Polymorphism Handling

Polymorphism Handling is a computational strategy in metagenome assembly that specifically addresses allelic and isoformic variation within microbial populations by distinguishing true biological polymorphisms from sequencing or assembly artifacts.

5

Publications

226

Citations

26

Authors

14

Institutions

Publications per year

2017–2026

1

Authors

26

  1. DF
    Daniel Fasulo

    Case Western Reserve University, United States

    1 publications · 23 citations

    1

    h-index

  2. SW
    Shichen Wang

    Kansas State University, United States

    1 publications · 145 citations

    1

    h-index

  3. FT
    Facundo Tabbita

    University of California, Davis, United States

    1 publications · 145 citations

    1

    h-index

  4. PB
    Paul Bailey

    John Innes Centre, United Kingdom

    1 publications · 145 citations

    1

    h-index

  5. AN
    Anton Nekrutenko

    Pennsylvania State University, United States

    1 publications · 28 citations

    1

    h-index

1–5 of 26

Venues

  1. Genome biology

    1 publications · 145 citations

    1

    h-index

  2. Bioinformatics

    1 publications · 23 citations

    1

    h-index

  3. BioTechniques

    1 publications · 28 citations

    1

    h-index

  4. Proceedings of the ACM on Programming Languages

    PACMPL · 1 publications · 12 citations

    1

    h-index

1–4