Title | MASS: meta-analysis of score statistics for sequencing studies. |
Publication Type | Journal Article |
Year of Publication | 2013 |
Authors | Tang, Zheng-Zheng, and Dan-Yu Lin |
Journal | Bioinformatics |
Volume | 29 |
Issue | 14 |
Pagination | 1803-5 |
Date Published | 2013 Jul 15 |
ISSN | 1367-4811 |
Keywords | Data Interpretation, Statistical, Genetic Variation, Humans, Meta-Analysis as Topic, Sequence Analysis, DNA, Software |
Abstract | SUMMARY: MASS is a command-line program to perform meta-analysis of sequencing studies by combining the score statistics from multiple studies. It implements three types of multivariate tests that encompass all commonly used association tests for rare variants. The input files can be generated from the accompanying software SCORE-Seq. This bundle of programs allows analysis of large sequencing studies in a time and memory efficient manner.AVAILABILITY AND IMPLEMENTATION: MASS and SCORE-Seq, including documentations and executables, are available at http://dlin.web.unc.edu/software/.CONTACT: lin@bios.unc.edu. |
DOI | 10.1093/bioinformatics/btt280 |
Alternate Journal | Bioinformatics |
Original Publication | MASS: Meta-analysis of score statistics for sequencing studies. |
PubMed ID | 23698861 |
PubMed Central ID | PMC3702254 |
Grant List | R01 CA082659 / CA / NCI NIH HHS / United States R37GM047845 / GM / NIGMS NIH HHS / United States R37 GM047845 / GM / NIGMS NIH HHS / United States R01CA082659 / CA / NCI NIH HHS / United States P01CA142538 / CA / NCI NIH HHS / United States P01 CA142538 / CA / NCI NIH HHS / United States |
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