Workflows
What is a Workflow?Filters
Swedish Earth Biogenome Project - Genome Assembly Workflow
The primary genome assembly workflow for the Earth Biogenome Project at NBIS.
Workflow overview
General aim:
flowchart LR
hifi[/ HiFi reads /] --> data_inspection
ont[/ ONT reads /] --> data_inspection
hic[/ Hi-C reads /] --> data_inspection
data_inspection[[ Data inspection ]] --> preprocessing
preprocessing[[ Preprocessing ]] --> assemble
assemble[[ Assemble ]] --> validation
validation[[ Assembly
...
Secondary metabolite biosynthetic gene cluster (SMBGC) Annotation using Neural Networks Trained on Interpro Signatures
Scaffolding with Bionano
Scaffolding using Bionano optical map data
Inputs
- Bionano data [cmap]
- Estimated genome size [txt]
- Phased assembly generated by Hifiasm [gfa1]
Outputs
- Scaffolds
- Non-scaffolded contigs
- QC: Assembly statistics
- QC: Nx plot
- QC: Size plot
RiboSnake: 16S rRNA analysis workflow with QIIME2 and Snakemake
Qiime2 workflow for 16S analysis created with snakemake.
Authors
- Ann-Kathrin Dörr (@AKBrueggemann)
Usage
If you use this workflow in a paper, don't forget to give credits to the authors ...
Name: Random Forest Contact Person: [email protected] Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum4 This is an example of Random Forest algorithm from dislib. To show the usage, the code generates a synthetical input matrix. The results are printed by screen. This application used dislib-0.9.0
Name: GridSearchCV Contact Person: [email protected] Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum5
GridSearch of kNN algorithm for the iris.csv dataset (https://gist.githubusercontent.com/netj/8836201/raw/6f9306ad21398ea43cba4f7d537619d0e07d5ae3/iris.csv). This application used dislib-0.9.0
Name: GridSearchCV Contact Person: [email protected] Access Level: public License Agreement: Apache2 Platform: COMPSs Machine: MareNostrum5
GridSearch of kNN algorithm for the iris.csv dataset (https://gist.githubusercontent.com/netj/8836201/raw/6f9306ad21398ea43cba4f7d537619d0e07d5ae3/iris.csv). This application used dislib-0.9.0
This workflow
- Reconstruct phylogeny (insert fragments in a reference)
- Alpha rarefaction analysis
- Taxonomic analysis
Type: Galaxy
Creators: Debjyoti Ghosh, Helmholtz-Zentrum für Umweltforschung - UFZ
Submitter: WorkflowHub Bot
This workflow takes a cell-type-annotated AnnData object (processed with SnapATAC2) and performs peak calling with MACS3 on the cell types. Next, a cell-by-peak matrix is constructed and differential accessibility tests are performed for comparison of either two cell types or one cell type with a background of all other cells. Lastly, differentially accessible marker regions for each cell type are identified.
This Workflow takes a dataset collection of single-cell ATAC-seq fragments and performs:
- preprocessing
- filtering
- concatenation
- dimension reduction
- batch correction (with Harmony and optionally Scanorama and MNC-correct)
- leiden clustering
- new SnapATAC2 version: from 2.5.3 to 2.6.4
Tests