pfenninglab / TACITLinks
OCR-Phenotype Association from Tissue-Aware Conservation Inference Toolkit
☆18Updated 11 months ago
Alternatives and similar repositories for TACIT
Users that are interested in TACIT are comparing it to the libraries listed below
Sorting:
- code to run sei and obtain sei and sequence class predictions☆108Updated 2 years ago
- A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence☆33Updated last year
- This is the package of Yuanfang's winning algorithm in the ENCODE-DREAM in vivo Transcription Factor Binding Site Prediction Challenge☆20Updated 5 years ago
- Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…☆66Updated 2 years ago
- a toolset for mining multi-dimensional features of the translatome with ribosome profiling data☆18Updated last month
- ☆45Updated this week
- Preprocesses and Aligns Run-On Sequencing (PRO/GRO/ChRO-seq) data from Single-Read or Paired-End Illumina Sequencing☆29Updated 8 months ago
- ☆26Updated 4 months ago
- Bias factorized, base-resolution deep learning models of chromatin accessibility (chromBPNet)☆177Updated last month
- Notes on single-cell Hi-C technologies, tools, and data☆80Updated 10 months ago
- Saluki, a method to predict mRNA half-lives from sequence☆25Updated 2 years ago
- CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for desi…☆44Updated 2 weeks ago
- Data of genome annotation from full-stack ChromHMM model trained with 1032 datasets from 127 reference epigenomes☆37Updated last year
- C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.☆78Updated last year
- Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.☆98Updated 7 months ago
- ☆38Updated 2 years ago
- A framework to score and analyze variant effects genome-wide using ChromBPNet models☆14Updated last month
- PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data☆44Updated last year
- ☆38Updated 5 years ago
- ☆61Updated 5 years ago
- Relative Expression Ordering Analysis (REOA) package☆21Updated 2 years ago
- ☆35Updated 2 years ago
- BLADE: Bayesian Log-normAl DEconvolution for enhanced in silico microdissection of bulk gene expression data☆28Updated last year
- SAMap: Mapping single-cell RNA sequencing datasets from evolutionarily distant organisms.☆79Updated last year
- Identifying tumor cells at the single-cell level using machine learning☆48Updated 9 months ago
- ExplaiNN: interpretable and transparent neural networks for genomics☆49Updated 5 months ago
- Custom code for processing Parse Bio snRNA-seq data generated by the Mortazavi lab at UCI☆12Updated 4 months ago
- ☆23Updated 6 months ago
- Epimap processing and analysis code repository☆33Updated 3 years ago
- Repository for Cibersortx☆61Updated 4 years ago