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Open Bioinformatics Foundation: Biopython: Python language toolkit Cross-platform: Biopython [2] Open Bioinformatics Foundation: BioRuby: Ruby language toolkit Linux, macOS, Windows [3] GPL v2 or Ruby: Open Bioinformatics Foundation: BLAST: Algorithm and program for comparing primary biological sequence information, including DNA and protein ...
Project Gutenberg (PG) is a volunteer effort to digitize and archive cultural works, as well as to "encourage the creation and distribution of eBooks." [2] It was founded in 1971 by American writer Michael S. Hart and is the oldest digital library. [3] Most of the items in its collection are the full texts of books or individual stories in the ...
The Biopython project is an open-source collection of non-commercial Python tools for computational biology and bioinformatics, created by an international association of developers. [ 1 ] [ 4 ] [ 5 ] It contains classes to represent biological sequences and sequence annotations , and it is able to read and write to a variety of file formats.
Project Gutenberg Australia, abbreviated as PGA, is an Internet site which was founded in 2001 by Colin Choat. It is a sister site of Project Gutenberg , though there is no formal relationship between the two organizations.
Bioinformatics is the name given to these mathematical and computing approaches used to glean understanding of biological processes. Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning DNA and protein sequences to compare them, and creating and viewing 3-D models of protein structures.
Project Gutenberg Canada, also known as Project Gutenburg of Canada, is a Canadian digital library founded July 1, 2007 by Dr. Mark Akrigg. [1] The website allows Canadian residents to create e-texts and download books, including those that are otherwise not in the public domain in other countries.
Clustering is central to much data-driven bioinformatics research and serves as a powerful computational method whereby means of hierarchical, centroid-based, distribution-based, density-based, and self-organizing maps classification, has long been studied and used in classical machine learning settings.
BioPHP is a collection of open-source PHP code, with classes for DNA and protein sequence analysis, alignment, database parsing, and other bioinformatics tools. BioRuby is released under the GNU GPL version 2 licence [1] and is one of a number of Bio* projects, designed to reduce code duplication. [2]