PreprintCited by 54Genomics and Phylogenetic StudiesRNA Research and SplicingBioinformatics and Genomic Networks

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CHESS 3: an improved, comprehensive catalog of human genes and transcripts based on large-scale expression data, phylogenetic analysis, and protein structure

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Preprint — published as 10.1186/s13059-023-03088-4 · Paper page

Abstract

The original CHESS database of human genes was assembled from nearly 10,000 RNA sequencing experiments in 53 human body sites produced by the Genotype-Tissue Expression (GTEx) project, and then augmented with genes from other databases to yield a comprehensive collection of protein-coding and noncoding transcripts. The construction of the new CHESS 3 database employed improved transcript assembly algorithms, a new machine learning classifier, and protein structure predictions to identify genes and transcripts likely to be functional and to eliminate those that appeared more likely to represent noise. The new catalog contains 41,356 genes on the GRCh38 reference human genome, of which 19,839 are protein-coding, and a total of 158,377 transcripts. These include 14,863 novel protein-coding transcripts. The total number of transcripts is substantially smaller than earlier versions due to improved transcriptome assembly methods and to a stricter protocol for filtering out noisy transcripts. Notably, CHESS 3 contains all of the transcripts in the MANE database, and at least one transcript corresponding to the vast majority of protein-coding genes in the RefSeq and GENCODE databases. CHESS 3 has also been mapped onto the complete CHM13 human genome, which gives a more-complete gene count of 43,773 genes and 19,968 protein-coding genes. The CHESS database is available at http://ccb.jhu.edu/chess .

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Metadata

Authors
Varabyou, A., Sommer, M. J., Erdogdu, B., Shinder, I., Minkin, I., Chao, K.-H., Park, S., Heinz, J., Pockrandt, C., Shumate, A., Rincon, N., Puiu, D., Steinegger, M., Salzberg, S. L., & Pertea, M.
Affiliations
  • Johns Hopkins University (US)
  • Seoul National University (KR)
Corresponding author
  • Varabyou, Ales
  • Salzberg, Steven L.
  • Pertea, Mihaela
Venue
Genome biology
Publisher
openRxiv
Published
2022-12-22
Volume
24
Issue
1
Pages
249-249
ISSN
1465-6906 (ISSN-L)
OpenAlex
W4388022000
Cited by
54
References
1
Citations by year
2026: 14 · 2025: 23 · 2024: 13 · 2023: 4
FWCI
4.80
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Genome biology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Seoul National University Open Repository (Seoul National University) (submittedVersion)
Funders
  • National Science Foundation (1759518)
  • National Research Foundation (2021-R1C1-C102065)
  • Seoul National University
  • National Research Foundation of Korea (2021-R1C1-C102065, 2021-M3A9-I4021220, 2020M3‐A9G7‐103933, 2019R1-A6A1-A10073437, 2020M3-A9G7-103933, 2021-R1C1-C102065, and 2021-M3A9-I4021220)
  • National Institutes of Health
  • Directorate for Biological Sciences (DBI-1759518)
  • Samsung
  • National Institute of Mental Health (R01MH123567)
  • National Human Genome Research Institute (R01HG006677)
  • National Institute of General Medical Sciences (R35GM130151)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
transcriptome, RNA-seq, genome annotation, protein-coding genes, transcriptome assembly, Manes, protein structure prediction, noise reduction, human body sites
MeSH terms
Algorithms, Humans, Phylogeny, Proteins, Software, Genome, Human, Molecular Sequence Annotation

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