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C++ based molecule editor and visualizer for in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. Linux, macOS, Unix, Windows: 3-Clause BSD License: Open Chemistry Project: BEDtools "Genome arithmetic"—manipulation of coordinate sets and the extraction of sequences from a BED file. Linux: MIT
Series of modular computer programs to detect regulatory signals in non-coding sequences: Fungi, Prokaryotes, Metazoa, Protist, Plants [41] [42] PHANOTATE: A tool to annotate phage genomes. Phages [43] SplicePredictor Method to identify potential splice sites in (plant) pre-mRNA by sequence inspection using Bayesian statistical models ...
Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
DeepMind is known to have trained the program on over 170,000 proteins from the Protein Data Bank, a public repository of protein sequences and structures.The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. [2]
A sequence profiling tool in bioinformatics is a type of software that presents information related to a genetic sequence, gene name, or keyword input. Such tools generally take a query such as a DNA, RNA, or protein sequence or ‘keyword’ and search one or more databases for information related to that sequence.
Alignments for membrane protein sequences: Protein: Both: M. Stamm, K. Khafizov, R. Staritzbichler, L.R. Forrest: 2013 ALLALIGN For DNA, RNA and protein molecules up to 32MB, aligns all sequences of size K or greater. Similar alignments are grouped together for analysis. Automatic repetitive sequence filter. Both Local E. Wachtel 2017
the linear amino acid sequence of a protein, which chemically is a polypeptide chain composed of amino acids joined by peptide bonds. Profile (sequence context) a scoring matrix that represents a multiple sequence alignment of a protein family. The profile is usually obtained from a well-conserved region in a multiple sequence alignment.
In general, a machine learning system can usually be trained to recognize elements of a certain class given sufficient samples. [30] For example, machine learning methods can be trained to identify specific visual features such as splice sites. [31] Support vector machines have been extensively used in cancer genomic studies. [32]