tanjimin / C.OrigamiLinks
C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
☆81Updated last year
Alternatives and similar repositories for C.Origami
Users that are interested in C.Origami are comparing it to the libraries listed below
Sorting:
- deep learning-inspired explainable sequence model for transcription initiation☆99Updated 8 months ago
- code to run sei and obtain sei and sequence class predictions☆109Updated 2 years ago
- ☆33Updated 9 months ago
- single-cell Hi-C, scHi-C, Hi-C, 3D genome, nuclear organization, hypergraph☆92Updated 3 weeks ago
- code to run EPInformer for gene expression prediction and gene-enhancer link prediction☆42Updated last month
- sequence-based prediction of multiscale genome structure from kilobase to whole-chromosome scale☆93Updated 8 months ago
- A lite implementation of tfmodisco, a motif discovery algorithm for genomics experiments.☆85Updated last month
- Scripts + resources for analyzing combinatorial Hi-C data☆31Updated 6 years ago
- a toolset for mining multi-dimensional features of the translatome with ribosome profiling data☆18Updated 4 months ago
- Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)☆189Updated 2 months ago
- ☆38Updated 3 years ago
- Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…☆71Updated 2 years ago
- Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.☆84Updated last week
- Notes on single-cell Hi-C technologies, tools, and data☆84Updated last year
- This repository hosts a minimal version of a Python API for BPNet.☆53Updated last month
- A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence☆33Updated last year
- Computational Optimization of DNA Activity (CODA)☆64Updated 7 months ago
- ExplaiNN: interpretable and transparent neural networks for genomics☆49Updated 7 months ago
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆98Updated 2 months ago
- A modular framework for multimodal cross-cell-type transcriptional regulation models☆94Updated 3 months ago
- ☆54Updated last month
- Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them☆169Updated last month
- Grouping of Lymphocyte Interactions by Paratope Hotspots☆97Updated 4 years ago
- Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires (scroll down for the README)☆86Updated 4 years ago
- ☆24Updated last year
- Compute generation probabilities of CDR3 amino acid and nucleotide sequences☆62Updated this week
- Pipeline for generating reference and perturbed sequences for input into predictive models.☆11Updated last year
- Notes on ChIP-seq and other-seq-related tools☆26Updated 4 months ago
- Biological sequence analysis for the modern age.☆258Updated 3 weeks ago
- PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data☆45Updated last month