Sequence Evaluation

Sequence Evaluation is a scholarly contribution in the field of sequencing that consists of a method, model, framework, theory, construct, dataset, task, or metric specifically designed to assess the accuracy, quality, or performance of sequence data or sequencing processes.

125

Publications

8.6K

Citations

536

Authors

210

Institutions

Publications per year

2017–2026

23

Parents

Authors

536

  1. PS
    Praveen Seshadri

    Cornell University, United States

    3 publications · 301 citations

    3

    h-index

  2. ML
    Miron Livny

    University of Wisconsin–Madison, United States

    3 publications · 301 citations

    3

    h-index

  3. HN
    Hans-Hellmut Nagel

    Karlsruhe Institute of Technology, Germany

    3 publications · 87 citations

    3

    h-index

  4. XT
    Xiaoping Tang

    The University of Texas at Austin, United States

    3 publications · 199 citations

    3

    h-index

  5. JG
    Jordi Gonzàlez

    Universitat Autònoma de Barcelona, Spain

    3 publications · 82 citations

    3

    h-index

1–5 of 536

Venues

  1. Science

    6 publications · 585 citations

    6

    h-index

  2. Bioinformatics

    5 publications · 204 citations

    5

    h-index

  3. Genome Research

    GR · 5 publications · 382 citations

    5

    h-index

  4. BMC Bioinformatics

    5 publications · 1.5K citations

    5

    h-index

  5. Bulletin of Mathematical Biology

    4 publications · 551 citations

    4

    h-index

1–5