Single-cell Assembly

Single-Cell Assembly is a computational method in sequence assembly that reconstructs complete genomes or transcriptomes from the fragmented sequencing data derived from individual cells, distinguishing itself by addressing amplification biases, sparse coverage, and high error rates inherent in single-cell sequencing technologies.

31

Publications

31K

Citations

168

Authors

73

Institutions

Publications per year

2017–2026

12

Authors

168

  1. PA
    Pavel A. Pevzner

    University of California San Diego, United States

    5 publications · 29K citations

    5

    h-index

  2. HC
    Hamidreza Chitsaz

    Colorado State University, United States

    3 publications · 333 citations

    3

    h-index

  3. AD
    Andrey D. Prjibelski

    St Petersburg University, Russia

    3 publications · 28.7K citations

    3

    h-index

  4. GT
    Glenn Tesler

    University of California San Diego, United States

    3 publications · 28.8K citations

    3

    h-index

  5. SN
    Sergey Nurk

    National Human Genome Research Institute, United States

    3 publications · 28.7K citations

    3

    h-index

1–5 of 168

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 55 citations

    3

    h-index

  2. Bioinformatics

    3 publications · 331 citations

    3

    h-index

  3. Nucleic Acids Research

    2 publications · 63 citations

    2

    h-index

  4. Network Computation in Neural Systems

    2 publications · 67 citations

    2

    h-index

  5. Journal of Computational Biology

    2 publications · 28.6K citations

    2

    h-index

1–5