Alternatives and similar repositories for Translatomer

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

• jzhoulab / puffin_manuscript
  ☆18Updated last year
• FunctionLab / sei-manuscript
  Code for reproducing the Sei manuscript results
  ☆17Updated 3 years ago
• mostafavilabuw / EnformerAssessment
  ☆24Updated last year
• bm2-lab / MUSIC
  model-based understanding of single-cell CRISPR screening
  ☆25Updated 11 months ago
• mhorlacher / rbpnet
  ☆18Updated last year
• wassermanlab / ExplaiNN
  ExplaiNN: interpretable and transparent neural networks for genomics
  ☆49Updated 7 months ago
• MiraldiLab / maxATAC
  Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
  ☆29Updated 7 months ago
• yal054 / epiformer
  ☆26Updated 7 months ago
• johli / aparent
  APA Regression Net - Predict and Engineer Alternative Polyadenylation
  ☆39Updated 4 years ago
• p-koo / creme-nn
  https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2
  ☆30Updated 9 months ago
• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer link prediction
  ☆43Updated last month
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆47Updated 3 years ago
• DeplanckeLab / ChromatinHD
  High-definition modeling of chromatin + transcriptomics data
  ☆25Updated 7 months ago
• JiaqiLiZju / Nvwa
  ☆36Updated 3 years ago
• 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 3 years ago
• vagarwal87 / Xpresso
  Predicting gene expression levels from genomic sequences
  ☆55Updated 5 years ago
• karbalayghareh / GraphReg
  Chromatin interaction aware gene regulatory modeling with graph attention networks
  ☆27Updated 2 years ago
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆67Updated this week
• Illumina / PromoterAI
  ☆80Updated 4 months ago
• SUwonglab / PECA
  PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data
  ☆45Updated last month
• XSLiuLab / Seq2Neo
  Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction
  ☆21Updated 2 years ago
• ketringjoni / SuPreMo
  Pipeline for generating reference and perturbed sequences for input into predictive models.
  ☆11Updated last year
• broadinstitute / single_cell_classification
  Methods to use SNPs or gene expression to classify single cell RNAseq to reference profiles
  ☆30Updated 5 years ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆64Updated 7 months ago
• PennHui2016 / OpDEA
  A toolkit for optimal workflow recommendation for proteomics data differential expression analysis
  ☆18Updated last year
• Carldeboer / CisRegModels
  Scripts for building computational models of gene regulation with tensorflow
  ☆11Updated 5 years ago
• wooyongc / Benisse
  ☆18Updated last year
• vagarwal87 / saluki_paper
  Saluki, a method to predict mRNA half-lives from sequence
  ☆26Updated 3 years ago
• Teichlab / cell2tcr
  Inference of TCR motifs
  ☆32Updated 4 months ago
• bernardo-de-almeida / DeepSTARR
  Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…
  ☆71Updated 2 years ago