Gene Set Annotation Databases

Gene Set Annotation Databases is a structured repository that systematically compiles and categorizes biologically relevant gene sets based on shared functional, pathway, or phenotypic annotations to support the interpretation of high-throughput genomic data in Gene Set Enrichment Analysis.

87

Publications

24.5K

Citations

547

Authors

222

Institutions

Publications per year

2017–2026

23

Authors

547

  1. RM
    Robert M. Kuhn

    University of California, Santa Cruz, United States

    5 publications · 1.6K citations

    5

    h-index

  2. HC
    Hiram Clawson

    University of California, Santa Cruz, United States

    5 publications · 1.6K citations

    5

    h-index

  3. DH
    David Haussler

    University of California, Santa Cruz, United States

    5 publications · 1.6K citations

    5

    h-index

  4. WJ
    W. James Kent

    University of California, Santa Cruz, United States

    4 publications · 1.1K citations

    4

    h-index

  5. DK
    Donna Karolchik

    University of California, Santa Cruz, United States

    4 publications · 1.1K citations

    4

    h-index

1–5 of 547

Venues

  1. Nucleic Acids Research

    24 publications · 4.4K citations

    21

    h-index

  2. Bioinformatics

    11 publications · 15.3K citations

    10

    h-index

  3. Database

    6 publications · 2.7K citations

    6

    h-index

  4. BMC Bioinformatics

    6 publications · 268 citations

    6

    h-index

  5. BMC Genomics

    5 publications · 282 citations

    5

    h-index

1–5