Literature DB >> 21498551

Design and validation issues in RNA-seq experiments.

Zhide Fang1, Xiangqin Cui.   

Abstract

The next-generation sequencing technologies are being rapidly applied in biological research. Tens of millions of short sequences generated in a single experiment provide us enormous information on genome composition, genetic variants, gene expression levels and protein binding sites depending on the applications. Various methods are being developed for analyzing the data generated by these technologies. However, the relevant experimental design issues have rarely been discussed. In this review, we use RNA-seq as an example to bring this topic into focus and to discuss experimental design and validation issues pertaining to next-generation sequencing in the quantification of transcripts.

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Year:  2011        PMID: 21498551     DOI: 10.1093/bib/bbr004

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  101 in total

Review 1.  RNA-Seq and human complex diseases: recent accomplishments and future perspectives.

Authors:  Valerio Costa; Marianna Aprile; Roberta Esposito; Alfredo Ciccodicola
Journal:  Eur J Hum Genet       Date:  2012-06-27       Impact factor: 4.246

2.  RNA-seq differential expression studies: more sequence or more replication?

Authors:  Yuwen Liu; Jie Zhou; Kevin P White
Journal:  Bioinformatics       Date:  2013-12-06       Impact factor: 6.937

3.  Transcriptional profiling by RNA-Seq of peri-attachment porcine embryos generated by a variety of assisted reproductive technologies.

Authors:  S Clay Isom; John R Stevens; Rongfeng Li; William G Spollen; Lindsay Cox; Lee D Spate; Clifton N Murphy; Randall S Prather
Journal:  Physiol Genomics       Date:  2013-05-21       Impact factor: 3.107

4.  Polyester: simulating RNA-seq datasets with differential transcript expression.

Authors:  Alyssa C Frazee; Andrew E Jaffe; Ben Langmead; Jeffrey T Leek
Journal:  Bioinformatics       Date:  2015-04-28       Impact factor: 6.937

5.  rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq data.

Authors:  Shihao Shen; Juw Won Park; Zhi-xiang Lu; Lan Lin; Michael D Henry; Ying Nian Wu; Qing Zhou; Yi Xing
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-05       Impact factor: 11.205

6.  Genome-wide characterization and expression analysis of common bean bHLH transcription factors in response to excess salt concentration.

Authors:  Musa Kavas; Mehmet Cengiz Baloğlu; Elif Seda Atabay; Ummugulsum Tanman Ziplar; Hayriye Yıldız Daşgan; Turgay Ünver
Journal:  Mol Genet Genomics       Date:  2015-07-21       Impact factor: 3.291

7.  Comparison of library construction kits for mRNA sequencing in the Illumina platform.

Authors:  Yong-Soo Park; Songmi Kim; Dong-Guk Park; Dong Hee Kim; Kyeong-Wook Yoon; Wonseok Shin; Kyudong Han
Journal:  Genes Genomics       Date:  2019-07-26       Impact factor: 1.839

8.  Simulation, power evaluation and sample size recommendation for single-cell RNA-seq.

Authors:  Kenong Su; Zhijin Wu; Hao Wu
Journal:  Bioinformatics       Date:  2020-12-08       Impact factor: 6.937

9.  Single-cell EMT-related transcriptional analysis revealed intra-cluster heterogeneity of tumor cell clusters in epithelial ovarian cancer ascites.

Authors:  Tongtong Kan; Wei Wang; Philip P Ip; Shengtao Zhou; Alice S Wong; Xin Wang; Mengsu Yang
Journal:  Oncogene       Date:  2020-04-13       Impact factor: 9.867

10.  Minority stress and leukocyte gene expression in sexual minority men living with treated HIV infection.

Authors:  Annesa Flentje; Kord M Kober; Adam W Carrico; Torsten B Neilands; Elena Flowers; Nicholas C Heck; Bradley E Aouizerat
Journal:  Brain Behav Immun       Date:  2018-03-13       Impact factor: 7.217

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