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Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be PacBio HiFi reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output a scaffolded primary assembliy and alternate contigs, with the complete QC analyses
Please run the workflows in order: WF0 (there are two, one for HiFi and one for Illumina HiC), WF1, WF2, WF3, WF4
EuCanImage FHIR ETL Implementation
This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.
- Code Language is written in Python 3.11. ...
Pipelines used by the genomes assembly teams part of the Biodiversity Genomics Europe project
Collection of Galaxy workflows for generating results used for creating ERGA-BGE Reports
For a given genome, two workflows should be run: the assembly evaluation (ASM analyses), and the annotation evaluation (ANNOT analyses)
Depending on the kind of data used for the genome assembly, you should choose HiFi or ONT (Illumina) workflows for ASM analyses
Workflows developed by or used by BY-COVID project.
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
eDNA Protocols for BGE (Biodiversity Genomics Europe) Work package 6, task 6.2
Collection of workflows designed to assembled a set of PacBio HiFi and Illumina HiC reads into a chromosome-scale de-novo assembly.
Development versions of these pipelines can be found in the ERGA github and any questions or queries can be raised on the ERGA Discussions Channel
Want to find out more about the work done by ERGA? Become a member ...
Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses
Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4
Maintainers: Diego De Panis
Number of items: 6
Tags: Assembly, Bioinformatics, Galaxy, Genomics, Genome assembly, ONT, illumina, Hi-C
Collection of de-novo genome assembly workflows written for implementation in Galaxy
Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads
Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses
Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4
Maintainers: Diego De Panis
Number of items: 6
Tags: Assembly, Bioinformatics, Galaxy, Genomics, Genome assembly, ONT, illumina, Hi-C