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(PDF 133 kb) Additional file 5: R code pipeline for analysis.
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Changes in infrastructure (roads, new routes, construction codes, pipelines, risks with permafrost thawing, air, water, and soil pollution); 8.
We thank Quaid Morris for the helpful discussion about RNA binding proteins and Marcel Dinger for the probe mapping to the mouse genome and the coding potential pipeline.
ChIPseek is freely available at http://chipseek.cgu.edu.tw and all the source codes of pipelines and parsers are also available upon request.
Most of the pipeline code is written in Python, compatible with both the Enthought [29] and Anaconda [30] distribution.
A decimal Goldschmidt (DG) division architecture is presented, where the underlying algorithm is described by an optimized RTL (Register Transfer Language) code that allows pipeline realization of the two independent multiplications within DG iterations.
A source code for this pipeline can be obtained by writing to the authors.
We used Python to code the analysis pipeline.
The pipeline code is available at http://github.com/gawbul/gcat.
BDC conceived and supervised the study, designed FunPat pipeline code and wrote the manuscript.
Source code for this pipeline is available at www.molpopgen.org/data.html.html
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