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  • šŸ‘‹ Hi, Iā€™m @preetida
  • šŸ‘€ Iā€™m interested in Cancer genomics, microbial genomics
  • šŸŒ± Iā€™m currently learning Machine Learning techniques for cell assignments in scRNA
  • šŸ’žļø Iā€™m looking to collaborate on similar areas.
  • šŸ“« How to reach me [email protected]

Pretty 's Projects

awesome-single-cell icon awesome-single-cell

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

cre icon cre

excel report generation using data from bcbio variant2 germline pipeline

ctalign icon ctalign

ccfDNA Alignment pipeline with UMI calling. Snakemake workflow designed to align fastq reads, and call consensus on the barcoded reads tagged with UMI

data-sciene_notes- icon data-sciene_notes-

šŸ“¢ Ready to learn! you will learn 10 skills as data scientist:šŸ“š Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.

evop2020 icon evop2020

Python in 2 days for EVOP 2020 in Berlin

maskid icon maskid

Masks the genotype variants sites in FastQ reads

mosdepth icon mosdepth

fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

single-cell-tutorial icon single-cell-tutorial

Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

somalier icon somalier

sample-swap checking directly on BAMs/CRAMs for cancer data

trajectorynet icon trajectorynet

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

webinars icon webinars

Training material based on webinar events

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