Results for "python"
Tags
Creating conda environment for python2.7
TIP: By default, environments are installed into the envs directory in your conda directory. Run conda create --help for information on specifying a different path. Use the Terminal or an Anaconda Prompt for the following steps. To create an environment: c...Tags: Creat, conda, environment, python2.7, python, Linux
2184 days ago
snakepipes: A toolkit based on snakemake and python for analysis of NGS data
snakePipes are flexible and powerful workflows built using snakemake that simplify the analysis of NGS data. DNA-mapping* ChIP-seq* RNA-seq* ATAC-seq* scRNA-seq Hi-C Whole Genome Bisulfite Seq/WGBS (*Also available in "allele-specific" mode) snakePipes can be installed via ...Tags: snakepipes, toolkit, snakemake, python, analysis, NGS
1796 days ago
- CONTIGuator is a Python script for Linux environments whose purpose is to speed-up the bacterial genome assembly process and to obtain a first insight of the genome structure using the well-known artemis comparison tool (ACT).
Tags: CONTIGuator, python, assembly, bacteria, structure
1669 days ago
Seq: A high-performance, Pythonic language for bioinformatics
Seq is a programming language for computational genomics and bioinformatics. With a Python-compatible syntax and a host of domain-specific features and optimizations, Seq makes writing high-performance genomics software as easy as writing Python code, and achieves performance comparable t...Tags: Seq, high-performance, Pythonic, language, bioinformatics, python
1619 days ago
tinycov: standalone command line utility written in python to plot coverage from a BAM file
Tinycov is a small standalone command line utility written in python to plot the coverage of a BAM file quickly. This software was inspired by Matt Edwards' genome coverage plotter. To install the stable version: pip3 install --user tinycov To install the development version: git clo...Tags: tinycov, standalone, command, line, utility, written, python, plot, coverage, BAM, file
1498 days ago
- There is a directory for each chapter of the book. Each directory contains a test.py program you can use with pytest to check that you have written the program correctly. I have included a short README to describe each exercise. If you have problems writing code (or if you wou...
Tags: python, minicodes, learn, codes, scripts
469 days ago
