COCOA 2.8.0 – Coordinate Covariation Analysis

COCOA 2.8.0

:: DESCRIPTION

COCOA is a method for understanding epigenetic variation among samples. COCOA can be used with epigenetic data that includes genomic coordinates and an epigenetic signal, such as DNA methylation and chromatin accessibility data.

::DEVELOPER

Sheffield lab of computational biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX / Windows
  • R
  • BioConductor

:: DOWNLOAD

COCOA

:: MORE INFORMATION

Citation

Lawson JT, Smith JP, Bekiranov S, Garrett-Bakelman FE, Sheffield NC.
COCOA: coordinate covariation analysis of epigenetic heterogeneity.
Genome Biol. 2020 Sep 7;21(1):240. doi: 10.1186/s13059-020-02139-4. PMID: 32894181; PMCID: PMC7487606.

BioCocoa 2.2.2 – Cocoa Framework for Bioinformatics

BioCocoa 2.2.2

:: DESCRIPTION

BioCocoa is an open source Cocoa framework for bioinformatics written in Objective-C. We intend to provide Cocoa programmers with a full suite of tools for handling and manipulating biological sequences. Cocoa is a great framework for rapid application development and it is therefore often used to create innovative bioscientific apps. To speed up development even more, BioCocoa wants to offer reusable Cocoa classes that are specific for molecular biology and biofinformatics. At this time, BioCocoa offers model classes for biological sequences, controller classes for alignment, sequence manipulation and I/O, interfacing with ENTREZ and view classes that let you easily display and work with sequences in your own applications.

::DEVELOPER

BioCocoa Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

BioCocoa

:: MORE INFORMATION