canonical record: https://zenodo.org/records/10405036
Source data (GSE182152) was analysed with WFHub:688 to generate these datasets
Creators: Helena Rasche, Iacopo Cristoferi, Marek Ostaszewski, Andrew Stubbs
Submitter: Helena Rasche
A R workflow for proteomics data analysis is reported. This pipeline was basing on protein expression projects, stored on the PRIDE database and reported on the COVID-19 Data portal. This is an R pipeline to analyze protein expression data, built on lung cell lines infected by SARS-CoV-2 variants: B.1, Delta, and Omicron BA.1 (Mezler et al. 2023) https://www.ebi.ac.uk/pride/archive/projects/PXD037265. This pipeline can obtain DEPs for each variant, starting from normalized protein expression ...
COVID-19: variation analysis on ARTIC PE data
The workflow for Illumina-sequenced ampliconic data builds on the RNASeq workflow for paired-end data using the same steps for mapping and variant calling, but adds extra logic for trimming amplicon primer sequences off reads with the ivar package. In addition, this workflow uses ivar also to identify amplicons affected by primer-binding site mutations and, if possible, excludes reads derived from such ...
Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA
Type: Galaxy
Creators: Iacopo Cristoferi, Helena Rasche, Clinical Bioinformatics Unit, Pathology Department, Eramus Medical Center
Submitter: Helena Rasche
This portion of the workflow produces sets of feature Counts ready for analysis by limma/etc.
Type: Galaxy
Creators: Iacopo Cristoferi, Helena Rasche, Clinical Bioinformatics Unit, Pathology Department, Eramus Medical Center
Submitter: Helena Rasche
Analyse Bulk RNA-Seq data in preparation for downstream Pathways analysis with MINERVA
The COVID-19 pandemic is the first global health crisis to occur in the age of big genomic data. Although data generation capacity is well established and sufficiently standardized, analytical capacity is not. To establish analytical capacity it is necessary to pull together global computational resources and deliver the best open source tools and analysis workflows within a ready to use, universally accessible resource. Such a resource should not be controlled by a single research group, ...