Datasnakes

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What We Do

We snake through bioinformatics topics using Python and R programming with the aim of reproducibility and scalability. Mainly, our focus is on creating R Shiny apps, Python libraries, command-line tools, and genomics pipelines.

Here are a few topics we're interested in:

  • RNA-seq analysis & visualization
  • Orthology inference
  • R package management and R environment management
  • Development of command-line tools for genomics pipelines
  • Improving the reproducibility of microbiome analysis

In October 2018, we participated in hackseq18 in which our project, beRi, was the winner!

GitHub Projects

Here are a few of our GitHub projects.

beRi

beRi is a set of Python packages which is composed of an R virtual environment manager (renv), an R installation manager (rinse), and an R utility tool for installing and managing R packages and R package libraries (rut).

OrthoEvolution

OrthoEvolution is an easy to use and comprehensive Python package which aids in the analysis and visualization of orthologous genes.

htseq-count-cluster

A Python CLI/wrapper for running multiple qsub jobs with HTSeq's htseq-count script on a SGE/SGI cluster.

The Datasnakes

Portrait of Robert Gilmore

Robert Gilmore

Biomedical Engineer, Software Developer, & Datasnakes Co-founder

Portrait of Shaurita Hutchins

Shaurita Hutchins

PhD Candidate in Genetics, Genomics, and Bioinformatics & Datasnakes Co-founder

Portrait of Santina Lin

Santina Lin

Backend Engineer at Ramp & Scientist-Turned-Engineer

Portrait of Bruno Grande

Bruno Grande, Ph.D.

Senior Software Engineer & hackseq Co-founder

Feel free to email us at datasnakes@gmail.com for information about our current team projects or for a consultation.