Search results
Results from the WOW.Com Content Network
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 ...
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 ...
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.
Galaxy [2] is an open-source scientific workflow system designed to make research accessible, reproducible, and transparent. Originally developed for computational biology, Galaxy has evolved into a domain-agnostic framework utilized across various scientific disciplines.
CLC bio's main activities were in software development for desktop (Mac OS X, Windows, and Linux), enterprise, and cloud software for analysis of biological data.CLC bio developed some of their own open source algorithms, as well as their own SIMD-accelerated implementations of several existing popular applications.
Anyone can either compile an executable from the Python-licensed source code or pay for a subscription to support services to obtain access to precompiled executables. On 8 January 2010, Schrödinger, Inc. reached an agreement to acquire PyMOL. The firm assumed development, maintenance, support, and sales of PyMOL, including all then-valid ...
Biological data visualization is a branch of bioinformatics concerned with the application of computer graphics, scientific visualization, and information visualization to different areas of the life sciences.
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.