Pinned Repositories
ATACSeq-NextFlow-Pipeline
This is an automated workflow pipeline for analyzing bulk ATAC-seq data, implemented primarily in bash scripts, and wrapped in a NextFlow workflow.
dca_workshop
dcp-my-happy-school
microsoft-teams-apps-company-communicator
Company Communicator app template
OpenNOP
Network Observability Platform for monitoring of OpenROADM-based multi layer optical networks
profiles
A web app for displaying researcher profiles, providing user-editable information and basic pages to aesthetically promote and highlight researcher activities and achievements.
py-mfdca
Simple Python Implementation of mean-field Direct Coupling Analysis
repository-naming
Suggestions on how to name new repositories.
resource-catalog-plugin
A WordPress plugin to manage and display a searchable, filterable catalog of resources.
support-training
GitHub Support and Training resources for UTD users. Please email assist@utdallas.edu if you have any issues.
The University of Texas at Dallas's Repositories
utdal/profiles
A web app for displaying researcher profiles, providing user-editable information and basic pages to aesthetically promote and highlight researcher activities and achievements.
utdal/py-mfdca
Simple Python Implementation of mean-field Direct Coupling Analysis
utdal/resource-catalog-plugin
A WordPress plugin to manage and display a searchable, filterable catalog of resources.
utdal/ATACSeq-NextFlow-Pipeline
This is an automated workflow pipeline for analyzing bulk ATAC-seq data, implemented primarily in bash scripts, and wrapped in a NextFlow workflow.
utdal/Bulk-RNA-Seq-Nextflow-Pipeline
This is an automated workflow pipeline for analyzing and processing Bulk-RNA seq data, implemented primarily in bash, python and R, and wrapped in a NextFlow workflow to characterize the gene landscape in the samples.
utdal/cayuse-connector
A single-page web application providing an easy-to-use interface to interact with the Cayuse API.
utdal/OpenNOP
Network Observability Platform for monitoring of OpenROADM-based multi layer optical networks
utdal/af2complex
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
utdal/alphafold
Open source code for AlphaFold.
utdal/dca_workshop
utdal/Interactome-Analysis
utdal/openfold
Trainable PyTorch reproduction of AlphaFold 2
utdal/openroadm_exporter
Prometheus Exporter for OpenROADM Devices
utdal/orgchart-wordpress-plugin
A WordPress plugin for managing people and generating directories and org charts.
utdal/profiles-wordpress-plugin
utdal/progen
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
utdal/seec-nt
Python implementation of seec-nt
utdal/sg-budget-breakdown
A website that allows one to visualize the UT Dallas budget
utdal/TRAP-Analysis
TRAP-Analysis tool enables the investigation of cell-specific mRNA associations with ribosomes obtained from Translating Ribosome Affinity Purification (TRAP) sequencing.
utdal/coevolution-portal-backend
utdal/dcaServerFrontend
utdal/knime-utd-statistics
utdal/miRNA-Analysis
utdal/Nageotte-Nodule-Analysis
Nageotte nodules in human DRG reveal neurodegeneration in painful diabetic neuropathy.
utdal/pain-test-01
utdal/RNA-Data
https://sensoryomics.shinyapps.io/RNA-Data/
utdal/utdallas-branding-bar
A WordPress plugin to show the UT Dallas branding top bar
utdal/visium10x-spatial-transcriptomics-pipeline
This repository provides an R-based pipeline for analyzing spatial RNA-seq data using Seurat, STDeconvolve, and Giotto. Designed to process and analyze spatial transcriptomics data through a sequence of well-defined steps, enabling in-depth exploration and interpretation of spatially resolved gene expression profiles.
utdal/visium_distance_plotting_tool
The Visium Distance Plotting Tool is a python-based application that offers a range of interactive plots for analyzing visium single-cell data(e.g. csv files).
utdal/visium_spatial_analysis_tool
Visium Spatial Gene Expression is a next-generation molecular profiling solution for classifying tissue based on total mRNA. The steps involved in classifying the Spatial Gene Expression is done in this tool using python and R.