dnapacman | biological twist on a retro title

by HussainAther Python Version: Current License: No License

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

kandi X-RAY | dnapacman Summary

dnapacman is a Python library typically used in Healthcare, Pharma, Life Sciences applications. dnapacman has no bugs, it has no vulnerabilities and it has low support. However dnapacman build file is not available. You can download it from GitHub.

In a biological twist on a retro title, Pac-Man (playing the role of ribosomal RNA) must transcribe sequences of mRNA into amino acids. You must turn as many bases into amino acids as possible. Start your amino acid chain by finding a START sequence ("AUG") and, after that, transcribe as many bases as possible. Look for the STOP Codon ("UAA", "UAG", and "UGA") to finish an amino acid. Your amino acid strings will print as you play. Good luck!.

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Quality

Security

License

Reuse

Support

dnapacman has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

dnapacman has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dnapacman is current.

Quality

dnapacman has 0 bugs and 0 code smells.

Security

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

dnapacman code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dnapacman 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

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

dnapacman 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.

dnapacman saves you 836 person hours of effort in developing the same functionality from scratch.

It has 1916 lines of code, 238 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Parse command line options
Try to load a layout
Move object to given position
Draws a circle
Get a layout by name
Load the agent module
Gets the action to move
Return a list of keys that are currently waiting on
Return the keys pressed
Run the game
Count the number of elements in the collection
Sample a distribution from a distribution
Remove the item from the heap
Normalize the counts
Render agent objects
Returns a random legal position
Generate a Configuration based on the given vector
Increment the count of the given keys
Clear the screen
Look for ghost agents
Updates distribution images
Draw expanded cells
Return a sorted list of keys
Start the graphics window
Process the given layout text
Draw a circle
Move the object to the specified location
Return n samples from a distribution

Get all kandi verified functions for this library.

dnapacman Key Features

No Key Features are available at this moment for dnapacman.

dnapacman Examples and Code Snippets

No Code Snippets are available at this moment for dnapacman.

Community Discussions

No Community Discussions are available at this moment for dnapacman.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install dnapacman

You can download it from GitHub.
You can use dnapacman 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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