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Teams: MGnify, nf-core, Workflow Hub Administration, Galaxy COVID-19, Testing, Defragmentation training school
Organizations: University of Manchester, Working from Home
Teams: Testing
Organizations: Swiss Institute of Bioinformatics
https://orcid.org/0000-0003-1361-7301Teams: Defragmentation training school
Organizations: University of Muenster
https://orcid.org/0000-0003-4906-6724Teams: Australian BioCommons Dev, Testing team
Organizations: SAM
https://orcid.org/0000-0001-6665-3395Teams: Submission Tutorial
Organizations: University of Edinburgh
Space: General
Public web page: Not specified
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Space: General
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Space: General
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To try out workflow hub
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The images are two time points of a time lapse experiment where the INCENP gene was subjected to siRNA knock-down. The data are taken from the published mitocheck screen. In this screen the authors carried out a genome-wide phenotypic profiling of each of the ~21,000 human protein-coding genes by two-day live imaging of fluorescently labelled chromosomes.
Creator: yi.sun@embl.de
Submitter: yi.sun@embl.de
Abstract (Expand)
Authors: D. Holtig, G. Reiner
Date Published: 2nd Mar 2022
Publication Type: Journal
PubMed ID: 35235982
Citation: Tierarztl Prax Ausg G Grosstiere Nutztiere. 2022 Feb;50(1):46-58. doi: 10.1055/a-1751-3531. Epub 2022 Mar 2.
Abstract
Authors: E. Rohmann, M. Wellenbrock, S. Hoffmann
Date Published: 1st Sep 1979
Publication Type: Journal
PubMed ID: 513515
Citation: Kinderarztl Prax. 1979 Sep;47(9):475-82.
Abstract (Expand)
Authors: M. R. Keighley, P. Asquith, J. A. Edwards, J. Alexander-Williams
Date Published: 1st Oct 1975
Publication Type: Journal
PubMed ID: 123
Citation: Br J Surg. 1975 Oct;62(10):845-9. doi: 10.1002/bjs.1800621024.
Abstract
Authors: Newcomer M, Hubbard S
Date Published: No date defined
Publication Type: Journal
DOI: 10.21952/1508397
Citation:
Abstract
Editor:
Date Published: No date defined
Publication Type: Journal
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Creator: Finn Bacall
Submitter: Finn Bacall
Detecting a set of objects in an image, counting them and measuring certain characteristics about their morphology is probably the most frequently occurring task in bioimage analysis. Depending on the image, even this task could become quite challenging and the workflow could become quite complex. Here we start with a relatively simple image where combining a minimal set of image analysis components into a simple workflow does the job.
Analyze differential isoform expression
Associated Tutorial
This workflows is part of the tutorial Genome-wide alternative splicing analysis, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy Workflow ...
Associated Tutorial
This workflows is part of the tutorial Ecoregionalization workflow tutorial, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Uses Galaxy Workflow Comments ...
Classification in Machine Learning
Associated Tutorial
This workflows is part of the tutorial Classification in Machine Learning, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a [Galaxy Workflow ...
ERGA post-assembly QC
Associated Tutorial
This workflows is part of the tutorial ERGA post-assembly QC, available in the GTN
Features
- Includes Galaxy Workflow Tests
- Includes a Galaxy Workflow Report ...