chipexo | This is a standalone version of GeneTrack
kandi X-RAY | chipexo Summary
kandi X-RAY | chipexo Summary
chipexo is a Python library typically used in Healthcare, Pharma, Life Sciences applications. chipexo has no bugs, it has no vulnerabilities and it has low support. However chipexo build file is not available. You can download it from GitHub.
This is a standalone version of GeneTrack. It was written by a Penn State freshman student Pindi Albert during an internship with the Pugh lab at Penn State. It implements the peak calling algorithm as described in the paper "GeneTrack--a genomic data processing and visualization framework" published in Bioinformatics 2008, It does not however implement the visualization interface that was described in the paper. This will print a help on usage. The input files should be in BED, GFF or the internal .idx format.
This is a standalone version of GeneTrack. It was written by a Penn State freshman student Pindi Albert during an internship with the Pugh lab at Penn State. It implements the peak calling algorithm as described in the paper "GeneTrack--a genomic data processing and visualization framework" published in Bioinformatics 2008, It does not however implement the visualization interface that was described in the paper. This will print a help on usage. The input files should be in BED, GFF or the internal .idx format.
Support
Quality
Security
License
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Support
chipexo has a low active ecosystem.
It has 10 star(s) with 4 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
chipexo has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of chipexo is current.
Quality
chipexo has no bugs reported.
Security
chipexo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
chipexo does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
chipexo releases are not available. You will need to build from source code and install.
chipexo has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed chipexo and discovered the below as its top functions. This is intended to give you an instant insight into chipexo implemented functionality, and help decide if they suit your requirements.
- Parse input_paths
- Process a file
- Return the path to the gffto index
- Autodetect format
- Convert data
- Process data from stdin
- Return the conversion functions
Get all kandi verified functions for this library.
chipexo Key Features
No Key Features are available at this moment for chipexo.
chipexo Examples and Code Snippets
No Code Snippets are available at this moment for chipexo.
Community Discussions
No Community Discussions are available at this moment for chipexo.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install chipexo
You can download it from GitHub.
You can use chipexo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use chipexo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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