================================================================================ MOSAIK 2.2 Release Distribution Documentation 2013-09-20 Wan-Ping Lee & Michael Stromberg Marth Lab, Boston College Biology Department ================================================================================ News: Version 2.2 is about four-fold faster than previous by improving the Smith- Waterman (SW) strategy and using SIMD SW [1]. This is also the version that we use on 1000 Genomes Project [2] Phase-III datasets. Overview: MOSAIK is a stable, sensitive and open-source program for mapping second and third-generation sequencing reads to a reference genome. Uniquely among current mapping tools, MOSAIK can align reads generated by all the major sequencing technologies, including Illumina, Applied Biosystems SOLiD, Roche 454, Ion Torrent and Pacific BioSciences SMRT. Citation: http://arxiv.org/abs/1309.1149 We ask that you cite this paper if you use MOSAIK in work that leads to publication. Obtaining: To download MOSAIK, please use git to download the most recent development tree. % git clone git://github.com/wanpinglee/MOSAIK.git Or, download it from google code webpage: https://code.google.com/p/mosaik-aligner/downloads/list If you encounter issues with the development HEAD, or simply wish to obtain the most recent stable revision (2.2.3) then use: % git checkout 915f6feca4d321a79c29de34f6512f92b751b457 Compilation: MOSAIK requires g++ and the standard C and C++ development libraries. Just enter the src directory, glance at the README file, and type "make" Running the demo: To see a full list of the available command line options, enter the bin directory and run any of the program without any extra parameters. Included in this release is an Illumina data set featuring reads E.Coli. To test MOSAIK with this data set, just enter the demo directory and type Build, and Align to run the appropriate scripts. example: > cd demo > ./Build.sh > ./Align.sh The resulting bam file (read.mka.bam) will be found in the demo/fastq directory. References: [1]: https://github.com/mengyao/Complete-Striped-Smith-Waterman-Library [2]: http://www.1000genomes.org/