TSI annotation workflows
This is part of a series of workflows to annotate a genome, tagged with TSI-annotation.
These workflows are based on command-line code by Luke Silver, converted into Galaxy Australia workflows.
The workflows can be run in this order:
- Repeat masking
- RNAseq QC and read trimming
- Find transcripts
- Combine transcripts
- Extract transcripts
- Convert formats
- Fgenesh annotation
-
Convert formats - TSI
- Added 6 months ago -
Fgenesh annotation -TSI
- Added 6 months ago -
Extract transcripts - TSI
- Added 6 months ago -
Combine transcripts - TSI
- Added 6 months ago -
Find transcripts - TSI
- Added 6 months ago -
QC and trimming of RNAseq reads - TSI
- Added 6 months ago -
Repeat masking - TSI
- Added 6 months ago
Views: 977
Created: 8th May 2024 at 08:30
Last updated: 8th May 2024 at 08:36
Tags AttributionsNone
Related items
https://orcid.org/0000-0002-9906-0673
The Australian BioCommons enhances digital life science research through world class collaborative distributed infrastructure. It aims to ensure that Australian life science research remains globally competitive, through sustained strategic leadership, research community engagement, digital service provision, training and support.
Teams: Australian BioCommons, QCIF Bioinformatics, Pawsey Supercomputing Research Centre, Sydney Informatics Hub, Janis, Melbourne Data Analytics Platform (MDAP), Galaxy Australia
Web page: https://www.biocommons.org.au/
The Australian BioCommons enhances digital life science research through world class collaborative distributed infrastructure. It aims to ensure that Australian life science research remains globally competitive, through sustained strategic leadership, research community engagement, digital service provision, training and support.
Space: Australian BioCommons
Public web page: https://www.biocommons.org.au/
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 ...
Space: Australian BioCommons
Public web page: https://usegalaxy.org.au/
