| Название / Заголовок | ORFHunteR - software for the automatic identification of the open reading frames (ORF) in human mRNA molecules |
|---|---|
| Телефон | +375172095860, +375173987042, +35226970385 |
| bioinformatics.rfct.bio.bsu@gmail.com | |
| Обновлено | 2025-12-20 22:32:58.673086+00 |
| IP адрес | 217.21.43.34 |
| Проверка IP | 2025-12-03 22:24:30.244657+00 |
| Viewport | width=device-width, initial-scale=1.0 |
| AI-анализ | The website ORFhunter.bsu.by is dedicated to ORFhunter, a software tool for the automatic identification of open reading frames (ORFs) in human mRNA molecules. The website provides information about the software, its functionality, and usage. Users can upload RNA sequences in FASTA format for analysis, select the type of ORF they are looking for, and set a prediction probability threshold. The software uses a machine learning model based on vectorization of nucleotide sequences and the random forest classification algorithm for accurate prediction of ORFs. The website also includes links to useful resources such as the NCBI Reference Sequence Database and Ensembl. The team behind ORFhunter is based at the Systems analysis and Computer Modelling department and the Department of Genetics at Belarusian State University. The website uses cookies for session organization. |
| SEO-лексика | orfhunter the contact about cookie ncbi for and open reading frames orf toggle consent our cookies accept policy belarusian state |
| Безопасность | hsts: ✅, csp: ❌, x_frame: ✅, x_content_type: ❌, re...hsts: ✅, csp: ❌, x_frame: ✅, x_content_type: ❌, referrer_policy: ❌ |
| Технологии сайта | Bootstrap, FontAwesome, jQuery |
| SSL до | 2026-08-02 |
| Дней до SSL | 224 |
| Кодировка | utf-8 |
| AI-качество | 1 |
| Флаги | {desktop_timeout,encoding:utf-8,mobile_timeout} |
| Sitemap | ❌ Нет |
| QR / Короткая ссылка | ![]() niti.by/GZ4i |