Genome Deconvolution

Genome Deconvolution is a computational method that separates individual genomic sequences from complex metagenomic mixtures by distinguishing co-occurring genetic elements based on differential abundance, sequence composition, and assembly connectivity patterns.

5

Publications

296

Citations

18

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

18

  1. BJ
    Byron J. Smith

    University of Michigan, United States

    1 publications · 21 citations

    1

    h-index

  2. DB
    Danny Barash

    Ben-Gurion University of the Negev, Israel

    1 publications · 29 citations

    1

    h-index

  3. JA
    Jacob Almagro‐Garcia

    Wellcome Sanger Institute, United Kingdom

    1 publications · 94 citations

    1

    h-index

  4. CR
    Chet Ram

    Central Institute for Arid Horticulture

    1 publications · 15 citations

    1

    h-index

  5. AR
    Adam R. Abate

    University of California, San Francisco, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 18

Venues

  1. Frontiers in Bioinformatics

    1 publications · 21 citations

    1

    h-index

  2. Bioinformatics

    1 publications · 94 citations

    1

    h-index

  3. PLoS Computational Biology

    1 publications · 137 citations

    1

    h-index

  4. Applied Microbiology and Biotechnology

    1 publications · 15 citations

    1

    h-index

  5. Origins of Life and Evolution of Biospheres

    1 publications · 29 citations

    1

    h-index

1–5