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

KNOWLEDGE DRIVEN BINNING AND PHEWAS ANALYSIS IN MARSHFIELD PERSONALIZED MEDICINE RESEARCH PROJECT USING BIOBIN.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2016

Basile Anna O, Wallace John R, Peissig Peggy, McCarty Catherine A, Brilliant Murray, Ritchie Marylyn D

Abstract excerpt

Next-generation sequencing technology has presented an opportunity for rare variant discovery and association of these variants with disease. To address the challenges of rare variant analysis, multiple statistical methods have been developed for combining rare variants to increase statistical power for detecting associations. BioBin is an automated tool that expands on collapsing/binning methods by performing...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Genetic

Share to Knowledge Bases

Share to Models, Statistical

Share to Pharmacogenetics

Share to Precision Medicine

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 26776191
PMCID: PMC4824557

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

KNOWLEDGE DRIVEN BINNING AND PHEWAS ANALYSIS IN MARSHFIELD PERSONALIZED MEDICINE RESEARCH PROJECT USING BIOBIN.PMID 26776191Read ↗

Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants.Semantic proximity Read ↗

BioBin: a bioinformatics tool for automating the binning of rare variants using publicly available biological knowledge.Semantic proximity Read ↗

Using BioBin to explore rare variant population stratification.Semantic proximity Read ↗

Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank.Semantic proximity Read ↗

Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.Semantic proximity Read ↗

UK Biobank Whole-Exome Sequence Binary Phenome Analysis with Robust Region-Based Rare-Variant Test.Semantic proximity Read ↗

Uncovering hidden gene-trait patterns through biclustering analysis of the UK BiobankSemantic proximity Read ↗

Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using Biofilter, and gene-environment interactions using the PhenX Toolkit.Semantic proximity Read ↗

Genome-wide association studies using binned genotypes.Semantic proximity Read ↗

Statistical Binning for Barcoded Reads Improves Downstream Analyses.Semantic proximity Read ↗

Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the Phenx Toolkit*.Semantic proximity Read ↗

An informatics approach to analyzing the incidentalome.Semantic proximity Read ↗

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