Posted on Fri 24 May 2024 in how-to • Tagged with workflows, bioinformatics, RNAseq
TLDR - Check out this github repo for the full example: https://github.com/groverj3/minimal_nextflow_samplesheet_example
I recently wrote an article regarding some of my opinions on bioinformatics workflow design. I've written workflows in several languages over the years, but at this point it seems that Nextflow has become something of …
Posted on Fri 26 April 2024 in commentary • Tagged with workflows, bioinformatics
Since I was in grad school I've been writing bioinformatics workflows. Usually to process NGS data. The concept of a workflow is simple, and not limited to the domain of bioinformatics. However, a workflow (aka "pipeline") used to analyze data from next generation sequencing (again, will it ever be "current …
Posted on Thu 22 August 2019 in commentary • Tagged with bioinformatics, python, workflows
In contrast to the zen of python there are actually many ways to handle sequence data in Python. There are several packages on PyPI that provide parsers for sequence formats like .fastq and .fasta. I've never bothered with these, including the oft-used Biopython. I vaguely remembered Biopython being slower than …
Posted on Mon 19 August 2019 in how-to • Tagged with bioinformatics, python, workflows, snakemake
Over the past few years the use of workflow managers in genomics and bioinformatics has grown greatly. This is a great thing for the field and adds to our ability to perform reproducible analyses, especially for pipelines with many steps. These are common in bioinformatics, but prior to the use …
Posted on Fri 09 August 2019 in commentary • Tagged with bioinformatics, thoughts, workflows
Bioinformatic analyses often require lengthy workflows or pipleines, where the output of program A feeds into program B, and so on. These programs may also not output their results in a format which is convenient to use in the subsequent steps, requiring writing a conversion script, or piping its output …
Posted on Tue 09 July 2019 in commentary • Tagged with bioinformatics, thoughts, rnaseq, workflows
When analyzing RNAseq you're faced with many possible analysis pipelines. The biggest decision you need to make is what the purpose of your experiment is. I will make the assumption that most of the time people want to determine which genes are differentially expressed between two samples, genotypes, conditions, etc …