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List of gene prediction software
From Wikipedia, the free encyclopedia
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This is a list of software tools and web portals used for gene prediction.
More information Name, Description ...
| Name | Description | Species | References |
|---|---|---|---|
| FINDER | Automated software package to annotate eukaryotic genes from RNA-Seq data and associated protein sequences | Eukaryotes | [1] |
| FragGeneScan | Predicting genes in complete genomes and sequencing Reads | Prokaryotes, Metagenomes | [2] |
| ATGpr | Identifies translational initiation sites in cDNA sequences | Human | [3] |
| Prodigal | Its name stands for Prokaryotic Dynamic Programming Genefinding Algorithm. It is based on log-likelihood functions and does not use Hidden or Interpolated Markov Models. | Prokaryotes, Metagenomes (metaProdigal) | [4] |
| AUGUSTUS | Eukaryote gene predictor | Eukaryotes | [5] |
| BGF | Hidden Markov model (HMM) and dynamic programming based ab initio gene prediction program | [6] | |
| DIOGENES | Fast detection of coding regions in short genome sequences | ||
| Dragon Promoter Finder | Program to recognize vertebrate RNA polymerase II promoters | Vertebrates | [7] |
| EasyGene | 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 sequences | Prokaryotes, Eukaryotes | [13] |
| GeMoMa | Homology-based gene prediction based on amino acid and intron position conservation as well as RNA-Seq data | [14][15] | |
| GENIUS II | Links ORFs in complete genomes to protein 3D structures | Prokaryotes, Eukaryotes | [16] |
| geneid | Program to predict genes, exons, splice sites, and other signals along DNA sequences | Eukaryotes | [17] |
| GeneParser | Parse DNA sequences into introns and exons | Eukaryotes | [18] |
| GeneMark | Family of self-training gene prediction programs | Prokaryotes, Eukaryotes,
Metagenomes |
[19][20][21][22] |
| GeneTack | Predicts genes with frameshifts in prokaryote genomes | Prokaryotes | [23] |
| GenomeScan | Predicts the locations and exon-intron structures of genes in genome sequences from a variety of organisms, GENSCAN server is the GenomeScan's predecessor | Vertebrate, Arabidopsis, Maize | [24] |
| GENSCAN | Predicts the locations and exon-intron structures of genes in genome sequences from a variety of organisms | Vertebrate, Arabidopsis, Maize | [25][26][27] |
| GLIMMER | Finds genes in microbial DNA | Prokaryotes | [28][29][30] |
| GLIMMERHMM | Eukaryotic gene-finding system | Eukaryotes | [31] |
| GrailEXP | Predicts exons, genes, promoters, polyas, CpG islands, EST similarities, and repeat elements in DNA sequence | Human, Mus musculus, Arabidopsis thaliana, Drosophila melanogaster | [32][33] |
| mGene | Support-vector machine (SVM) based system to find genes | Eukaryotes | [34] |
| mGene.ngs | SVM based system to find genes using heterogeneous information: RNA-seq, tiling arrays | Eukaryotes | [35] |
| MORGAN | Decision tree system to find genes in vertebrate DNA | Eukaryotes | [36] |
| BioNIX | Web tool to combine results from different programs: GRAIL, FEX, HEXON, MZEF, GENEMARK, GENEFINDER, FGENE, BLAST, POLYAH, REPEATMASKER, TRNASCAN | Prokaryotes, Eukaryotes | [37] |
| NNPP | Neural network promoter prediction | Prokaryotes, Eukaryotes | [38] |
| NNSPLICE | Neural network splice site prediction | Drosophila, Human | [39] |
| ORFfinder | Graphical analysis tool to find all open reading frames | Prokaryotes, Eukaryotes | [40] |
| Regulatory Sequence Analysis Tools | 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 | Eukaryotes | [44] |
| VEIL | Hidden Markov model to find genes in vertebrate DNA Server | Eukaryotes | [45] |
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