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This glossary of biology terms is a list of definitions of fundamental terms and concepts used in biology, the study of life and of living organisms.It is intended as introductory material for novices; for more specific and technical definitions from sub-disciplines and related fields, see Glossary of cell biology, Glossary of genetics, Glossary of evolutionary biology, Glossary of ecology ...
Open Bioinformatics Foundation. BioPHP. PHP language toolkit with classes for DNA and protein sequence analysis, alignment, database parsing, and other bioinformatics tools. Cross-platform. GPL v2. Open Bioinformatics Foundation. Biopython. Python language toolkit. Cross-platform.
Oxford Dictionary of Biology (often abbreviated to ODB) is a multiple editions dictionary published by the English Oxford University Press. With more than 5,500 entries, [1] [2] it contains comprehensive information in English on topics relating to biology, biophysics, and biochemistry. [3] The first edition was published in 1985 as A Concise ...
This glossary of genetics and evolutionary biology is a list of definitions of terms and concepts used in the study of genetics and evolutionary biology, as well as sub-disciplines and related fields, with an emphasis on classical genetics, quantitative genetics, population biology, phylogenetics, speciation, and systematics.
List of phylogenetics software. This list of phylogenetics software is a compilation of computational phylogenetics software used to produce phylogenetic trees. Such tools are commonly used in comparative genomics, cladistics, and bioinformatics. Methods for estimating phylogenies include neighbor-joining, maximum parsimony (also simply ...
Alternatively, here is a categorization according to the respective bioinformatics subfield specialized on: Sequence analysis software. List of sequence alignment software. List of alignment visualization software. Alignment-free sequence analysis. De novo sequence assemblers. List of gene prediction software. List of disorder prediction software.
Bioinformatics uses biology, chemistry, physics, computer science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The subsequent process of analyzing and interpreting data is referred to as computational biology .
InCroMAP. tool for the integration of omics data and joint visualization of experimental data in pathways. multiplatform (Java-based) LGPL. [14] Pathview. pathway based data integration and visualization, easy to use and integrate into pathway analysis. multiplatform (R/Bioconductor) GPL.