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Jillian Rowe

Jillian Rowe

Deploy your RShiny App on AWS Series - Lightsail

Deploy your RShiny App on AWS Series - Lightsail

If your head is spinning over which deployment scenario to choose for your RShiny app look no further! I have a whole series planned out for you on various deployment options and why you should choose each one. Why should you use AWS Lightsail for RShiny Deployment? Deployment scenarios are

Setup a Bioinformatics Demultiplex Server from Scratch

Setup a Bioinformatics Demultiplex Server from Scratch

Install Demultiplex Software Installing demultiplexing such as bcl2fastq, CellRanger, LongRanger, demuxlet, and whatever else pops up, holds a special place in those that do Bioinformatics and Genomics hearts and potential support groups. It has been enough of an issue in my professional life that I thought I would dedicate a

AWS Elastic Compute Clusters for Genomics

AWS Elastic Compute Clusters for Genomics

Amazon Web Services (AWS) gives you the ability to build out all kinds of cool infrastructure. Databases, web servers,Kubernetes backed applications, Spark clusters, machine learning models, and even High-Performance Computing Clusters with AWS ParallelCluster. Not just clusters, but Elastic Clusters! One of the cooler aspects of using a cloud

Deploy HPC Modules From Bioconda Packages

Deploy HPC Modules From Bioconda Packages

I have been working in Bioinformatics for nearly 10 years, mostly on the computational side of things. I have spent a lot of that time building and installing software. Some of those wounds will never heal! Luckily, along cameAnaconda, the scientific distribution of Python, along with the awesome BioConda who

Dask Tips and Tricks – HighLevelGraphs

Dask Tips and Tricks – HighLevelGraphs

For those of you who have written MPI, this is kind of like that, except you don't have to write MPI!If you would like to know more about basic Dask syntax, check out my blog post on Parallelizing For Loops with Dask. Dask Syntax Normally when using

Dask Tips and Tricks – Parallelize a For Loop

Dask Tips and Tricks – Parallelize a For Loop

If you're in the scientific computing space there's a good chance you've used Python. A relatively recent addition to the family of awesome libraries in Python for Scientific Computing isDask. It is a super cool library that allows you to parallelize your code with

Dask on HPC

Dask on HPC

Recently I saw that Dask, a distributed Python library, created some really handy wrappers for running Dask projects on a High-Performance Computing Cluster, HPC. Most people who use HPC are pretty well versed in technologies like MPI, and just generally abusing multiple compute nodes all at once, but I think