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Biorezonanta Dr. Alexandru Olga 0040723347034


biorezonanta medicina bioresonance imaging scan dr. alexandru olga 0040723347034 biofeedback medical investigation with bioresonance . investigatii, diagnostic si tratament prin biorezonanta . http://www.medicinabiorezonanta.blogspot.com

ci4cc-informatics-resources - Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing


This is a community-maintained list of resources that the CI4CC organization and larger cancer informatics have found useful or are developing. Contributions welcome...

Sarek - Detect germline or somatic variants from normal or tumour/normal whole-genome sequencing data


Previously known as the Cancer Analysis Workflow (CAW), Sarek is a workflow tool designed to run analyses on WGS data from regular samples or tumour / normal pairs, including relapse samples if required. It's built using Nextflow, a bioinformatics domain specific language for workflow building. Software dependencies are handled using Docker or Singularity - container technologies that provide excellent reproducibility and ease of use. Singularity has been designed specifically for high-performance computing environments. This means that although Sarek has been primarily designed for use with the Swedish UPPMAX HPC systems, it should be able to run on any system that supports these two tools.




GenomicDataCommons - Provide R access to the NCI Genomic Data Commons portal.


The National Cancer Institute's (NCI's) Genomic Data Commons (GDC) is a data sharing platform that promotes precision medicine in oncology. It is not just a database or a tool; it is an expandable knowledge network supporting the import and standardization of genomic and clinical data from cancer research programs. The GDC contains NCI-generated data from some of the largest and most comprehensive cancer genomic datasets, including The Cancer Genome Atlas (TCGA) and Therapeutically Applicable Research to Generate Effective Therapies (TARGET). For the first time, these datasets have been harmonized using a common set of bioinformatics pipelines, so that the data can be directly compared.