ArticleBioData mining2013
Genomic analyses with biofilter 2.0: knowledge driven filtering, annotation, and model development.
Article in BioData mining, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Eras of bioinformatics technologies from command-line interfaces to artificial intelligence (AI) chatbots.Briefings in bioinformatics · 2026Review
- Turning heterogeneity of statistical epistasis networks to an advantage.Briefings in bioinformatics · 2026Article
- Integrated exposomic analysis of lipid phenotypes: Leveraging GE.db in environment by environment interaction studies.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
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- CLIN_SKAT: an R package to conduct association analysis using functionally relevant variants.BMC bioinformatics · 2022Article
- A systematic analysis of gene-gene interaction in multiple sclerosis.BMC medical genomics · 2022Article
- A pharmacogenetic interaction analysis of bevacizumab with paclitaxel in advanced breast cancer patients.NPJ breast cancer · 2022Article
- Interpretable network-guided epistasis detection.GigaScience · 2022Article
- Investigation of gene-gene interactions in cardiac traits and serum fatty acid levels in the LURIC Health Study.PloS one · 2020Article
- Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS.Human genetics · 2018Article
- The search for gene-gene interactions in genome-wide association studies: challenges in abundance of methods, practical considerations, and biological interpretation.Annals of translational medicine · 2018Article
- Rare variants in drug target genes contributing to complex diseases, phenome-wide.Scientific reports · 2018Article
- Novel features and enhancements in BioBin, a tool for the biologically inspired binning and association analysis of rare variants.Bioinformatics (Oxford, England) · 2018Article
- Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2018Article
- PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies.Nature communications · 2017Article
- Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases.American journal of epidemiology · 2017Article
- Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions.American journal of epidemiology · 2017Article
- Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.Human genetics · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe ever-growing wealth of biological information available through multiple comprehensive database repositories can be leveraged for advanced analysis of data. We have now extensively revised and updated the multi-purpose software tool Biofilter that allows researchers to annotate and/or filter data as well as generate gene-gene interaction models based on existing biological knowledge. Biofilter now has the Library of Knowledge Integration (LOKI), for accessing and integrating existing comprehensive database information, including more flexibility for how ambiguity of gene identifiers are handled. We have also updated the way importance scores for interaction models are generated. In addition, Biofilter 2.0 now works with a range of types and formats of data, including single nucleotide polymorphism (SNP) identifiers, rare variant identifiers, base pair positions, gene symbols, genetic regions, and copy number variant (CNV) location information.
resultsBiofilter provides a convenient single interface for accessing multiple publicly available human genetic data sources that have been compiled in the supporting database of LOKI. Information within LOKI includes genomic locations of SNPs and genes, as well as known relationships among genes and proteins such as interaction pairs, pathways and ontological categories.Via Biofilter 2.0 researchers can:• Annotate genomic location or region based data, such as results from association studies, or CNV analyses, with relevant biological knowledge for deeper interpretation• Filter genomic location or region based data on biological criteria, such as filtering a series SNPs to retain only SNPs present in specific genes within specific pathways of interest• Generate Predictive Models for gene-gene, SNP-SNP, or CNV-CNV interactions based on biological information, with priority for models to be tested based on biological relevance, thus narrowing the search space and reducing multiple hypothesis-testing.
conclusionsBiofilter is a software tool that provides a flexible way to use the ever-expanding expert biological knowledge that exists to direct filtering, annotation, and complex predictive model development for elucidating the etiology of complex phenotypic outcomes.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.