hagfish | creative use of coverage plots | Genomics library

by mfiers Python Version: Current License: GPL-3.0

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

kandi X-RAY | hagfish Summary

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

Hagfish - Creative use of dotplots in NGS data analysis.

Support

Quality

Security

License

Reuse

Support

hagfish has a low active ecosystem.

It has 34 star(s) with 3 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 6 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of hagfish is current.

Quality

hagfish has 0 bugs and 0 code smells.

Security

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

hagfish code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hagfish is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

hagfish saves you 169 person hours of effort in developing the same functionality from scratch.

It has 418 lines of code, 19 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Plots bands
Set the correction
Add plot parameters to the given parser
Adds the parameters to the parser
Load a library
Load a numpy array
Add parameters to the given parser

Get all kandi verified functions for this library.

hagfish Key Features

No Key Features are available at this moment for hagfish.

hagfish Examples and Code Snippets

No Code Snippets are available at this moment for hagfish.

Community Discussions

Trending Discussions on hagfish

CSS 1em changing browser default line-height

QUESTION

CSS 1em changing browser default line-height

Asked 2017-Mar-27 at 08:48

I have a CSS file. With the line-height: 1em; property, the text looks like this:

and without that property it looks like this:

1em should be equal to what it already is, but if you look closely you can see that they are different. Why are these showing up differently?

...

ANSWER

Answered 2017-Mar-26 at 19:18

I don't see a reason for browsers to have a default line-height of 1em, as in most cases no space between two lines would simply result in bad readability. Here is what I could find from official sources:

Desktop browsers (including Firefox) use a default value of roughly 1.2, depending on the element's font-family. [MDN/line-height]

Source https://stackoverflow.com/questions/43033167

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

Vulnerabilities

No vulnerabilities reported

Install hagfish

You can download it from GitHub.
You can use hagfish 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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