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Items: 8


easyRNASeq: a bioconductor package for processing RNA-Seq data.

Delhomme N, Padioleau I, Furlong EE, Steinmetz LM.

Bioinformatics. 2012 Oct 1;28(19):2532-3. Epub 2012 Jul 30.


A comparison of statistical methods for detecting differentially expressed genes from RNA-seq data.

Kvam VM, Liu P, Si Y.

Am J Bot. 2012 Feb;99(2):248-56. doi: 10.3732/ajb.1100340. Epub 2012 Jan 20. Review.


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.


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.


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.


Network meta-analysis using R: a review of currently available automated packages.

Neupane B, Richer D, Bonner AJ, Kibret T, Beyene J.

PLoS One. 2014 Dec 26;9(12):e115065. doi: 10.1371/journal.pone.0115065. eCollection 2014. Review. Erratum in: PLoS One. 2015;10(4):e0123364.


A review of software for analyzing molecular sequences.

Nilakanta H, Drews KL, Firrell S, Foulkes MA, Jablonski KA.

BMC Res Notes. 2014 Nov 24;7:830. doi: 10.1186/1756-0500-7-830. Review.


stepwiseCM: An R Package for Stepwise Classification of Cancer Samples Using Multiple Heterogeneous Data Sets.

Obulkasim A, van de Wiel MA.

Cancer Inform. 2014 Jan 2;13:1-11. doi: 10.4137/CIN.S13075. eCollection 2014. Review.

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