Mutation Mining

Mutation Mining is a computational method within allele mining that systematically identifies and characterizes naturally occurring nucleotide variants in genomic sequences to uncover functionally significant mutations associated with phenotypic traits.

50

Publications

3K

Citations

240

Authors

119

Institutions

Publications per year

2017–2026

6

Authors

240

  1. CD
    Christopher D. Gocke

    Johns Hopkins University, United States

    2 publications · 514 citations

    2

    h-index

  2. IB
    Igor B. Rogozin

    National Center for Biotechnology Information, United States

    2 publications · 51 citations

    2

    h-index

  3. JR
    James R. Eshleman

    Johns Hopkins University, United States

    2 publications · 514 citations

    2

    h-index

  4. CJ
    Christopher J. O. Baker

    University of New Brunswick, Canada

    2 publications · 65 citations

    2

    h-index

  5. DC
    D.N. Cooper

    Cardiff University, United Kingdom

    2 publications · 140 citations

    2

    h-index

1–5 of 240

Venues

  1. Bioinformatics

    4 publications · 283 citations

    4

    h-index

  2. BMC Medical Informatics and Decision Making

    2 publications · 36 citations

    2

    h-index

  3. Nature Protocols

    2 publications · 250 citations

    2

    h-index

  4. Journal of Theoretical Biology

    2 publications · 84 citations

    2

    h-index

  5. Journal of Molecular Diagnostics

    JMD · 2 publications · 514 citations

    2

    h-index

1–5