Repeat-associated Error Correction

Repeat-Associated Error Correction is a computational method designed to identify and correct sequencing errors in genomic assembly by specifically addressing inaccuracies that arise in repetitive regions through context-aware realignment and consensus refinement.

8

Publications

373

Citations

29

Authors

21

Institutions

Publications per year

2017–2026

5

Authors

29

  1. MM
    Matthew Meyerson

    Dana-Farber Cancer Institute, United States

    2 publications · 81 citations

    2

    h-index

  2. MK
    Michael K. Slevin

    Dana-Farber Cancer Institute, United States

    2 publications · 81 citations

    2

    h-index

  3. HL
    Heng Li

    Harvard University, United States

    2 publications · 81 citations

    2

    h-index

  4. KT
    Kar‐Tong Tan

    Harvard University, United States

    2 publications · 81 citations

    2

    h-index

  5. JF
    Jan Fostier

    Ghent University, Belgium

    1 publications · 108 citations

    1

    h-index

1–5 of 29

Venues

  1. BMC Bioinformatics

    2 publications · 175 citations

    2

    h-index

  2. PeerJ

    1 publications · 19 citations

    1

    h-index

  3. Genome biology

    1 publications · 71 citations

    1

    h-index

  4. Briefings in Bioinformatics

    1 publications · 36 citations

    1

    h-index

  5. Molecular Microbiology

    1 publications · 52 citations

    1

    h-index

1–5