gene_lists | List of gene lists for genomic analyses | Genomics library

by macarthur-lab Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | gene_lists Summary

gene_lists is a Python library typically used in Artificial Intelligence, Genomics applications. gene_lists has no bugs, it has no vulnerabilities and it has low support. However gene_lists build file is not available. You can download it from GitHub.

List of gene lists for genomic analyses.

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Quality

Security

License

Reuse

Support

gene_lists has a low active ecosystem.

It has 174 star(s) with 70 fork(s). There are 40 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 1 have been closed. On average issues are closed in 223 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gene_lists is current.

Quality

gene_lists has 0 bugs and 23 code smells.

Security

gene_lists has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

gene_lists code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

gene_lists 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

gene_lists releases are not available. You will need to build from source code and install.

gene_lists has no build file. You will be need to create the build yourself to build the component from source.

gene_lists saves you 210 person hours of effort in developing the same functionality from scratch.

It has 516 lines of code, 14 functions and 11 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed gene_lists and discovered the below as its top functions. This is intended to give you an instant insight into gene_lists implemented functionality, and help decide if they suit your requirements.

NAME hgnc .
Parse a drugbank XML file .
Return a dictionary of the gene_taurus .
Parse hgnc file .
Parse gene data into a dictionary .
Parse a nelson table .
Parse bbkhman table .
Parse a hgnc file
Parse the essential genes .
Returns a list of genes that match the filter .

Get all kandi verified functions for this library.

gene_lists Key Features

No Key Features are available at this moment for gene_lists.

gene_lists Examples and Code Snippets

No Code Snippets are available at this moment for gene_lists.

Community Discussions

Trending Discussions on gene_lists

Select cols from a list of list of data frames (with differing names)

QUESTION

Select cols from a list of list of data frames (with differing names)

Asked 2021-Jan-07 at 16:52

I have a list of lists of data frames that contain a lot of genetic variant information. Now I would like to extract some cols from these DFs. A problem is that the names of the cols differ in some DFs. Is there a recommended way to solve this issue?

...

ANSWER

Answered 2021-Jan-07 at 16:52

Not sure about your final result but one approach would be to use lapply to loop over the lists and e.g. grepl to extract the desired columns:

Source https://stackoverflow.com/questions/65614719

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install gene_lists

You can download it from GitHub.
You can use gene_lists 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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