ORFHunteR - software for the automatic identification of the open reading frames (ORF) in human mRNA molecules

The web project ORFhunter.bsu.by is a software service for the automatic identification of open reading frames (ORFs) in human mRNA molecules. Users can load RNA sequences in FASTA format and upload them for processing. The service employs a machine learning model based on vectorization of nucleotide sequences and the random forest classification algorithm to accurately predict ORFs. Users can select various types of ORFs and set a prediction probability threshold. ORFhunter provides annotated results with RNA transcript ID, start and stop positions, and length of the predicted ORFs. The website includes a user manual, license information, and links to useful resources such as NCBI and Ensembl. The team behind the project is based at the Systems analysis and Computer Modelling department and the Department of Genetics at Belarusian State University.