PyCogent swMATH ID: 26797 Software Authors: Knight, R.; Maxwell, P.; Birmingham, A.; Carnes, J.; Caporaso, J. G.; Easton, B. C.; et al. Description: PyCogent: a toolkit for making sense from sequence. We have implemented in Python the COmparative GENomic Toolkit, a fully integrated and thoroughly tested framework for novel probabilistic analyses of biological sequences, devising workflows, and generating publication quality graphics. PyCogent includes connectors to remote databases, built-in generalized probabilistic techniques for working with biological sequences, and controllers for third-party applications. The toolkit takes advantage of parallel architectures and runs on a range of hardware and operating systems, and is available under the general public license from http://sourceforge.net/projects/pycogent. Homepage: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375001/ Dependencies: Python Related Software: Python; bioperl; PyMOL; Biopython; Omics Pipe; Anaconda; IPython; PyPI; BioRuby; BioSQL; BioJava; Ruffus; KNIME; Taverna; Bio.Phylo; DendroPy; SciPy; ProDy; PERL; Bioconductor Cited in: 1 Document Cited by 3 Authors 1 Rother, Kristian 1 Tramontano, Anna 1 Via, Allegra Cited in 1 Serial 1 Chapman & Hall/CRC Mathematical and Computational Biology Series Cited in 3 Fields 1 Statistics (62-XX) 1 Computer science (68-XX) 1 Biology and other natural sciences (92-XX) Citations by Year