htrnaseq

v0.15.0-rc.2

A workflow for high-throughput RNA-seq data analyses.

Overview

Components (18)

Releases (38)

create_eset

R

MIT

create_fdata

Create a fdata file

Python

MIT

create_pdata

Create a pdata file by combining the mapping statistics

Python

MIT

check_eset

This component test the ExpressionSet object as output by the main pipeline.

R

MIT

check_cutadapt_output

This component test the cutadapt output from the well_demultiplex subworkflow.

Python

MIT

publish_fastqs

Publish the fastq files per well

Bash

MIT

publish_results

Publish the results

Bash

MIT

htrnaseq v0.15.0-rc.2

parallel_map

Map wells in batch, using STAR
Spliced Transcripts Alignment to a Reference (C) Alexander Dobin
https://github.com/alexdobin/STAR

Bash

MIT

create_report

Create a basic QC report in HTML format based on a number of esets.

R

MIT

combine_star_logs

Python

MIT

Collaborate Accelerate Succeed

Empower your organization with secure, scalable workflow solutions that simplify development, ensure compliance, and drive innovation.

Viash Hub is a platform developed by Data Intuitive, a Belgian-based bioinformatics company specializing in data workflow development and deployment.

CatalogueLaunchPrivacy PolicyTerms of Service