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Michael F. Lin

Researcher at Massachusetts Institute of Technology

Publications -  44
Citations -  25299

Michael F. Lin 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 32, co-authored 44 publications receiving 23142 citations. Previous affiliations of Michael F. Lin include Broad Institute & Vassar College.

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Comparative functional genomics of the fission yeasts

Nicholas Rhind, +66 more
- 20 May 2011 - 
TL;DR: Differences in gene content and regulation explain why, unlike the budding yeast of Saccharomycotina, fission yeasts cannot use ethanol as a primary carbon source and provide tools for investigation across the Schizosaccharomyces clade.
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Variation graph toolkit improves read mapping by representing genetic variation in the reference.

TL;DR: Vg as discussed by the authors is a toolkit of computational methods for creating, manipulating, and using these structures as references at the scale of the human genome, which provides an efficient approach to mapping reads onto arbitrary variation graphs using generalized compressed suffix arrays, with improved accuracy over alignment to a linear reference.
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Ebola virus epidemiology, transmission, and evolution during seven months in Sierra Leone

Daniel J. Park, +96 more
- 18 Jun 2015 - 
TL;DR: Analysis of sequences from 232 patients sampled over 7 months in Sierra Leone, along with 86 previously released genomes from earlier in the epidemic, confirms sustained human-to-human transmission within Sierra Leone and finds no evidence for import or export of EBOV across national borders after its initial introduction.
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Evidence of abundant stop codon readthrough in Drosophila and other metazoa.

TL;DR: An expanded set of 283 readthrough candidates is reported, including 16 double-readthrough candidates; these were manually curated to rule out alternatives such as A-to-I editing, alternative splicing, dicistronic translation, and selenocysteine incorporation.
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IDseq-An open source cloud-based pipeline and analysis service for metagenomic pathogen detection and monitoring.

TL;DR: Novel virus detection capability is benchmarked using both synthetically evolved viral sequences and real-world samples, including IDseq analysis of a nasopharyngeal swab sample acquired and processed locally in Cambodia from a tourist infected with the recently emergent SARS-CoV-2.