Workflows
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Continuous flexibility analysis of SARS-CoV-2 Spike prefusion structures
SAMBA is a FAIR scalable workflow integrating, into a unique tool, state-of-the-art bioinformatics and statistical methods to conduct reproducible eDNA analyses using Nextflow. SAMBA starts processing by verifying integrity of raw reads and metadata. Then all bioinformatics processing is done using commonly used procedure (QIIME 2 and DADA2) but adds new steps relying on dbOTU3 and microDecon to build high quality ASV count tables. Extended statistical analyses are also performed. Finally, SAMBA ...
Type: Nextflow
Creators: Cyril Noel, Alexandre Cormier, Laura Leroi, Patrick Durand, Laure Quintric
Submitter: Cyril Noel
This repository contains the workflow used to find and characterize the HI sources in the data cube of the SKA Data Challenge 2. It was developed to process a simulated SKA data cube data cube, but can be adapted for clean HI data cubes from other radio observatories.
The workflow is managed and executed using snakemake workflow management system. It uses https://spectral-cube.readthedocs.io/en/latest/ based on ...
ORSON combine state-of-the-art tools for annotation processes within a Nextflow pipeline: sequence similarity search (PLAST, BLAST or Diamond), functional annotation retrieval (BeeDeeM) and functional prediction (InterProScan). When required, BUSCO completness evaluation and eggNOG Orthogroup annotation can be activated. While ORSON results can be analyzed through the command-line, it also offers the possibility to be compatible with BlastViewer or Blast2GO graphical tools.
Type: Nextflow
Creators: Cyril Noel, Alexandre Cormier, Patrick Durand, Laura Leroi, Pierre Cuzin
Submitter: Patrick Durand
Metagenomic dataset taxonomic classification using kraken2
Metagenomic dataset taxonomic classification using kraken2
Workflow for Spliced RNAseq data Steps:
- workflow_quality.cwl:
- FastQC (Read Quality Control)
- fastp (Read Trimming)
- STAR (Read mapping)
- featurecounts (transcript read counts)
- kallisto (transcript [pseudo]counts)
Workflow for NonSpliced RNAseq data with multiple aligners.
Steps:
- workflow_quality.cwl:
- FastQC (control)
- fastp (trimming)
- bowtie2 (read mapping)
- sam_to_sorted-bam
- featurecounts (transcript read counts)
- kallisto (transcript [pseudo]counts)
Amplicon analysis workflow using NG-Tax
Steps:
- Quality control on the reads
- Execute NGTax for ASV detection and classification
For more information about NG-Tax 2.0 have a look at https://doi.org/10.3389/fgene.2019.01366
Type: Common Workflow Language
Creators: Jasper Koehorst, Bart Nijsse, Jesse van Dam, Peter Schaap,
Submitter: Jasper Koehorst