Showing 4 open source projects for "path-setting"

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  • 1

    openSEQ

    NGS compute distro proloaded with pipeline analysis software

    ...HOWTO: 1) Set VM network settings to a bridged adapter type. 2) Load VM to client 3) From host: $ ssh -X ubuntu@<foobar> 'firefox && butterfly.server.py --unsecure' --- passwd = 616287xx 5) or ssh into host with X forwarding, and type runme This will launch an X-session of Firefox on the client, which will then be forwarded to the host. The first homepage tab links to our pipeline constructer. The second homepage tab links to a xterm session on the client. Software included (location - name): path - biobambam path - bwa path - bowtie2 path - bowtie path - cufflinks path - bcftools path - tophat path - scalpel path - samtools path - sra-toolkit path - bamtools path - delly path - delly-parallel path - picard-tools path - fastahack path - twoBitToFa ~/prog/java/ - mutect ~/prog/python/ - platypus ~/prog/java/ - gatk
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  • 2
    Bioinformatic tools for analyzing an orfeome using translated ORFs and compares each ORF to the provided Orfeome/Proteome. Our script uses NCBI BLAST run locally and MySQL as the main engines in a new and interisting way. It is designed specifically for Poxvirus genomes, and provides the VACV-COP nomenclature and Cowpox Ortholog groups per each ORF. The BLAST stats are generated when compared to the Proteome you provide. It can be easily adapted for other genomes.
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  • 3

    segment

    Solve the Viterbi algorithm in a data stream

    It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data.
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  • 4

    OptimizeSNP

    Selects SNPs and samples with known genotypes for microarray design

    Program apply linear programming to minimize the number of microarrays and hybridization experiments that need to be undertaken in order to cover most of the predicted expressed SNPs.Dependencies:. 1) mampl.exe must be in system PATH 2) CPLEX 12.2 must be installed. cplexamp.exe must be in system PATH mampl.exe can be obtained from any program containing AMPL. I obtained AMPL from trial version of MOSEK at http://www.mosek.com/. CPLEX 12.0 can be obtained from http://www-01.ibm.com/software/integration/optimization/cplex-optimizer/. A free acadamic license can be obtained by filling out IBM academic initiative application.
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