Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

HAPPI GWAS: Holistic Analysis with Pre- and Post-Integration GWAS.

Bioinformatics (Oxford, England) - 1 Nov 2020

Slaten Marianne L, Chan Yen On, Shrestha Vivek, Lipka Alexander E, Angelovici Ruthie

Abstract excerpt

MOTIVATION: Advanced publicly available sequencing data from large populations have enabled informative genome-wide association studies (GWAS) that associate SNPs with phenotypic traits of interest. Many publicly available tools able to perform GWAS have been developed in response to increased demand. However, these tools lack a comprehensive pipeline that includes both pre-GWAS analysis, such as outlier removal,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genome-Wide Association Study
Share to Phenotype
Share to Polymorphism, Single Nucleotide

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Software

Source

Identifiers

PMID: 32579187
DOI: 10.1093/bioinformatics/btaa589

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

HAPPI GWAS: Holistic Analysis with Pre- and Post-Integration GWAS.PMID 32579187Read ↗

Performing post-genome-wide association study analysis: overview, challenges and recommendationsSemantic proximity Read ↗

SumStatsRehab: An Efficient Algorithm for GWAS Summary Statistics Assessment and RestorationSemantic proximity Read ↗

The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource.Semantic proximity Read ↗

GWASTools: an R/Bioconductor package for quality control and analysis of genome-wide association studies.Semantic proximity Read ↗

The NHGRI-EBI GWAS Catalog: standards for reusability, sustainability and diversitySemantic proximity Read ↗

SumStatsRehab: an efficient algorithm for GWAS summary statistics assessment and restoration.Semantic proximity Read ↗

Genomics in the post-GWAS era.Semantic proximity Read ↗

JASS: Command Line and Web interface for the joint analysis of GWAS resultsSemantic proximity Read ↗

IDEAL-GENOM: Integrated Downstream Analytical Toolkit for Genomic AnalysisSemantic proximity Read ↗

GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics.Semantic proximity Read ↗

A tutorial on conducting genome-wide association studies: Quality control and statistical analysis.Semantic proximity Read ↗

SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.