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Chad Nusbaum

Researcher at Massachusetts Institute of Technology

Publications -  70
Citations -  69227

Chad Nusbaum is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 48, co-authored 69 publications receiving 62980 citations. Previous affiliations of Chad Nusbaum include Barts Health NHS Trust & Uniformed Services University of the Health Sciences.

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Comprehensive comparative analysis of strand-specific RNA sequencing methods

TL;DR: A comprehensive computational pipeline is developed to compare library quality metrics from any RNA-seq method and identified the dUTP second-strand marking and the Illumina RNA ligation methods as the leading protocols, with the former benefitting from the current availability of paired-end sequencing.
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A Catalog of Reference Genomes from the Human Microbiome

TL;DR: Results from an initial reference genome sequencing of 178 microbial genomes allow for ~40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used, suggesting that the authors are still far from saturating microbial species genetic data sets.
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Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry.

TL;DR: Several single-cell -omics approaches are used to define the cellular processes and pathways in the human RA joint and attributed IL6 expression to THY1+HLA-DRAhi fibroblasts and IL1B production to pro-inflammatory monocytes, potentially key mediators of RA pathogenesis.
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The Genome of M. Acetivorans Reveals Extensive Metabolic and Physiological Diversity

James E. Galagan, +76 more
- 01 Apr 2002 - 
TL;DR: The complete genome sequence of an acetate-utilizing methanogen, Methanosarcina acetivorans C2A, is reported, which indicates the likelihood of undiscovered natural energy sources for methanogenesis, whereas the presence of single-subunit carbon monoxide dehydrogenases raises the possibility of nonmethanogenic growth.
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High-resolution mapping of copy-number alterations with massively parallel sequencing

TL;DR: A collection of ∼14 million aligned sequence reads from human cell lines has comparable power to detect events as the current generation of DNA microarrays and has over twofold better precision for localizing breakpoints (typically, to within ∼1 kilobase).