246 related articles for article (PubMed ID: 30848784)
1. G2P: a Genome-Wide-Association-Study simulation tool for genotype simulation, phenotype simulation and power evaluation.
Tang Y; Liu X
Bioinformatics; 2019 Oct; 35(19):3852-3854. PubMed ID: 30848784
[TBL] [Abstract][Full Text] [Related]
2. iPat: intelligent prediction and association tool for genomic research.
Chen CJ; Zhang Z
Bioinformatics; 2018 Jun; 34(11):1925-1927. PubMed ID: 29342241
[TBL] [Abstract][Full Text] [Related]
3. Gimpute: an efficient genetic data imputation pipeline.
Chen J; Lippold D; Frank J; Rayner W; Meyer-Lindenberg A; Schwarz E
Bioinformatics; 2019 Apr; 35(8):1433-1435. PubMed ID: 30239591
[TBL] [Abstract][Full Text] [Related]
4. GWAlpha: genome-wide estimation of additive effects (alpha) based on trait quantile distribution from pool-sequencing experiments.
Fournier-Level A; Robin C; Balding DJ
Bioinformatics; 2017 Apr; 33(8):1246-1247. PubMed ID: 28003266
[TBL] [Abstract][Full Text] [Related]
5. HAPPI GWAS: Holistic Analysis with Pre- and Post-Integration GWAS.
Slaten ML; Chan YO; Shrestha V; Lipka AE; Angelovici R
Bioinformatics; 2020 Nov; 36(17):4655-4657. PubMed ID: 32579187
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. GenCoF: a graphical user interface to rapidly remove human genome contaminants from metagenomic datasets.
Czajkowski MD; Vance DP; Frese SA; Casaburi G
Bioinformatics; 2019 Jul; 35(13):2318-2319. PubMed ID: 30475995
[TBL] [Abstract][Full Text] [Related]
8. Efficient multivariate analysis algorithms for longitudinal genome-wide association studies.
Ning C; Wang D; Zhou L; Wei J; Liu Y; Kang H; Zhang S; Zhou X; Xu S; Liu JF
Bioinformatics; 2019 Dec; 35(23):4879-4885. PubMed ID: 31070732
[TBL] [Abstract][Full Text] [Related]
9. simGWAS: a fast method for simulation of large scale case-control GWAS summary statistics.
Fortune MD; Wallace C
Bioinformatics; 2019 Jun; 35(11):1901-1906. PubMed ID: 30371734
[TBL] [Abstract][Full Text] [Related]
10. Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary data.
Guo B; Wu B
Bioinformatics; 2019 Apr; 35(8):1366-1372. PubMed ID: 30239606
[TBL] [Abstract][Full Text] [Related]
11. tstrait: a quantitative trait simulator for ancestral recombination graphs.
Tagami D; Bisschop G; Kelleher J
Bioinformatics; 2024 Jun; 40(6):. PubMed ID: 38796683
[TBL] [Abstract][Full Text] [Related]
12. PhenotypeSimulator: A comprehensive framework for simulating multi-trait, multi-locus genotype to phenotype relationships.
Meyer HV; Birney E
Bioinformatics; 2018 Sep; 34(17):2951-2956. PubMed ID: 29617944
[TBL] [Abstract][Full Text] [Related]
13. vcf2gwas: Python API for comprehensive GWAS analysis using GEMMA.
Vogt F; Shirsekar G; Weigel D
Bioinformatics; 2022 Jan; 38(3):839-840. PubMed ID: 34636840
[TBL] [Abstract][Full Text] [Related]
14. GeneEvolve: a fast and memory efficient forward-time simulator of realistic whole-genome sequence and SNP data.
Tahmasbi R; Keller MC
Bioinformatics; 2017 Jan; 33(2):294-296. PubMed ID: 27659450
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Drug Targetor: a web interface to investigate the human druggome for over 500 phenotypes.
Gaspar HA; Hübel C; Breen G
Bioinformatics; 2019 Jul; 35(14):2515-2517. PubMed ID: 30517594
[TBL] [Abstract][Full Text] [Related]
17. EpiGEN: an epistasis simulation pipeline.
Blumenthal DB; Viola L; List M; Baumbach J; Tieri P; Kacprowski T
Bioinformatics; 2020 Dec; 36(19):4957-4959. PubMed ID: 32289146
[TBL] [Abstract][Full Text] [Related]
18. genipe: an automated genome-wide imputation pipeline with automatic reporting and statistical tools.
Lemieux Perreault LP; Legault MA; Asselin G; Dubé MP
Bioinformatics; 2016 Dec; 32(23):3661-3663. PubMed ID: 27497439
[TBL] [Abstract][Full Text] [Related]
19. HiGwas: how to compute longitudinal GWAS data in population designs.
Wang Z; Wang N; Wang Z; Jiang L; Wang Y; Li J; Wu R
Bioinformatics; 2020 Aug; 36(14):4222-4224. PubMed ID: 32502244
[TBL] [Abstract][Full Text] [Related]
20. Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy.
Dai M; Wan X; Peng H; Wang Y; Liu Y; Liu J; Xu Z; Yang C
Bioinformatics; 2019 May; 35(10):1729-1736. PubMed ID: 30307540
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]