Single-cell Read Mapping

Single-Cell Read Mapping is a computational method in genomics that specifically aligns sequencing reads originating from individual cells to a reference genome, distinguishing itself from bulk read mapping by accounting for the unique technical artifacts and biological variability inherent in single-cell sequencing data.

12

Publications

1.4K

Citations

92

Authors

42

Institutions

Publications per year

2017–2026

11

Authors

92

  1. CZ
    Christoph Ziegenhain

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 457 citations

    2

    h-index

  2. BV
    Beate Vieth

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 457 citations

    2

    h-index

  3. SP
    Swati Parekh

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 457 citations

    2

    h-index

  4. WE
    Wolfgang Enard

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 457 citations

    2

    h-index

  5. RP
    Rob Patro

    Stony Brook University, United States

    2 publications · 320 citations

    2

    h-index

1–5 of 92

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 54 citations

    2

    h-index

  2. GigaScience

    1 publications · 416 citations

    1

    h-index

  3. Nature Methods

    1 publications · 221 citations

    1

    h-index

  4. Lab on a Chip

    1 publications · 15 citations

    1

    h-index

  5. Nature Biotechnology

    1 publications · 36 citations

    1

    h-index

1–5