SEEK ID: https://workflowhub.eu/people/118
Location: Netherlands
ORCID: https://orcid.org/0000-0001-9760-8992
Joined: 31st Mar 2021
Expertise: Not specified
Tools: Not specified
Related items
Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biological research.
- Accessible: Users can easily run tools without writing code or using the CLI; all via a user-friendly web interface.
- Reproducible: Galaxy captures all the metadata from an analysis, making it completely reproducible.
- Transparent: Users share and publish analyses via interactive pages that can enhance analyses with user annotations.
- Scalable: Galaxy can run ...
Teams: Galaxy Training Network
Web page: https://galaxyproject.org/
The BeYond-COVID project (BY-COVID) aims to make COVID-19 data accessible to scientists in laboratories but also to anyone who can use it, such as medical staff in hospitals or government officials.
Pursuing to go beyond SARS-CoV-2 data, the project will serve as the groundwork to make data from other infectious diseases open and accessible to everyone.
The BY-COVID project strives to simplify data access and reuse through four key ‘pillars’:
- Mobilise data: ensuring ...
Teams: BY-COVID Baseline Use Case: SARS-CoV-2 Vaccine(s) effectiveness in preventing SARS-CoV-2 infection, BY-COVID (general)
Web page: https://by-covid.org/
The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
Organisms: Homo sapiens, SARS-CoV-2
Team for general BY-COVID contributions
Space: BeYond-COVID (BY-COVID)
Public web page: Not specified
Organisms: Not specified
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
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
To discover causal mutations of inherited diseases it’s common practice to do a trio analysis. In a trio analysis DNA is sequenced of both the patient and parents. Using this method, it’s possible to identify multiple inheritance patterns. Some examples of these patterns are autosomal recessive, autosomal dominant, and de-novo variants, which are represented in the figure below. To elaborate, the most left tree shows an autosomal dominant inhertitance pattern where the offspring inherits a faulty ...