GfellerLab / MixMHC2predLinks
HLA-II ligand predictor.
☆44Updated 2 years ago
Alternatives and similar repositories for MixMHC2pred
Users that are interested in MixMHC2pred are comparing it to the libraries listed below
Sorting:
- HLA-I ligand predictor☆43Updated last week
- MHC Class I and Class II neoantigen binding prediction☆32Updated 2 months ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆35Updated 3 years ago
- PRedictor of IMmunogenic Epitopes☆24Updated last week
- ☆38Updated last year
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆34Updated 3 years ago
- ☆80Updated 2 years ago
- Absolve antibody variable domain sequence analysis☆18Updated 7 years ago
- an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression☆11Updated last year
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆17Updated 2 years ago
- immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.☆69Updated 2 weeks ago
- ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by…☆20Updated 2 years ago
- Python interface to running command-line and web-based MHC binding predictors☆98Updated last year
- Deep Learning Method to Identify Cancer Associated TCRs☆47Updated 3 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆56Updated last year
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆73Updated 2 years ago
- RNA structure probing and post-transcriptional modifications mapping high-throughput data analysis☆42Updated 3 weeks ago
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆21Updated last week
- Functional Embedding of Gene Signatures☆46Updated last year
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆84Updated 3 years ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 2 years ago
- Immunoglobulin and T-Cell receptor rearrangement software☆50Updated last year
- CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offer…☆54Updated last year
- flexible CDR based distance metrics☆67Updated last year
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆52Updated 6 years ago
- TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequenc…☆30Updated 2 years ago
- Compute generation probabilities of CDR3 amino acid and nucleotide sequences☆59Updated 4 years ago
- Code for "Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning"☆23Updated last year
- Predictor of TCR-epitope interactions☆34Updated 3 weeks ago
- Comprehensive Python client for the Uniprot REST API☆50Updated 3 months ago