Literature DB >> 27659901

High-quality reference transcript datasets hold the key to transcript-specific RNA-sequencing analysis in plants.

John W S Brown1,2, Cristiane P G Calixto1, Runxuan Zhang3.   

Abstract

525 I. 525 II. 526 III. 527 IV. 527 V. 529 VI. 529 529 References 529
SUMMARY: Re-programming of the transcriptome involves both transcription and alternative splicing (AS). Some genes are regulated only at the AS level with no change in expression at the gene level. AS data must be incorporated as an essential aspect of the regulation of gene expression. RNA-sequencing (RNA-seq) can deliver both transcriptional and AS information, but accurate methods to analyse the added complexity in RNA-seq data are needed. The construction of a comprehensive reference transcript dataset (RTD) for a specific plant species, variety or accession, from all available sequence data, will immediately allow more robust analysis of RNA-seq data. RTDs will continually evolve and improve, a process that will be more efficient if resources across a community are shared and pooled.
© 2016 The Authors. New Phytologist © 2016 New Phytologist Trust.

Entities:  

Keywords:  Arabidopsis reference transcript dataset (AtRTD2); RNA-sequencing; Salmon; alternative splicing; gene expression; reference transcript dataset (RTD)

Mesh:

Substances:

Year:  2016        PMID: 27659901     DOI: 10.1111/nph.14208

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  15 in total

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8.  A high quality Arabidopsis transcriptome for accurate transcript-level analysis of alternative splicing.

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Journal:  BMC Genomics       Date:  2019-12-11       Impact factor: 3.969

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