3,625 results found
    1. Computational and Systems Biology

    Research: Bias in the reporting of sex and age in biomedical research on mouse models

    Oscar Flórez-Vargas et al.
    A text-mining study suggests that about half of the papers reporting the results of experiments on mice do not report the sex and age of the mice.
    1. Evolutionary Biology
    2. Genetics and Genomics

    Testis single-cell RNA-seq reveals the dynamics of de novo gene transcription and germline mutational bias in Drosophila

    Evan Witt et al.
    Single-cell RNA-sequencing and germline substitutions provide novel insights into how testis is a hotspot for evolutionary innovation of genes, expression, and mutation at the single-cell level.
  1. Meta-Research: A 10-year follow-up study of sex inclusion in the biological sciences

    Nicole C Woitowich et al.
    Sex-inclusive research practices have increased in many biological disciplines over the past decade, yet critical sex-based analyses and reporting have remained stagnant in most of these disciplines.
  2. Point of View: Improving on legacy conferences by moving online

    Titipat Achakulvisut et al.
    Neuromatch was an online conference that attracted around 3000 participants and offered most of the benefits of traditional conferences.
    1. Microbiology and Infectious Disease

    Research Culture: Co-reviewing and ghostwriting by early-career researchers in the peer review of manuscripts

    Gary S McDowell et al.
    Early career researchers commonly peer review manuscripts on behalf of invited reviewers, often without receiving feedback or being named to the journal.
  3. Point of View: Four erroneous beliefs thwarting more trustworthy research

    Mark Yarborough et al.
    Strategies to improve public trust in biomedical research are being hindered by a scientific mindset that stifles interest in reform.
  4. Philosophy of Biology: Philosophical bias is the one bias that science cannot avoid

    Fredrik Andersen et al.
    Scientists should be aware of the non-empirical assumptions that influence all kinds of research.
    1. Computational and Systems Biology

    Meta-Research: Centralized scientific communities are less likely to generate replicable results

    Valentin Danchev et al.
    Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.

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