Concepedia

Colinear Block Detection

Colinear Block Detection is a computational method in genome alignment that identifies conserved genomic regions exhibiting synteny and sequence similarity across multiple species, distinguished by its specific focus on detecting blocks of homologous sequences preserved in a collinear (order-preserving) arrangement.

2

Publications

40

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–3 of 2

Authors

4

  1. TD
    Tal Dagan

    Christian-Albrechts-Universität zu Kiel, Germany

    2 publications · 40 citations

    2

    h-index

  2. MZ
    Michal Ziv-Ukelson

    Ben-Gurion University of the Negev, Israel

    2 publications · 40 citations

    2

    h-index

  3. DS
    Dina Svetlitsky

    Ben-Gurion University of the Negev, Israel

    2 publications · 40 citations

    2

    h-index

  4. VC
    Vered Chalifa‐Caspi

    Ben-Gurion University of the Negev, Israel

    1 publications · 15 citations

    1

    h-index

  5. YH
    Yong-Soo Ha

    Pukyong National University, South Korea

    1 publications · 12 citations

    0

    h-index

1–5 of 4

Institutions

2

  1. Ben-Gurion University of the Negev

    Beersheba, Israel

    2 h-index

    5 publications

    95 citations

  2. Christian-Albrechts-Universität zu Kiel

    Kiel, Germany

    2 h-index

    2 publications

    40 citations

  3. Korea Institute of Ocean Science and Technology

    Busan, South Korea

    1 publications

    12 citations

  4. Pukyong National University

    Busan, South Korea

    1 publications

    12 citations

  5. Kyungnam University

    Changwon, South Korea

    1 publications

    12 citations

  6. Korea Maritime and Ocean University

    Busan, South Korea

    1 publications

    12 citations

  7. Korea Maritime Institute

    Seoul, South Korea

    1 publications

    12 citations

1–7 of 2

Venues

  1. Bioinformatics

    2 publications · 40 citations

    2

    h-index

  2. Advances in Engineering Software

    1 publications · 12 citations

1–2