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  2. Biopython - Wikipedia

    en.wikipedia.org/wiki/Biopython

    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.

  3. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    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 ...

  4. Rosalind (education platform) - Wikipedia

    en.wikipedia.org/wiki/Rosalind_(education_platform)

    Rosalind is an educational resource and web project for learning bioinformatics through problem solving and computer programming. [1] [2] [3] Rosalind users learn bioinformatics concepts through a problem tree that builds up biological, algorithmic, and programming knowledge concurrently or learn by topics, with the topic of Alignment, Combinatorics, Computational Mass Spectrometry, Heredity ...

  5. Perl Cookbook - Wikipedia

    en.wikipedia.org/wiki/Perl_Cookbook

    The Perl Cookbook is written by Tom Christiansen and Nathan Torkington, and published by O'Reilly. The Perl Cookbook inspired the PLEAC (Programming Language Examples Alike Cookbook) website, which translated the code snippets in the Perl Cookbook into other languages: Python, Ruby, Guile, Tcl, Java, and beyond. O'Reilly went on to publish ...

  6. Machine learning in bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Machine_learning_in...

    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.

  7. Statistical coupling analysis - Wikipedia

    en.wikipedia.org/wiki/Statistical_coupling_analysis

    Statistical Coupling Analysis (SCA) is a method used in bioinformatics to study how pairs of amino acids in a protein sequence evolve together. It analyzes a multiple sequence alignment (MSA), which is a display of the sequences of many related proteins arranged to highlight similarities and differences. SCA measures how much the amino acid ...

  8. File:Non-Programmer's Tutorial for Python 3.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Non-Programmer's...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  9. Tim Peters (software engineer) - Wikipedia

    en.wikipedia.org/wiki/Tim_Peters_(software_engineer)

    He contributed the chapter on algorithms to the Python Cookbook. [12] From 2001 to 2014 he was active as a member of the Python Software Foundation's board of directors. Peters was an influential contributor to Python mailing lists. [13] He is also a highly ranked contributor to Stack Overflow, mostly for answers relating to Python. [14] [10]