Computational recognition for long non-coding RNA (lncRNA): Software and databases-Reference-Cited by-同舟云学术

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Computational recognition for long non-coding RNA (lncRNA): Software and databases

Published:2016-02-02 Issue:1 Volume:18 Page:9-27
ISSN:1467-5463
Container-title:Briefings in Bioinformatics
language:en
Short-container-title:Brief Bioinform

Author:

Yotsukura Sohiya,duVerle David,Hancock Timothy,Natsume-Kitatani Yayoi,Mamitsuka Hiroshi

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Link

http://academic.oup.com/bib/article-pdf/18/1/9/9273753/bbv114.pdf

Reference101 articles.

1. Genome mapping and expression analyses of human intronic noncoding RNAs reveal tissue-specific patterns and enrichment in genes related to regulation of transcription

2. Most “Dark Matter” Transcripts Are Associated With Known Genes

3. Response to “The Reality of Pervasive Transcription”

4. Transcribed dark matter: meaning or myth?

5. Genome-wide analysis of long noncoding RNA stability

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1. CircPCBL: Identification of Plant CircRNAs with a CNN-BiGRU-GLT Model;Plants;2023-04-14

2. Recent advances in predicting lncRNA–disease associations based on computational methods;Drug Discovery Today;2023-02

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4. Identification and functional prediction of long non-coding RNAs related to skeletal muscle development in Duroc pigs;Animal Bioscience;2022-10-01

5. An overview of long noncoding RNAs: Biology, functions, therapeutics, analysis methods, and bioinformatics tools;Cell Biochemistry and Function;2022-09-16

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