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Items: 1 to 20 of 239

1.

Transcriptomic analysis of Staphylococcus aureus using microarray and advanced next-generation RNA-seq technologies.

Lei T, Becker A, Ji Y.

Methods Mol Biol. 2014;1085:213-29. doi: 10.1007/978-1-62703-664-1_13.

PMID:
24085699
2.

Genomic analysis of gene expression of Staphylococcus aureus.

Yu C, Sun J, Zheng L, Ji Y.

Methods Mol Biol. 2007;391:169-78.

PMID:
18025677
3.

RNA-Sequencing of Staphylococcus aureus Messenger RNA.

Carroll RK, Weiss A, Shaw LN.

Methods Mol Biol. 2016;1373:131-41. doi: 10.1007/7651_2014_192.

PMID:
25646612
4.

Next-generation sequencing applied to flower development: RNA-seq.

He J, Jiao Y.

Methods Mol Biol. 2014;1110:401-11. doi: 10.1007/978-1-4614-9408-9_23.

PMID:
24395272
5.

RNA-Seq: revelation of the messengers.

Van Verk MC, Hickman R, Pieterse CM, Van Wees SC.

Trends Plant Sci. 2013 Apr;18(4):175-9. doi: 10.1016/j.tplants.2013.02.001.

PMID:
23481128
6.

Transcriptome analysis using RNA-Seq.

Hoeijmakers WA, Bártfai R, Stunnenberg HG.

Methods Mol Biol. 2013;923:221-39.

PMID:
22990781
7.
8.

RNA-Seq Atlas--a reference database for gene expression profiling in normal tissue by next-generation sequencing.

Krupp M, Marquardt JU, Sahin U, Galle PR, Castle J, Teufel A.

Bioinformatics. 2012 Apr 15;28(8):1184-5. doi: 10.1093/bioinformatics/bts084.

PMID:
22345621
9.

Retinal transcriptome profiling by directional next-generation sequencing using 100 ng of total RNA.

Brooks MJ, Rajasimha HK, Swaroop A.

Methods Mol Biol. 2012;884:319-34. doi: 10.1007/978-1-61779-848-1_23.

PMID:
22688717
10.

Transcriptome analysis using next-generation sequencing.

Mutz KO, Heilkenbrinker A, Lönne M, Walter JG, Stahl F.

Curr Opin Biotechnol. 2013 Feb;24(1):22-30. doi: 10.1016/j.copbio.2012.09.004. Review.

PMID:
23020966
11.

RNA-Seq reveals differential gene expression in Staphylococcus aureus with single-nucleotide resolution.

Osmundson J, Dewell S, Darst SA.

PLoS One. 2013 Oct 7;8(10):e76572. doi: 10.1371/journal.pone.0076572.

12.

Next generation sequencing of microbial transcriptomes: challenges and opportunities.

van Vliet AH.

FEMS Microbiol Lett. 2010 Jan;302(1):1-7. doi: 10.1111/j.1574-6968.2009.01767.x. Review.

13.

SPARTA: Simple Program for Automated reference-based bacterial RNA-seq Transcriptome Analysis.

Johnson BK, Scholz MB, Teal TK, Abramovitch RB.

BMC Bioinformatics. 2016 Feb 4;17:66. doi: 10.1186/s12859-016-0923-y.

14.

High-throughput RNA-seq for allelic or locus-specific expression analysis in Arabidopsis-related species, hybrids, and allotetraploids.

Ng DW, Shi X, Nah G, Chen ZJ.

Methods Mol Biol. 2014;1112:33-48. doi: 10.1007/978-1-62703-773-0_3.

PMID:
24478006
15.

Methods for small RNA preparation for digital gene expression profiling by next-generation sequencing.

Linsen SE, Cuppen E.

Methods Mol Biol. 2012;822:205-17. doi: 10.1007/978-1-61779-427-8_14.

PMID:
22144201
16.

Transcriptional adaptations during long-term persistence of Staphylococcus aureus in the airways of a cystic fibrosis patient.

Windmüller N, Witten A, Block D, Bunk B, Spröer C, Kahl BC, Mellmann A.

Int J Med Microbiol. 2015 Jan;305(1):38-46. doi: 10.1016/j.ijmm.2014.10.005.

17.

Riboswitch discovery by combining RNA-seq and genome-wide identification of transcriptional start sites.

Rosinski-Chupin I, Soutourina O, Martin-Verstraete I.

Methods Enzymol. 2014;549:3-27. doi: 10.1016/B978-0-12-801122-5.00001-5.

PMID:
25432742
18.

High-throughput RNA sequencing in B-cell lymphomas.

Xiao W, Tran B, Staudt LM, Schmitz R.

Methods Mol Biol. 2013;971:295-312. doi: 10.1007/978-1-62703-269-8_17.

PMID:
23296971
19.

A strand-specific library preparation protocol for RNA sequencing.

Borodina T, Adjaye J, Sultan M.

Methods Enzymol. 2011;500:79-98. doi: 10.1016/B978-0-12-385118-5.00005-0.

PMID:
21943893
20.

Detection and quantification of alternative splicing variants using RNA-seq.

Bryant DW Jr, Priest HD, Mockler TC.

Methods Mol Biol. 2012;883:97-110. doi: 10.1007/978-1-61779-839-9_7.

PMID:
22589127

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