C.J. Collier

C.J. Collier

Seattle, Washington, United States
2K followers 500+ connections

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About

I've got quite a bit of experience with quite a few computer-related…

Activity

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Experience

  • Google Graphic

    Google

    Seattle, Washington, United States

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    Seattle, Washington, United States

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    Seattle, WA

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    Seattle, Washington, United States

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    Washington, United States

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    Friday Harbor, Washington, United States

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    Seattle, WA

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    Greater Seattle Area

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    Remote

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    WSG HQ, Camp Murray, WA

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    F5 HQ, Seattle, Washington

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Education

  • University of Washington Graphic

    University of Washington

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    Studied Computational Linguistics, Computer Science, Statistics, Information Technology, Cyber Security, Mobile Application Development

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Licenses & Certifications

Volunteer Experience

  • IT Guy

    Orcas Food Co-op

    - 3 years 1 month

    Environment

    Supporting and supported by members of the Orcas Island Community

  • Secretary

    River Winds Band

    - Present 6 years 6 months

    Arts and Culture

    I keep minutes and make them available to the band.

Publications

  • WoLF PSORT: protein localization predictor

    Nucleic Acids Research

    WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs such as DNA-binding motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. Using html, the evidence for each prediction is shown in two ways: (i) a list of proteins of known localization with the most similar…

    WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization features; based on sorting signals, amino acid composition and functional motifs such as DNA-binding motifs. After conversion, a simple k-nearest neighbor classifier is used for prediction. Using html, the evidence for each prediction is shown in two ways: (i) a list of proteins of known localization with the most similar localization features to the query, and (ii) tables with detailed information about individual localization features. For convenience, sequence alignments of the query to similar proteins and links to UniProt and Gene Ontology are provided. Taken together, this information allows a user to understand the evidence (or lack thereof) behind the predictions made for particular proteins. WoLF PSORT is available at http://wolfpsort.org

    Other authors
    See publication

Languages

  • English

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Organizations

  • Free Software Foundation

    Member

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    Interested in re-joining once leadership has been turned over.

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