Computational Efficiency In Alignment

Computational Efficiency in Alignment is a performance metric that quantifies the optimization of time and resource utilization in the process of mapping sequencing reads to a reference genome, distinguishing it from other alignment evaluation criteria by focusing specifically on the scalability and speed of the alignment algorithm.

134

Publications

51.6K

Citations

459

Authors

198

Institutions

Publications per year

2017–2026

50

Authors

459

  1. TL
    Tak‐Wah Lam

    University of Hong Kong, Hong Kong SAR China

    7 publications · 916 citations

    7

    h-index

  2. RL
    Ruibang Luo

    University of Hong Kong, Hong Kong SAR China

    4 publications · 733 citations

    4

    h-index

  3. EW
    Edward Wu

    University of Hong Kong, Hong Kong SAR China

    4 publications · 829 citations

    4

    h-index

  4. SY
    Siu‐Ming Yiu

    University of Hong Kong, Hong Kong SAR China

    3 publications · 713 citations

    3

    h-index

  5. SL
    Steven L. Salzberg

    Johns Hopkins University, United States

    3 publications · 24.4K citations

    3

    h-index

1–5 of 459

Venues

  1. Bioinformatics

    33 publications · 3.1K citations

    24

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 8 publications · 153 citations

    8

    h-index

  3. BMC Bioinformatics

    8 publications · 344 citations

    8

    h-index

  4. Nucleic Acids Research

    7 publications · 2.1K citations

    7

    h-index

  5. PLoS ONE

    5 publications · 588 citations

    5

    h-index

1–5