Cited by 678Cancer-related molecular mechanisms researchGenomics and Phylogenetic StudiesChromosomal and Genetic Variations

NONCODE 2016: an informative and valuable data source of long non-coding RNAs

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Zhao, Yi, Li, Hui, Fang, Shuangsang, Kang, Yue, wu, Wei, Hao, Yajing, Li, Ziyang, Bu, Dechao +3 more·2016·Nucleic Acids Research

Abstract

NONCODE (http://www.bioinfo.org/noncode/) is an interactive database that aims to present the most complete collection and annotation of non-coding RNAs, especially long non-coding RNAs (lncRNAs). The recently reduced cost of RNA sequencing has produced an explosion of newly identified data. Revolutionary third-generation sequencing methods have also contributed to more accurate annotations. Accumulative experimental data also provides more comprehensive knowledge of lncRNA functions. In this update, NONCODE has added six new species, bringing the total to 16 species altogether. The lncRNAs in NONCODE have increased from 210 831 to 527,336. For human and mouse, the lncRNA numbers are 167,150 and 130,558, respectively. NONCODE 2016 has also introduced three important new features: (i) conservation annotation; (ii) the relationships between lncRNAs and diseases; and (iii) an interface to choose high-quality datasets through predicted scores, literature support and long-read sequencing method support. NONCODE is also accessible through http://www.noncode.org/.

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  • RNA-seq quantifies the expression of over 70 000 non-coding RNAs not usually measured with microarrays.

    “One of the major benefits of RNA-seq is that it quantifies the expression of the over 70 000 non-coding RNAs not usually measured with microarrays [1]”

    From Gene co-expression analysis for functional classification and gene–disease predictions (2017) · cites this paper as [1]

    The Introduction says RNA sequencing has led to the identification of many long non-coding RNAs, and Data Collection and Processing describes expression profiles for them (page numbers unavailable). The paper does not say RNA-seq quantifies the expression of over 70,000 non-coding RNAs or compare its coverage with microarrays; its database counts are not counts of RNAs whose expression RNA-seq quantified. (LLM, conf=0.82)

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Authors
Zhao, Y., Li, H., Fang, S., Kang, Y., wu, W., Hao, Y., Li, Z., Bu, D., Sun, N., Zhang, M. Q., & Chen, R.
Affiliations
  • Tsinghua University (CN)
  • Chinese Academy of Sciences (CN)
Corresponding author
Chen, Runsheng
Venue
Nucleic Acids Research
Published
2015-11-19
Volume
44
Issue
D1
Pages
D203-D208
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W2174181728
Cited by
643
References
47
Citations by year
2026: 15 · 2025: 22 · 2024: 37 · 2023: 44 · 2022: 50 · 2021: 95 · 2020: 77 · 2019: 75 · 2018: 99 · 2017: 76 · 2016: 51
FWCI
25.24
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • National Natural Science Foundation of China (31371320, 31401119, 91229120)
  • Major Research Plan
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
Keywords
long non-coding RNA, lncRNA annotation, lncRNA conservation, lncRNA function, RNA sequencing data, long-read sequencing, species expansion
MeSH terms
Animals, Base Sequence, Cattle, Disease, Humans, Conserved Sequence, Databases, Nucleic Acid, Mice, Rats, Molecular Sequence Annotation, RNA, Long Noncoding

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