Alternatives and similar repositories for deepDegron

Users that are interested in deepDegron are comparing it to the libraries listed below

• uio-bmi / compairr
  Comparison of Adaptive Immune Receptor Repertoires
  ☆27Updated 4 months ago
• moss-lab / ScanFold
  ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by…
  ☆19Updated 2 years ago
• KarchinLab / HotMAPS_2016
  Detects hotspot regions for somatic mutations in 3D protein structures
  ☆3Updated last year
• GreiffLab / immuneSIM
  ☆38Updated last year
• Neurotechnology-at-ETH-Zurich / siRNA_Design
  Collection of tools to retrieve siRNA (small interfering RNA) candidate sequences targeting your gene of interest from popular siRNA desi…
  ☆11Updated 2 years ago
• goodarzilab / SwitchFinder
  ☆18Updated 11 months ago
• GfellerLab / PRIME
  PRedictor of IMmunogenic Epitopes
  ☆22Updated last month
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆23Updated 3 months ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆45Updated last year
• mhorlacher / rbpnet
  ☆18Updated last year
• lehner-lab / DiMSum
  An error model and pipeline for analyzing deep mutational scanning (DMS) data and diagnosing common experimental pathologies
  ☆32Updated 2 months ago
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆43Updated 2 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• singha53-zz / diablo
  DIABLO - an integrative multi-group, multi-dataset classification method
  ☆23Updated 6 years ago
• XSLiuLab / Seq2Neo
  Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction
  ☆21Updated 2 years ago
• masato-ogishi / Repitope
  Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.
  ☆24Updated last year
• dincarnato / RNAFramework
  RNA structure probing and post-transcriptional modifications mapping high-throughput data analysis
  ☆39Updated this week
• emmijokinen / TCRconv
  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
• Genentech / Absolve
  Absolve antibody variable domain sequence analysis
  ☆16Updated 6 years ago
• FunctionLab / tapioca
  a framework for predicting global protein-protein interaction networks from dynamic mass spec data
  ☆24Updated last year
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆69Updated 2 years ago
• nf-core / mhcquant
  Identify and quantify MHC eluted peptides from mass spectrometry raw data
  ☆36Updated last week
• SchubertLab / epytope
  ☆19Updated 3 months ago
• brineylab / grp-paper
  Code and data used in The Great Repertoire Project
  ☆30Updated 4 years ago
• TRON-Bioinformatics / TCLP
  an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression
  ☆10Updated last year
• jiujiezz / deephlapan
  A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…
  ☆43Updated 2 years ago
• Seeliglab / 2017---Deep-learning-yeast-UTRs
  Code from "Deep Learning Of The Regulatory Grammar Of Yeast 5′ Untranslated Regions From 500,000 Random Sequences"
  ☆15Updated 7 years ago
• kundajelab / coessentiality
  Companion to "A genome-wide almanac of co-essential modules assigns function to uncharacterized genes" (https://doi.org/10.1101/827071)
  ☆27Updated 2 years ago
• multimeric / Unipressed
  Comprehensive Python client for the Uniprot REST API
  ☆50Updated last week
• KarchinLab / mhcnuggets
  MHC Class I and Class II neoantigen binding prediction
  ☆30Updated 2 years ago