Single-cell Variant Analysis

Single-Cell Variant Analysis is a subfield of bioinformatics and computational genomics that focuses on the detection, quantification, and interpretation of genetic variants at single-cell resolution from single-cell sequencing data, thereby characterizing cellular heterogeneity, clonal architecture, and genotype–phenotype relationships.

209

Publications

19K

Citations

1.8K

Authors

505

Institutions

Publications per year

2017–2026

143

Authors

1.8K

  1. DP
    David Posada

    Universidade de Vigo, Spain

    6 publications · 160 citations

    6

    h-index

  2. NE
    Nicholas E. Navin

    The University of Texas MD Anderson Cancer Center, United States

    6 publications · 2K citations

    6

    h-index

  3. HW
    Hanjie Wu

    University of Copenhagen, Denmark

    5 publications · 1.8K citations

    5

    h-index

  4. NB
    Niko Beerenwinkel

    ETH Zurich, Switzerland

    5 publications · 606 citations

    5

    h-index

  5. PJ
    Peter J. Park

    Harvard University, United States

    5 publications · 959 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. Nature Communications

    12 publications · 2K citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 14 publications · 234 citations

    11

    h-index

  3. Bioinformatics

    9 publications · 357 citations

    9

    h-index

  4. Nature Biotechnology

    8 publications · 1.8K citations

    8

    h-index

  5. Nature Genetics

    8 publications · 1.2K citations

    8

    h-index

1–5