from their electrical signals, and it operates faster than DNA passes through the pore, allowing realtime classification and read ejection.
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Selective single cell isolation for genomics using microraft arrays

TL;DR: It is demonstrated that microraft arrays, which are arrays containing thousands of individual cell culture sites, can be used to select single cells based on a variety of phenotypes, such as cell surface markers, cell proliferation and drug response, to select pancreatic cancer cells that proliferate in spite of cytotoxic drug treatment.
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EnD-Seq and AppEnD: sequencing 3′ ends to identify nontemplated tails and degradation intermediates

TL;DR: The sensitivity of EnD-Seq is increased by using cDNA priming to specifically enrich low-abundance tails of known sequence composition allowing identification of degradation intermediates, and the broad applicability of the computational approach is shown by using AppEnD to gain insight into 3' additions from diverse types of sequencing data, including data from small capped RNA sequencing and some alternative polyadenylation protocols.