Consensus Sequence Analysis

Consensus Sequence Analysis is a computational method in molecular biology that identifies conserved nucleotide or amino acid patterns across a set of aligned sequences derived from selection experiments, distinguishing itself by inferring functionally critical motifs through statistical aggregation of recurring residues at each position.

278

Publications

29K

Citations

1.1K

Authors

460

Institutions

Publications per year

2017–2026

42

Authors

1.1K

  1. WH
    W. H. Day

    Memorial University of Newfoundland, Canada

    6 publications · 166 citations

    6

    h-index

  2. FM
    F.R. McMorris

    University of Louisville, United States

    6 publications · 166 citations

    6

    h-index

  3. LA
    Lorenzo A. Pinna

    University of Padua, Italy

    3 publications · 102 citations

    3

    h-index

  4. TJ
    Travis J. Wheeler

    University of Montana, United States

    3 publications · 1.1K citations

    3

    h-index

  5. RH
    Robert Hubley

    Institute for Systems Biology, United States

    3 publications · 1.1K citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Journal of Biological Chemistry

    JBC · 26 publications · 2.8K citations

    24

    h-index

  2. Nucleic Acids Research

    23 publications · 6K citations

    21

    h-index

  3. Journal of Bacteriology

    JB · 15 publications · 1.1K citations

    14

    h-index

  4. Molecular and Cellular Biology

    MCB · 7 publications · 771 citations

    7

    h-index

  5. Computer applications in the biosciences

    CABIOS · 7 publications · 582 citations

    7

    h-index

1–5