110 related articles for article (PubMed ID: 24458951)
1. The most informative spacing test effectively discovers biologically relevant outliers or multiple modes in expression.
Pawlikowska I; Wu G; Edmonson M; Liu Z; Gruber T; Zhang J; Pounds S
Bioinformatics; 2014 May; 30(10):1400-8. PubMed ID: 24458951
[TBL] [Abstract][Full Text] [Related]
2. Oasis: online analysis of small RNA deep sequencing data.
Capece V; Garcia Vizcaino JC; Vidal R; Rahman RU; Pena Centeno T; Shomroni O; Suberviola I; Fischer A; Bonn S
Bioinformatics; 2015 Jul; 31(13):2205-7. PubMed ID: 25701573
[TBL] [Abstract][Full Text] [Related]
3. PROMISE: a tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables.
Pounds S; Cheng C; Cao X; Crews KR; Plunkett W; Gandhi V; Rubnitz J; Ribeiro RC; Downing JR; Lamba J
Bioinformatics; 2009 Aug; 25(16):2013-9. PubMed ID: 19528086
[TBL] [Abstract][Full Text] [Related]
4. CC-PROMISE effectively integrates two forms of molecular data with multiple biologically related endpoints.
Cao X; Crews KR; Downing J; Lamba J; Pounds SB
BMC Bioinformatics; 2016 Oct; 17(Suppl 13):382. PubMed ID: 27766934
[TBL] [Abstract][Full Text] [Related]
5. DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq experiments.
Vrahatis AG; Balomenos P; Tsakalidis AK; Bezerianos A
Bioinformatics; 2016 Dec; 32(24):3844-3846. PubMed ID: 27542770
[TBL] [Abstract][Full Text] [Related]
6. RNASeqGUI: a GUI for analysing RNA-Seq data.
Russo F; Angelini C
Bioinformatics; 2014 Sep; 30(17):2514-6. PubMed ID: 24812338
[TBL] [Abstract][Full Text] [Related]
7. DaMiRseq-an R/Bioconductor package for data mining of RNA-Seq data: normalization, feature selection and classification.
Chiesa M; Colombo GI; Piacentini L
Bioinformatics; 2018 Apr; 34(8):1416-1418. PubMed ID: 29236969
[TBL] [Abstract][Full Text] [Related]
8. Oasis 2: improved online analysis of small RNA-seq data.
Rahman RU; Gautam A; Bethune J; Sattar A; Fiosins M; Magruder DS; Capece V; Shomroni O; Bonn S
BMC Bioinformatics; 2018 Feb; 19(1):54. PubMed ID: 29444641
[TBL] [Abstract][Full Text] [Related]
9. rSeqNP: a non-parametric approach for detecting differential expression and splicing from RNA-Seq data.
Shi Y; Chinnaiyan AM; Jiang H
Bioinformatics; 2015 Jul; 31(13):2222-4. PubMed ID: 25717189
[TBL] [Abstract][Full Text] [Related]
10. A powerful and flexible approach to the analysis of RNA sequence count data.
Zhou YH; Xia K; Wright FA
Bioinformatics; 2011 Oct; 27(19):2672-8. PubMed ID: 21810900
[TBL] [Abstract][Full Text] [Related]
11. PennDiff: detecting differential alternative splicing and transcription by RNA sequencing.
Hu Y; Lin J; Hu J; Hu G; Wang K; Zhang H; Reilly MP; Li M
Bioinformatics; 2018 Jul; 34(14):2384-2391. PubMed ID: 29474557
[TBL] [Abstract][Full Text] [Related]
12. Chimira: analysis of small RNA sequencing data and microRNA modifications.
Vitsios DM; Enright AJ
Bioinformatics; 2015 Oct; 31(20):3365-7. PubMed ID: 26093149
[TBL] [Abstract][Full Text] [Related]
13. A new approach to bias correction in RNA-Seq.
Jones DC; Ruzzo WL; Peng X; Katze MG
Bioinformatics; 2012 Apr; 28(7):921-8. PubMed ID: 22285831
[TBL] [Abstract][Full Text] [Related]
14. RNAseqViewer: visualization tool for RNA-Seq data.
Rogé X; Zhang X
Bioinformatics; 2014 Mar; 30(6):891-2. PubMed ID: 24215023
[TBL] [Abstract][Full Text] [Related]
15. SimSeq: a nonparametric approach to simulation of RNA-sequence datasets.
Benidt S; Nettleton D
Bioinformatics; 2015 Jul; 31(13):2131-40. PubMed ID: 25725090
[TBL] [Abstract][Full Text] [Related]
16. DEsingle for detecting three types of differential expression in single-cell RNA-seq data.
Miao Z; Deng K; Wang X; Zhang X
Bioinformatics; 2018 Sep; 34(18):3223-3224. PubMed ID: 29688277
[TBL] [Abstract][Full Text] [Related]
17. PRADA: pipeline for RNA sequencing data analysis.
Torres-García W; Zheng S; Sivachenko A; Vegesna R; Wang Q; Yao R; Berger MF; Weinstein JN; Getz G; Verhaak RG
Bioinformatics; 2014 Aug; 30(15):2224-6. PubMed ID: 24695405
[TBL] [Abstract][Full Text] [Related]
18. A genomic random interval model for statistical analysis of genomic lesion data.
Pounds S; Cheng C; Li S; Liu Z; Zhang J; Mullighan C
Bioinformatics; 2013 Sep; 29(17):2088-95. PubMed ID: 23842812
[TBL] [Abstract][Full Text] [Related]
19. Quantitative visualization of alternative exon expression from RNA-seq data.
Katz Y; Wang ET; Silterra J; Schwartz S; Wong B; Thorvaldsdóttir H; Robinson JT; Mesirov JP; Airoldi EM; Burge CB
Bioinformatics; 2015 Jul; 31(14):2400-2. PubMed ID: 25617416
[TBL] [Abstract][Full Text] [Related]
20. SpliceSeq: a resource for analysis and visualization of RNA-Seq data on alternative splicing and its functional impacts.
Ryan MC; Cleland J; Kim R; Wong WC; Weinstein JN
Bioinformatics; 2012 Sep; 28(18):2385-7. PubMed ID: 22820202
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
