Reference-Based Identification of Long Noncoding RNAs in Plants with Strand-Specific RNA-Sequencing Data.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 5 4 2019
pubmed: 5 4 2019
medline: 3 8 2019
Statut: ppublish

Résumé

Long noncoding RNAs (lncRNAs) have been shown to play important roles in various organisms, including plant species. Several tools and pipelines have emerged for lncRNA identification, including reference-based transcriptome assembly pipelines and various coding potential calculating tools. In this protocol, we have integrated some of the most updated computational tools and described the procedures step-by-step for identifying lncRNAs from plant strand-specific RNA-sequencing datasets. We will start from clean RNA-sequencing reads, followed by reference-based transcriptome assembly, filtering of known genes, and lncRNA prediction. At the end point, users will obtain a set of predicted lncRNAs for downstream use.

Identifiants

pubmed: 30945189
doi: 10.1007/978-1-4939-9045-0_14
doi:

Substances chimiques

RNA, Long Noncoding 0
RNA, Plant 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

245-255

Auteurs

Xiao Lin (X)

School of Life Sciences and Center for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Meng Ni (M)

School of Life Sciences and Center for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Zhixia Xiao (Z)

School of Life Sciences and Center for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Ting-Fung Chan (TF)

School of Life Sciences and Center for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China. tf.chan@cuhk.edu.hk.

Hon-Ming Lam (HM)

School of Life Sciences and Center for Soybean Research of the Partner State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong, China. honming@cuhk.edu.hk.

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Classifications MeSH