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Masood Zaka's Projects

acnviewer icon acnviewer

Comprehensive genome-wide visualization of absolute copy number and copy neutral variations

awesome-single-cell icon awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

bin icon bin

General-purpose repository for bioinformatics scripts

bioinformatics_docker_app icon bioinformatics_docker_app

This docker app is collection of some of the most popular software currently being used in the analysis of next generation sequencing data.

circos icon circos

Circos is a software package for visualizing data and information. It visualizes data in a circular layout — this makes Circos ideal for exploring relationships between objects or positions.

clonevol icon clonevol

Inferring and visualizing clonal evolution in multi-sample cancer sequencing

clustersploter icon clustersploter

visualize genome features cluster(gene or other) and add synteny or crosslink among features or short/long reads mapping or snpindel or structural variants in vcf

cnvscope icon cnvscope

CNVScope: Visually Exploring Copy Number Aberrations in Cancer Genomes

coloncancerwgbs icon coloncancerwgbs

Six paired tumor-normal WGBS samples from Ziller et al. (2013) PMID: 23925113. Only chr22.

copycat icon copycat

a parallel R package for detecting copy-number alterations from short sequencing reads

create-pptc-pdx-oncoprints icon create-pptc-pdx-oncoprints

As part of an overall strategy for improving therapies for childhood cancers, the PPTC seeks to develop models for the types of tumors that will be encountered in early phase clinical testing by establishing patient derived xenografts (PDXs) from high-risk childhood cancers refractory to current standard of care treatments. Genomic profiling of these models is required to enable PPTC investigators to develop robust "responder hypotheses" when drug activity is observed. With funding provided by Alex's Lemonade Stand Foundation, we genomically characterize a major subset of 286 PDX models. We use whole exome sequencing, transcriptome sequencing, and SNPArray to characterize the tumor models. The focus on DNA and RNA sequencing data mirrors the current standard practice in most clinical diagnostics lab that use these technologies to detect the spectrum of targetable mutations, gene amplifications, and gene fusion events relevant to preclinical drug development.

csbb-v3.0 icon csbb-v3.0

CSBB - Computational Suite For Bioinformaticians and Biologists

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