Victor Chang Cardiac Research Institute
The Victor Chang Cardiac Research Institute is dedicated to fighting cardiovascular disease through research.
Sydney, Australia
Pinned Repositories
CardiacProfileR
CardiacProfileR: An R package for extraction and visualisation of heart rate profiles from wearable fitness trackers
CIDR
Clustering through Imputation and Dimensionality Reduction
dv-trio
dv-trio provides a pipeline to call variants for a trio (father-mother-child) using DeepVariants [1]. Genomic Variant Calling Files (gVCFs) created by DeepVariants are then co_called together using GATK[2]. The resultant trio VCF is then post-processing with FamSeq[3] to eliminate mendelian errors.
Falco
A quick and flexible single-cell RNA-seq processing framework on the cloud
FlowGrid
Sierra
Discover differential transcript usage from polyA-captured single cell RNA-seq data
SVPV
Structural Variant Prediction Viewer
Ularcirc
An R-shiny app that provides backsplice and canonical splicing analysis for both circular RNA (circRNA) and parental transcripts
VPOT
VPOT - Variant Prioritisation Ordering Tool. VPOT is a Python tool written to allow prioritisation of variants in ANNOVAR annotated VCF files.
XGSA
XGSA: a statistical method for cross-species gene set analysis
Victor Chang Cardiac Research Institute's Repositories
VCCRI/Sierra
Discover differential transcript usage from polyA-captured single cell RNA-seq data
VCCRI/Ularcirc
An R-shiny app that provides backsplice and canonical splicing analysis for both circular RNA (circRNA) and parental transcripts
VCCRI/FlowGrid
VCCRI/PBrowse
A real-time collaborative genome browser
VCCRI/Spliceogen
VCCRI/Cardiac-Image-Analysis
Images, macros and analysis pipelines for the quantitative analysis of cardiac parameters from microscopy images
VCCRI/FibroblastIntegration
Code related to the integration analysis of cardiac fibroblasts
VCCRI/CAPS
VCCRI/sSNVs
VCCRI/CMmolecularSignatures
Cardiomyocyte molecular signatures
VCCRI/MetaDenovo
MetaDenovo : An automated framework to detect de novo mutations from whole genome trio data using cloud computing technology.
VCCRI/RNASeqWorkflows
VCCRI/ShinyCell
Shiny Interactive Web Apps for Single-Cell Data
VCCRI/VCCRI.github.io
VCCRI/azure-nextflow
automate azure batch deployment
VCCRI/azure-nextflow-cipa
VCCRI/cipa_master_training_docker
VCCRI/cipa_model_validation_docker
VCCRI/CompanyPortal
Company-Portal-Icon
VCCRI/DCM_polygenic_study_2024
A 2024 study on polygenic risk scores and familial inheritance of dilated cardiomyopathy
VCCRI/ecological_study_asbestos_ARD_2022
A 2022 ecological study of asbestos consumption and asbestos related diseases (ARD)
VCCRI/from_dels_to_retrogenes
Identify retrocopied genes from whole genome sequencing structural variant clean intron deletions
VCCRI/kic_data_analyser
VCCRI/LAMA
Automatic phenotyping tool for 3D images
VCCRI/SCN5A_SyncroPatch
VCCRI/ShinyCell-Docker
Shiny Interactive Web Apps for Single-Cell Data
VCCRI/SpliceSM
VCCRI/TrioSim
VCCRI/variant_calling_and_annotation_pipeline
Scripts to call, annotate and analyse variants for multiple samples of whole genome sequencing (WGS)
VCCRI/vpv
Volumetric viewer