# plastid **Repository Path**: biozzc/plastid ## Basic Information - **Project Name**: plastid - **Description**: Position-wise analysis of sequencing and genomics data - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-09-15 - **Last Updated**: 2024-05-30 ## Categories & Tags **Categories**: Uncategorized **Tags**: Ribo-seq ## README Welcome to `plastid`! ===================== For documentation, see `our home page `_ on `ReadtheDocs `_. To run the tests, download the `test dataset `_ and unpack it into ``plastid/test``. Introduction ------------ ``plastid`` is a Python library for genomic analysis -- in particular, high-throughput sequencing data -- with an emphasis on simplicity for users. It was written by Joshua Dunn in `Jonathan Weissman's lab `_ at `UCSF `_, initially for analysis of ribosome profiling and RNA-seq data. Versions of it have been used in several publications. ``plastid``'s intended audience includes computational and traditional biologists, software developers, and even those who are new to sequencing analysis. It is released under the BSD 3-Clause license. This package provides: #. A set of scripts that implement common sequencing analyses #. A set of classes for exploratory data anlysis. These provide simple and consistent interfaces for manipulating genomic features, read alignments, and quantitative data; and readily interface with existing scientific tools, like the SciPy stack. #. Script writing tools that make it easy to use the objects implemented in ``plastid``. #. Extensive documentation, both in source code and at `our home page `_ on `ReadtheDocs `_. Installation ------------ Bioconda ........ .. image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat-square :target: http://bioconda.github.io/recipes/plastid/README.html :alt: install with bioconda ``Bioconda`` is a channel for the conda package manager with a focus on bioinformatics software. Once you have ``Bioconda`` installed, installing ``plastid`` is as easy as running:: $ conda create -n plastid plastid $ source activate plastid This will install all of the necesary dependencies for ``plastid`` in an isolated environment. PyPI .... ``plastid`` can be installed directly from PyPI, but requires numpy, pysam, and cython to be installed first i.e.:: $ pip install numpy pysam cython $ pip install plastid If you get any runtime warnings about numpy versions having changed, or about a missing module in Pysam, or about some object being the wrong size, try regenerating the included C source files from the original Cython code. To do this type:: $ pip install --upgrade --install-option='--recythonize' plastid Links & help ------------ - `Documentation `_ - `Our github repo `_ - Subscribe to our mailing list by emailing ``listserv@listserv.ucsf.edu`` with the message *subscribe plastidinfo firstname lastname* and an empty subject line - `Test dataset `_, for development or validation of installations - `Bioconda `_