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La Contra Ola

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The detection of somatic point mutations is a key component of cancer genomic research, which has been rapidly developing since next-generation sequencing (NGS) technology revealed its potential for describing genetic alterations in cancer. We present MuSE, a novel approach to mutation calling based on the F81 Markov substitution model for molecular evolution nike air max penny mens
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Source File: https://github.com/danielfan/MuSE

Linux Binary File: MuSEv1.0rc_b michael jordan wearing nike air flight one chicago

After downloading the source file, for Unix-like operating systems please type the following commands sequentially in the command line to generate the executable:

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MuSE is comprised of two steps, which requires

The first step, ‘MuSE call’, takes as input (1) and (2). The BAM files require aligning all the sequence reads against the reference genome using the Burrows-Wheeler alignment tool (BWA), with either the backtrack or the maximal exact matches (MEM) algorithm nike blazer homme bleu ciel prices
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To speed up ‘MuSE call’, we recommend splitting the WGS data into small blocks (<50Mb) by using the provided option either ‘-r’ or ‘-l’, and concatenating all the output files by the Linux command CAT.

The second step, ‘MuSE sump’, takes as input the output file from ‘MuSE call’ and (3). We provide two options for building the sample-specific error model. One is applicable to WES data (option ‘-E’), and the other to WGS data (option ‘-G’).

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To deploy artifacts using the Maven client, you first need to declare your Bintray credentials in the settings.xml file using your API key as your password (not your Bintray login password).

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To resolve Maven artifacts from your Maven repository in Bintray use the following snippet in your Gradle configuration:

To deploy artifacts using Gradle you need to use the Gradle Bintray Plugin. For detailed instructions, please refer to the Gradle Bintray Plugin readme file on GitHub.

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To upload a file directly use the following command:

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