Annotation Transfer

Annotation Transfer is a computational method in the domain of sequence analysis that leverages homology-based inference to assign functional or structural annotations from characterized biological sequences to uncharacterized target sequences by exploiting alignment probabilities derived from profile hidden Markov models.

54

Publications

6.2K

Citations

222

Authors

111

Institutions

Publications per year

2017–2026

17

Authors

222

  1. ML
    Maria Littmann

    Technical University of Munich, Germany

    4 publications · 358 citations

    4

    h-index

  2. BR
    Burkhard Rost

    Columbia University, United States

    4 publications · 358 citations

    4

    h-index

  3. MH
    Michael Heinzinger

    Technical University of Munich, Germany

    4 publications · 358 citations

    4

    h-index

  4. LG
    Leonidas Guibas

    Stanford University, United States

    3 publications · 765 citations

    3

    h-index

  5. CO
    Christine Orengo

    University College London, United Kingdom

    3 publications · 196 citations

    3

    h-index

1–5 of 222

Venues

  1. Nucleic Acids Research

    7 publications · 1.1K citations

    7

    h-index

  2. BMC Bioinformatics

    6 publications · 290 citations

    6

    h-index

  3. Bioinformatics

    6 publications · 1.4K citations

    6

    h-index

  4. Genome Research

    GR · 3 publications · 847 citations

    3

    h-index

  5. BMC Genomics

    3 publications · 329 citations

    3

    h-index

1–5