pjsample / human_5utr_modeling
Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.
☆43Updated 5 years ago
Alternatives and similar repositories for human_5utr_modeling:
Users that are interested in human_5utr_modeling are comparing it to the libraries listed below
- Code for "Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning"☆16Updated 6 months ago
- ☆69Updated last year
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆32Updated 2 months ago
- HLA-II ligand predictor.☆38Updated last year
- Code and data used in The Great Repertoire Project☆29Updated 3 years ago
- ☆38Updated last year
- 🧛 Deep generative models for TCR sequences 🧛☆16Updated 2 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆67Updated 9 months ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- Collection of papers related to BCR repertoire analyses☆17Updated 2 years ago
- Mutation effects predicted from sequence co-variation☆61Updated 7 years ago
- HLA-I ligand predictor☆30Updated 3 weeks ago
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆43Updated 5 months ago
- RNA structure probing and post-transcriptional modifications mapping high-throughput data analysis☆36Updated last week
- Python package and command line tool for epitope prediction☆49Updated 5 months ago
- Evolutionary velocity with protein language models☆84Updated last year
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆31Updated 5 years ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆23Updated 2 years ago
- ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by…☆16Updated 2 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- Species-aware DNA language modeling☆17Updated last year
- Code for 5UTR project☆24Updated last year
- Computational Optimization of DNA Activity (CODA)☆51Updated last week
- Scripts for "Determining protein structures using deep mutagenesis", Schmiedel & Lehner, Nature Genetics, 2019☆17Updated 5 years ago
- Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…☆29Updated last year
- Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python☆29Updated 2 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆48Updated 8 months ago
- A visualization software for antibody multi sequence alignment☆17Updated 7 months ago
- Promoter activity measurement and modeling; artificial promoter design and testing☆12Updated last year
- MHC Class I and Class II neoantigen binding prediction☆26Updated last year