Submitted by ja607 on
Title | VEXOR: an integrative environment for prioritization of functional variants in fine-mapping analysis. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Lemaçon, A, Beauparlant, CJoly, Soucy, P, Allen, J, Easton, D, Kraft, P, Simard, J, Droit, A |
Journal | Bioinformatics |
Volume | 33 |
Issue | 9 |
Pagination | 1389-1391 |
Date Published | 2017 May 01 |
ISSN | 1367-4811 |
Keywords | Genome, Human, Genome-Wide Association Study, Genomics, Humans, Polymorphism, Genetic, Sequence Analysis, DNA, Software |
Abstract | MOTIVATION: The identification of the functional variants responsible for observed genome-wide association studies (GWAS) signals is one of the most challenging tasks of the post-GWAS research era. Several tools have been developed to annotate genetic variants by their genomic location and potential functional implications. Each of these tools has its own requirements and internal logic, which forces the user to become acquainted with each interface. RESULTS: From an awareness of the amount of work needed to analyze a single locus, we have built a flexible, versatile and easy-to-use web interface designed to help in prioritizing variants and predicting their potential functional implications. This interface acts as a single-point of entry linking association results with reference tools and relevant experiments. AVAILABILITY AND IMPLEMENTATION: VEXOR is an integrative web application implemented through the Shiny framework and available at: http://romix.genome.ulaval.ca/vexor. CONTACT: arnaud.droit@crchuq.ulaval.ca. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
DOI | 10.1093/bioinformatics/btw826 |
Alternate Journal | Bioinformatics |
PubMed ID | 28453673 |
PubMed Central ID | PMC5860431 |
Grant List | R35 CA197449 / CA / NCI NIH HHS / United States U01 HG009088 / HG / NHGRI NIH HHS / United States GPH-129344 / / CIHR / Canada |