Prediction tool | References | Website | Description |
---|---|---|---|
Coding Non-Coding Identifying Tool (CNIT) | [126] | Distinguishes between coding and non-coding regions based on intrinsic sequence compositions | |
Coding Region Identification Tool Invoking Comparative Analysis (CRITICA) | [127] | Analyses nucleotide sequence composition and conservation at the amino acid level | |
Coding Potential Calculator (CPC)/CPC2 | Assess protein-coding potential based on important features (ORF size, coverage, integrity); CPC2 improves run speed and accuracy | ||
Coding Potential Predictor (CPPred) | [130] | Predicts the coding potential of RNA transcript | |
CPPred-sORF | [131] | Addition of 2 new features from CCPred i.e., GCcount, mRNN-11codons and CUG, GUG start codons | |
MicroPeptide Tool (MiPepid) | [21] | Identifies coding sORFs based on existing microproteins subpopulation set | |
sORF Finder | [52] | Identifies sORF with high coding potential based on nucleotide composition bias and potential functional constraint at the amino acid level | |
smORFunction | [132] | Provides function prediction of sORFs/microproteins | |
miPFinder | [133] | Identifies and evaluates microproteins functionality using information on size, domain, protein interactions and evolutionary origin | |
PhastCons | [134] | Based on conservation scoring and identification of conserved elements | |
PhyloCSF | [135] | Determines a conserved protein-coding region based on formal statistical comparison of phylogenetic codon models | |
uPEPperoni | [136] | Specifically for 5’UTR sORFs, based on conservation | |
AnABLAST | [34] | Identifies putative protein-coding regions in DNA regardless of ORF length and reading frame shifts | |
Small Peptide Alignment Discovery Application (SPADA) | [137] | Homology-based gene prediction programme | |
Deep Neural Network for coding potential prediction (DeepCPP) | [138] | Effective on RNA coding potential prediction, spefically sORF mRNA prediction |