135 related articles for article (PubMed ID: 25908790)
1. MultiMeta: an R package for meta-analyzing multi-phenotype genome-wide association studies.
Vuckovic D; Gasparini P; Soranzo N; Iotchkova V
Bioinformatics; 2015 Aug; 31(16):2754-6. PubMed ID: 25908790
[TBL] [Abstract][Full Text] [Related]
2. repfdr: a tool for replicability analysis for genome-wide association studies.
Heller R; Yaacoby S; Yekutieli D
Bioinformatics; 2014 Oct; 30(20):2971-2. PubMed ID: 25012182
[TBL] [Abstract][Full Text] [Related]
3. rqt: an R package for gene-level meta-analysis.
Zhbannikov IY; Arbeev KG; Yashin AI
Bioinformatics; 2017 Oct; 33(19):3129-3130. PubMed ID: 28633423
[TBL] [Abstract][Full Text] [Related]
4. Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies.
Jiang W; Yu W
Bioinformatics; 2017 Feb; 33(4):500-507. PubMed ID: 28011772
[TBL] [Abstract][Full Text] [Related]
5. EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data.
Winkler TW; Kutalik Z; Gorski M; Lottaz C; Kronenberg F; Heid IM
Bioinformatics; 2015 Jan; 31(2):259-61. PubMed ID: 25260699
[TBL] [Abstract][Full Text] [Related]
6. lodGWAS: a software package for genome-wide association analysis of biomarkers with a limit of detection.
Vaez A; van der Most PJ; Prins BP; Snieder H; van den Heuvel E; Alizadeh BZ; Nolte IM
Bioinformatics; 2016 May; 32(10):1552-4. PubMed ID: 26803157
[TBL] [Abstract][Full Text] [Related]
7. cgmisc: enhanced genome-wide association analyses and visualization.
Kierczak M; Jabłońska J; Forsberg SK; Bianchi M; Tengvall K; Pettersson M; Scholz V; Meadows JR; Jern P; Carlborg Ö; Lindblad-Toh K
Bioinformatics; 2015 Dec; 31(23):3830-1. PubMed ID: 26249815
[TBL] [Abstract][Full Text] [Related]
8. TFBSTools: an R/bioconductor package for transcription factor binding site analysis.
Tan G; Lenhard B
Bioinformatics; 2016 May; 32(10):1555-6. PubMed ID: 26794315
[TBL] [Abstract][Full Text] [Related]
9. QCGWAS: A flexible R package for automated quality control of genome-wide association results.
van der Most PJ; Vaez A; Prins BP; Munoz ML; Snieder H; Alizadeh BZ; Nolte IM
Bioinformatics; 2014 Apr; 30(8):1185-1186. PubMed ID: 24395754
[TBL] [Abstract][Full Text] [Related]
10. Finding associated variants in genome-wide association studies on multiple traits.
Gai L; Eskin E
Bioinformatics; 2018 Jul; 34(13):i467-i474. PubMed ID: 29949991
[TBL] [Abstract][Full Text] [Related]
11. NAM: association studies in multiple populations.
Xavier A; Xu S; Muir WM; Rainey KM
Bioinformatics; 2015 Dec; 31(23):3862-4. PubMed ID: 26243017
[TBL] [Abstract][Full Text] [Related]
12. Trinculo: Bayesian and frequentist multinomial logistic regression for genome-wide association studies of multi-category phenotypes.
Jostins L; McVean G
Bioinformatics; 2016 Jun; 32(12):1898-900. PubMed ID: 26873930
[TBL] [Abstract][Full Text] [Related]
13. MAGNAMWAR: an R package for genome-wide association studies of bacterial orthologs.
Sexton CE; Smith HZ; Newell PD; Douglas AE; Chaston JM
Bioinformatics; 2018 Jun; 34(11):1951-1952. PubMed ID: 29342236
[TBL] [Abstract][Full Text] [Related]
14. Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects.
Lee CH; Eskin E; Han B
Bioinformatics; 2017 Jul; 33(14):i379-i388. PubMed ID: 28881976
[TBL] [Abstract][Full Text] [Related]
15. GWAMA: software for genome-wide association meta-analysis.
Mägi R; Morris AP
BMC Bioinformatics; 2010 May; 11():288. PubMed ID: 20509871
[TBL] [Abstract][Full Text] [Related]
16. GWAtoolbox: an R package for fast quality control and handling of genome-wide association studies meta-analysis data.
Fuchsberger C; Taliun D; Pramstaller PP; Pattaro C;
Bioinformatics; 2012 Feb; 28(3):444-5. PubMed ID: 22155946
[TBL] [Abstract][Full Text] [Related]
17. Gene-based association tests using GWAS summary statistics.
Svishcheva GR; Belonogova NM; Zorkoltseva IV; Kirichenko AV; Axenovich TI
Bioinformatics; 2019 Oct; 35(19):3701-3708. PubMed ID: 30860568
[TBL] [Abstract][Full Text] [Related]
18. adegenet 1.3-1: new tools for the analysis of genome-wide SNP data.
Jombart T; Ahmed I
Bioinformatics; 2011 Nov; 27(21):3070-1. PubMed ID: 21926124
[TBL] [Abstract][Full Text] [Related]
19. CASMAP: detection of statistically significant combinations of SNPs in association mapping.
Llinares-López F; Papaxanthos L; Roqueiro D; Bodenham D; Borgwardt K
Bioinformatics; 2019 Aug; 35(15):2680-2682. PubMed ID: 30541062
[TBL] [Abstract][Full Text] [Related]
20. VarExp: estimating variance explained by genome-wide GxE summary statistics.
Laville V; Bentley AR; Privé F; Zhu X; Gauderman J; Winkler TW; Province M; Rao DC; Aschard H
Bioinformatics; 2018 Oct; 34(19):3412-3414. PubMed ID: 29726908
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]