Name: Computational Biology Group @ Children's Cancer Insitute
Type: Organization
Bio: The Computational Biology Group @ Children's Cancer Insitute develop better tools for precision medicine. WGS, RNAseq, multi-omics, health data
Location: Australia
Blog: https://compbio.ccia.org.au/
Computational Biology Group @ Children's Cancer Insitute's Projects
development version for the Landscape paper
repo listing packages to include in a personal cran-like repository (r_universe)
A database of clinical WGS testing providers
ConsHLA: consensus HLA typing from NGS data
The disTIL immunoprofiling toolkit
a collection of utility functions for parsing linx output, with a focus on ecDNA
Convert between common biological filetypes
Easily Convert Common Filetypes for Biological Data
Introme prioritises coding and noncoding splice-altering variants for clinical variant interpretation
iPASS
Curated collections of related microbes
Provides easy access to PCAWG datasets
PCAWG mutations R package
A collection of utilities and data for simplifying analyses of noncoding variation
Identify radiation induced gliomas using a gene expression signature
Database of genes whic frequently sustain somatic mutations, but are unlikely to drive cancer
Using explainable AI to crack open the black box of SpliceAI
Supporting code for figures in our 2024 Splice Guidelines Manuscript (Sullivan et al)
What the Package Does (One Line, Title Case)
Easily access TCGA gistic data
Database of TCGA precomputed GISTIC2 analysis
Convert VCFs and VCF-related formats to MAF