Concepedia

Containment Detection

Containment Detection is a computational method in string graph assembly that identifies when one DNA sequence is entirely embedded within another, distinguishing it from overlap-based methods by focusing on subsequence inclusion rather than bidirectional end-to-end alignment.

3

Publications

337

Citations

12

Authors

2

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–4 of 3

Authors

12

  1. VP
    Vern Paxson

    International Computer Science Institute, United States

    1 publications · 268 citations

    1

    h-index

  2. HZ
    Hui Zhang

    Carnegie Mellon University, United States

    1 publications · 52 citations

    1

    h-index

  3. YX
    Yinglian Xie

    Microsoft (United States), United States

    1 publications · 52 citations

    1

    h-index

  4. MM
    Mark McClellan

    Brookings Institution, United States

    1 publications · 17 citations

    1

    h-index

  5. SG
    Scott Gottlieb

    American Enterprise Institute, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 12

Institutions

2

  1. Carnegie Mellon University

    Pittsburgh, United States

    1 h-index

    4 publications

    208 citations

  2. International Computer Science Institute

    Berkeley, United States

    1 h-index

    2 publications

    536 citations

  3. John Deere (United States)

    Moline, United States

    1 publications

    11 citations

  4. University of Illinois Urbana-Champaign

    Urbana, United States

    1 publications

    11 citations

1–4 of 2