Skip to main content

Articles

8011 result(s) for 'evolutionary biology' within Genome Biology

Page 29 of 161

  1. A report on 'Genomes to Systems', the Fourth Conference of the Consortium for Post-Genome Science, Manchester, UK, 17-19 March 2008.

    Authors: Claire E Eyers and Onrapak Reamtong
    Citation: Genome Biology 2008 9:307
  2. Machine learning has demonstrated potential in analyzing large, complex biological data. In practice, however, biological information is required in addition to machine learning for successful application.

    Authors: Chunming Xu and Scott A. Jackson
    Citation: Genome Biology 2019 20:76
  3. A rapid and cost-effective approach has been developed to harvest and map the dispensable genome, that is, population-level natural sequence variation within a species that is not present in static genome asse...

    Authors: Rod A. Wing
    Citation: Genome Biology 2015 16:217
  4. To coincide with International Women's Day, Genome Biology asked several female scientists about their experience of an academic career, how they managed to balance an active research career with family life, and...

    Authors: Genome Biology
    Citation: Genome Biology 2012 13:2754
  5. Bulk DNA sequencing of multiple samples from the same tumor is becoming common, yet most methods to infer copy-number aberrations (CNAs) from this data analyze individual samples independently. We introduce HA...

    Authors: Matthew A. Myers, Brian J. Arnold, Vineet Bansal, Metin Balaban, Katelyn M. Mullen, Simone Zaccaria and Benjamin J. Raphael
    Citation: Genome Biology 2024 25:130

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 10.1
    5-year Journal Impact Factor: 16.5
    Source Normalized Impact per Paper (SNIP): 2.521
    SCImago Journal Rank (SJR): 7.197

    Speed 2023
    Submission to first editorial decision (median days): 22
    Submission to acceptance (median days): 277

    Usage 2023
    Downloads: 6,688,476
    Altmetric mentions: 12,515

Peer Review Taxonomy

This journal is participating in a pilot of NISO/STM's Working Group on Peer Review Taxonomy, to identify and standardize definitions and terminology in peer review practices in order to make the peer review process for articles and journals more transparent. Further information on the pilot is available here.

The following summary describes the peer review process for this journal:

  • Identity transparency: Single anonymized
  • Reviewer interacts with: Editor
  • Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

We welcome your feedback on this Peer Review Taxonomy Pilot. Please can you take the time to complete this short survey.