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Gavin Sherlock

Researcher at Stanford University

Publications -  177
Citations -  98574

Gavin Sherlock is an academic researcher from Stanford University. The author has contributed to research in topics: Gene & Population. The author has an hindex of 71, co-authored 164 publications receiving 88897 citations. Previous affiliations of Gavin Sherlock include University of Southern California & University of California, Berkeley.

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Bulk segregant analysis by high-throughput sequencing reveals a novel xylose utilization gene from Saccharomyces cerevisiae.

TL;DR: It is demonstrated that natural S. cerevisiae yeasts are capable of utilizing xylose as the sole carbon source, the genetic basis for this trait as well as the endogenous xylOSE utilization pathway are characterized, and the feasibility of BSA is demonstrated using high-throughput sequencing.
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Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads.

TL;DR: Rnnotator as mentioned in this paper is an automated software pipeline that generates transcript models by de novo assembly of RNA-Seq data without the need for a reference genome, and it has been applied to two yeast transcriptomes and compared the results to the reference gene catalogs.
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The Stanford Microarray Database: implementation of new analysis tools and open source release of software

TL;DR: Several data analysis tools implemented in SMD are described and features of the software release are discussed, enabling other groups to create a local installation of SMD.
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The Aspergillus Genome Database (AspGD): recent developments in comprehensive multispecies curation, comparative genomics and community resources

TL;DR: AspGD curators have now completed comprehensive review of the entire published literature about Aspergillus nidulans and As pergillus fumigatus, and this annotation is provided with streamlined, ortholog-based navigation of the multispecies information.
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Identification of cell cycle–regulated genes periodically expressed in U2OS cells and their regulation by FOXM1 and E2F transcription factors

TL;DR: Characterization of the cell cycle–regulated transcripts in U2OS cells yielded 1871 unique genes, and FOXM1 targets were identified via ChIP-seq, and novel targets in G2/M and S phases were verified using a real-time luciferase assay.