About the Software
Authors: Yi Wang, Jin Yu, James Lu, and Fuli Yu
SNPTools is a suite of tools that enables integrative SNP analysis in next generation sequencing data with large cohorts. It not only calls SNP in a population with high sensitivity and accuracy, but also employs a novel imputation engine to achieve highly accurate genotype calls in an efficient way.
Unix-like operation systems
C++ compiler and Make must be installed
Typing "make" will compile the codes and generate all the executive binary files of SNPTools.
By downloading this software you explicitly agree to the license terms below.
Current release: Version 1.0 (04-01-2011):
For accessing the most recent version or contributing code, please use this link:
Version 1.0 software at Google Project Hosting
Copyright © Baylor College of Medicine Human Genome Sequencing Center. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE
Wang, Y. etc. An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data. American Journal of Human Genetics (in review, 2012)
For additional information, contact Jin Yu and Fuli Yu.
Go to the next page for previous releases.
Draft release version 0.1 (01-26-2011):