Transcriptome Completeness Assessment

Transcriptome Completeness Assessment is a computational evaluation method used in transcriptomics to quantify the extent to which a reconstructed transcriptome captures the full complement of expressed transcripts in a biological sample, typically by measuring the presence and completeness of evolutionarily conserved, single-copy orthologous genes.

11

Publications

392

Citations

176

Authors

32

Institutions

Publications per year

2017–2026

7

Authors

176

  1. MC
    Mari Cleide Sogayar

    Universidade de São Paulo, Brazil

    2 publications · 172 citations

    2

    h-index

  2. AA
    Anamaria A. Camargo

    Universidade de São Paulo, Brazil

    2 publications · 172 citations

    2

    h-index

  3. BC
    Bing Chen

    Chinese Academy of Sciences, China

    1 publications · 37 citations

    1

    h-index

  4. HC
    Helaine Carrer

    Universidade de São Paulo, Brazil

    1 publications · 139 citations

    1

    h-index

  5. AV
    Andrés Venturino

    National University of Comahue, Argentina

    1 publications · 18 citations

    1

    h-index

1–5 of 176

Venues

  1. BMC Genomics

    2 publications · 38 citations

    2

    h-index

  2. Scientific Reports

    1 publications · 18 citations

    1

    h-index

  3. DNA Research

    1 publications · 18 citations

    1

    h-index

  4. BioTechniques

    1 publications · 11 citations

    1

    h-index

  5. Insect Biochemistry and Molecular Biology

    1 publications · 19 citations

    1

    h-index

1–5