The identification and characterization of novel transcripts from RNA-seq data-Reference-Cited by-同舟云学术

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The identification and characterization of novel transcripts from RNA-seq data

Published:2015-08-17 Issue:4 Volume:17 Page:678-685
ISSN:1467-5463
Container-title:Briefings in Bioinformatics
language:en
Short-container-title:Brief Bioinform

Author:

Weirick Tyler,Militello Giuseppe,Müller Raphael,John David,Dimmeler Stefanie,Uchida Shizuka

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Link

http://academic.oup.com/bib/article-pdf/17/4/678/

Reference17 articles.

1. Long Noncoding RNAs in Cardiovascular Diseases

2. Deeply Dissecting Stemness: Making Sense to Non-Coding RNAs in Stem Cells

3. Multiple evidence strands suggest that there may be as few as 19 000 human protein-coding genes

4. TopHat: discovering splice junctions with RNA-Seq

5. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

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2. Review of gene expression using microarray and RNA-seq;Rigor and Reproducibility in Genetics and Genomics;2024

3. The lncRNA Malat1 inhibits miR-15/16 to enhance cytotoxic T cell activation and memory cell formation;eLife;2023-12-21

4. The lncRNA Malat1 Inhibits miR-15/16 to Enhance Cytotoxic T Cell Activation and Memory Cell Formation;ELIFE;2023-07-20

5. Differential lncRNA/mRNA expression profiling and ceRNA network analyses in amniotic fluid from foetuses with ventricular septal defects;PeerJ;2023-02-27

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