bioinfoacademy's repositories
hifiasm
Hifiasm: a haplotype-resolved assembler for accurate Hifi reads
pbipa
Improved Phased Assembler
mkdocs_template
mkdocs_template
pgap
NCBI Prokaryotic Genome Annotation Pipeline
coessentiality-browser
Gene browser using coessentiality and related data
morpheus.js
JavaScript matrix visualization and analysis
st_tissue_recognition
A tool to create masks around the tissue area in a Spatial Transcriptomics' brightfield image
scTalk
Intercellular communication analysis for scRNA-seq data
Rhea
A set of R scripts for the analysis of microbial profiles
epiviz
EpiViz is a scientific information visualization tool for genetic and epigenetic data, used to aid in the exploration and understanding of correlations between various genome features.
SurfaceGenie
Matt Waas' SurfaceGenie project as programmed by Shana Snarrenberg. 0.4 version used initially
scDataviz
scDataviz: single cell dataviz and downstream analyses
phenomenet-vp
A phenotype-based tool for variant prioritization in WES and WGS data
PathLinker-Cytoscape
Cytoscape plugin for PathLinker
covid-19-us
Covid-19 reported cases data and analysis for US states - Last Update : April 7, 2020
st_spot_detector
A web tool to do automatic spots detections and positional adjustments for Spatial Transcriptomics Datasets.
covid19
SIR code in python to model the spread of COVID-19
CNNC
covolutional neural network based coexpression analysis
STAR-Fusion-Tutorial
Tutorial for STAR-Fusion, FusionInspector, and de novo reconstruction of fusion transcripts using Trinity
pharml
PharML is a framework for predicting compound affinity for protein structures. It utilizes a novel Molecular-Highway Graph Neural Network (MH-GNN) architecture based on state-of-the-art techniques in deep learning. This repository contains the visualization, preprocessing, training, and inference code written in Python and C. In addition, we provide an ensemble of pre-trained models which can readily be used for quickly generating rank-ordered predictions of compound affinity relative to a given target. DISCLAIMER: Compounds predicted by PharML.Bind should not be used without consulting a doctor or pharmacist - all results should be considered unverified and used only as a starting point for further investigation. Use at your own risk!
covid
covid 19
covid-data
covid 19 data