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The gene finder is based on a hidden Markov model (HMM) that is automatically estimated for a new genome. Prokaryotes [8] [9] EuGene: Integrative gene finding: Prokaryotes, Eukaryotes [10] [11] FGENESH: HMM-based gene structure prediction: multiple genes, both chains: Eukaryotes [12] FrameD: Find genes and frameshift in G+C rich prokaryote ...
A computer-assisted design (CAD) tool for synthetic biology, used to design genetic constructs based on grammar rules. Linux, macOS, Windows: Apache License 2.0 GenoCAD Team (Virginia Bioinformatics Institute) Genomespace: Centralized web application that provides data format transformations and facilitates connections with other bioinformatics ...
Ab Initio gene prediction is an intrinsic method based on gene content and signal detection. Because of the inherent expense and difficulty in obtaining extrinsic evidence for many genes, it is also necessary to resort to ab initio gene finding, in which the genomic DNA sequence alone is systematically searched for certain tell-tale signs of protein-coding genes.
Tests were conducted to evaluate the accuracy of GENSCAN with short data sets. One test was done on the Burset/Guigó dataset containing 570 vertebrate multi-exon gene sequences. The data produced from this test is shown in the table below, along with the data produced by testing other programs with the same dataset.
Kosuge et al. (2006) [6] examined the gene finding methods used for 183 genomes. They reported that of these projects, Glimmer was the gene finder for 49%, followed by GeneMark with 12%, with other algorithms used in 3% or fewer of the projects. (They also reported that 33% of genomes used "other" programs, which in many cases meant that they ...
The MeV modules include a variety of algorithms to execute tasks like Clustering and Classification, Student's t-test, Gene Set Enrichment Analysis or Significance Analysis. MeV runs on Java. NGSUtils is a suite of software tools for working with next-generation sequencing datasets.
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MutationTaster is a free web-based application to evaluate DNA sequence variants for their disease-causing potential. The software performs a battery of in silico tests to estimate the impact of the variant on the gene product / protein.
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