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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 ...
Sumatra PDF is a free and open-source document viewer that supports many document formats including: Portable Document Format (PDF), Microsoft Compiled HTML Help (CHM), DjVu, EPUB, FictionBook (FB2), MOBI, PRC, Open XML Paper Specification (OpenXPS, OXPS, XPS), and Comic Book Archive file (CB7, CBR, CBT, CBZ). [3]
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 ...
[68] [69] Software platforms designed to teach bioinformatics concepts and methods include Rosalind and online courses offered through the Swiss Institute of Bioinformatics Training Portal. The Canadian Bioinformatics Workshops provides videos and slides from training workshops on their website under a Creative Commons license. The 4273π ...
UGENE is computer software for bioinformatics. [1] [2] It works on personal computer operating systems such as Windows, macOS, or Linux.It is released as free and open-source software, under a GNU General Public License (GPL) version 2.
The NCBI Bookshelf [6] is a collection of freely accessible, downloadable, online versions of selected biomedical books. The Bookshelf covers a wide range of topics including molecular biology , biochemistry , cell biology , genetics , microbiology , disease states from a molecular and cellular point of view, research methods, and virology .
The component programs of phylip use several different formats, all of which are relatively simple. Programs for the analysis of DNA sequence alignments, protein sequence alignments, or discrete characters (e.g., morphological data) can accept those data in sequential or interleaved format, as shown below.
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