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Masood Zaka's Projects

deepvariant icon deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

evofreq icon evofreq

Evolutionary frequency visualization tool of temporal data

examples-r icon examples-r

Analysis examples based on the ISB-CGC hosted TCGA data, using R and R Markdown.

firebrowser icon firebrowser

An R client for broads firehose pipeline, providing TCGA data sets

fishplot icon fishplot

Create timecourse "fish plots" that show changes in the clonal architecture of tumors

gatk icon gatk

Official code repository for GATK versions 4 and up

ginkgo icon ginkgo

Cloud-based single-cell copy-number variation analysis tool

hadoop-bam icon hadoop-bam

Hadoop-BAM is a Java library for the manipulation of files in common bioinformatics formats using the Hadoop MapReduce framework

hmftools icon hmftools

Various utility tools for working with genomics data

mlr icon mlr

mlr: Machine Learning in R

pyclone icon pyclone

Probabilistic model for inferring clonal population structure from deep NGS sequencing.

pysyft icon pysyft

A library for encrypted, privacy preserving machine learning

readdepth icon readdepth

R package for inferring copy number from read depth

rna-seq-qc icon rna-seq-qc

Rna-seq pipeline, From FASTQ to differential expression analysis...

rnaseq_tutorial icon rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

scclust icon scclust

Package: Segmentation and Clustering of Single Cell Sequencing Copy Number Profiles

sciclone icon sciclone

An R package for inferring the subclonal architecture of tumors

scnv icon scnv

Single-cell Genome-wide CNV profiling

seurat icon seurat

R toolkit for single cell genomics

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