Genome Sequencing Analysis

Genome Sequencing Analysis is a systematic computational and statistical approach that identifies, characterizes, and interprets genetic variations and genomic alterations in evolved microbial populations by comparing high-throughput sequencing data against a reference genome, thereby enabling the inference of adaptive mutations and evolutionary trajectories in the context of Adaptive Laboratory Evolution.

131

Publications

17.1K

Citations

1.4K

Authors

463

Institutions

Publications per year

2017–2026

54

Authors

1.4K

  1. EN
    Evan N. Jansen

    University of Missouri, United States

    2 publications · 60 citations

    2

    h-index

  2. DL
    Daniel Lawson

    European Bioinformatics Institute, United Kingdom

    2 publications · 60 citations

    2

    h-index

  3. AJ
    Andrew J. Rosendale

    University of Cincinnati, United States

    2 publications · 60 citations

    2

    h-index

  4. DS
    Denis S. Grouzdev

    Russian Academy of Sciences, Russia

    2 publications · 23 citations

    2

    h-index

  5. RA
    Rebecca A. Ferrer

    National Cancer Institute, United States

    2 publications · 110 citations

    2

    h-index

1–5 of 1.4K

Venues

  1. Genome Announcements

    GenomeA · 14 publications · 270 citations

    12

    h-index

  2. Frontiers in Microbiology

    6 publications · 202 citations

    6

    h-index

  3. Scientific Reports

    5 publications · 136 citations

    5

    h-index

  4. PLoS ONE

    5 publications · 155 citations

    5

    h-index

  5. BMC Genomics

    4 publications · 139 citations

    4

    h-index

1–5