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  2. Bioinformatics - Wikipedia

    en.wikipedia.org/wiki/Bioinformatics

    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.

  3. 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 ...

  4. 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 ...

  5. Machine learning in bioinformatics - Wikipedia

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

    Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, [1] including genomics, proteomics, microarrays, systems biology, evolution, and text mining. [ 2 ] [ 3 ]

  6. Wikipedia : Wiki Ed/Reed College/Bioinformatics (Fall 2022)

    en.wikipedia.org/wiki/Wikipedia:Wiki_Ed/Reed...

    The primary objectives of this course are: 1) to understand the biological principles that underpin and are illuminated by specific genomic techniques; and 2) to be able to evaluate and utilize existing bioinformatics tools to work with genomic datasets.

  7. Computational biology - Wikipedia

    en.wikipedia.org/wiki/Computational_biology

    Sequence alignment is useful in a number of bioinformatics applications, such as computing the longest common subsequence of two genes or comparing variants of certain diseases. [ citation needed ] An untouched project in computational genomics is the analysis of intergenic regions, which comprise roughly 97% of the human genome. [ 19 ]

  8. YASARA - Wikipedia

    en.wikipedia.org/wiki/YASARA

    The free version of YASARA [2] is well suited to bioinformatics education. A series of freely available bioinformatics courses exist that use this software. Students working on an educational task using YASARA. See the Center for Molecular and Biomolecular Informatics (CMBI) education pages for a series of examples. [3]

  9. BioPerl - Wikipedia

    en.wikipedia.org/wiki/BioPerl

    BioPerl is an active open source software project supported by the Open Bioinformatics Foundation.The first set of Perl codes of BioPerl was created by Tim Hubbard and Jong Bhak [citation needed] at MRC Centre Cambridge, where the first genome sequencing was carried out by Fred Sanger.