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Items: 10

1.

Probabilistic error correction for RNA sequencing.

Le HS, Schulz MH, McCauley BM, Hinman VF, Bar-Joseph Z.

Nucleic Acids Res. 2013 May 1;41(10):e109. doi: 10.1093/nar/gkt215. Epub 2013 Apr 4.

2.

Overview of available methods for diverse RNA-Seq data analyses.

Chen G, Wang C, Shi T.

Sci China Life Sci. 2011 Dec;54(12):1121-8. doi: 10.1007/s11427-011-4255-x. Epub 2012 Jan 7. Review.

PMID:
22227904
3.

[RNA-Seq and its applications: a new technology for transcriptomics].

Qi YX, Liu YB, Rong WH.

Yi Chuan. 2011 Nov;33(11):1191-202. Review. Chinese.

PMID:
22120074
4.

Next-generation transcriptome assembly.

Martin JA, Wang Z.

Nat Rev Genet. 2011 Sep 7;12(10):671-82. doi: 10.1038/nrg3068. Review.

PMID:
21897427
5.

Transcriptomics in the RNA-seq era.

McGettigan PA.

Curr Opin Chem Biol. 2013 Feb;17(1):4-11. doi: 10.1016/j.cbpa.2012.12.008. Epub 2013 Jan 2. Review.

PMID:
23290152
6.

Uncovering the complexity of transcriptomes with RNA-Seq.

Costa V, Angelini C, De Feis I, Ciccodicola A.

J Biomed Biotechnol. 2010;2010:853916. doi: 10.1155/2010/853916. Epub 2010 Jun 27. Review.

7.

Designing a transcriptome next-generation sequencing project for a nonmodel plant species.

Strickler SR, Bombarely A, Mueller LA.

Am J Bot. 2012 Feb;99(2):257-66. doi: 10.3732/ajb.1100292. Epub 2012 Jan 19. Review.

8.

Characterizing and annotating the genome using RNA-seq data.

Chen G, Shi T, Shi L.

Sci China Life Sci. 2016 Jun 13. [Epub ahead of print] Review.

PMID:
27294835
9.

RNA-Seq data: a goldmine for organelle research.

Smith DR.

Brief Funct Genomics. 2013 Sep;12(5):454-6. doi: 10.1093/bfgp/els066. Epub 2013 Jan 18. Review.

PMID:
23334532
10.

Prospects for analyzing ancient RNA in preserved materials.

Guy PL.

Wiley Interdiscip Rev RNA. 2014 Jan-Feb;5(1):87-94. doi: 10.1002/wrna.1199. Epub 2013 Nov 7. Review.

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