Phasing Algorithms

Phasing Algorithms is a computational method in population genomics that belongs to the class of haplotype inference techniques, distinguished by its ability to reconstruct the phase of heterozygous genotypes by determining the co-inheritance patterns of alleles along homologous chromosomes.

42

Publications

26.1K

Citations

128

Authors

78

Institutions

Publications per year

2017–2026

8

Authors

128

  1. TM
    Tobias Marschall

    Heinrich Heine University Düsseldorf, Germany

    3 publications · 148 citations

    3

    h-index

  2. MM
    Marcel Martin

    Science for Life Laboratory, Sweden

    3 publications · 148 citations

    3

    h-index

  3. RS
    Ron Shamir

    Tel Aviv University, Israel

    2 publications · 155 citations

    2

    h-index

  4. QS
    Qun Shen

    China Agricultural University, China

    2 publications · 68 citations

    2

    h-index

  5. LP
    Lukáš Palatinus

    FZU ‒ Institute of Physics of the Academy of Sciences of the Czech Republic, Czechia

    2 publications · 234 citations

    2

    h-index

1–5 of 128

Venues

  1. Bioinformatics

    2 publications · 107 citations

    3

    h-index

  2. BMC Bioinformatics

    2 publications · 105 citations

    2

    h-index

  3. Journal of Applied Crystallography

    2 publications · 20.9K citations

    2

    h-index

  4. 2

    h-index

  5. The American Journal of Human Genetics

    AJHG · 2 publications · 463 citations

    2

    h-index

1–5