Workflows
What is a Workflow?Filters
This workflow creates an count matrix anndata file given 10x scATAC-seq data.
Associated Tutorial
This workflows is part of the tutorial Pre-processing of 10X Single-Cell ATAC-seq Datasets, available in the GTN
Features
- Includes Galaxy Workflow Tests ...
pb_variants
A snakemake 9 based Pipeline for hifi snp, sv, cnv calling, phasing and more
Only PacBio data for now
!!THIS PIPLINE IS IN-DEVELOPMENT AND EXPERIMENTAL, USE AT YOUR OWN RISK!!
what this tool aims to deliver:
- newest and best tools suited for HiFi data (only for now)
- singletons and trio analysis (trio is coming sometime...)
- human-first (hg38 for now), others should be possible (untested...)
included tools:
- deepvariant or bcftools for snp calling
- snps get used for ...
Domestication of new parts and cloning simulation
Add new parts to your sequences before the cloning simulation and interact with the database.
input:
- input: csv file (without header) : The CSV file should contain the constraints line by line in the first column, along with their associated fragments on each line. This data will be passed to the seq_from_DB tool.
- JSON parameters file (optional) : The JSON file should contain the the parameters used in workflow tools. If this ...
Cloning simulation workflow for sequences present in DB
Run the GoldenGate cloning simulation for a list of constructs in a CSV file and interact with a database
inputs:
- Assmbly Plan (without header) : The CSV file should contain the constraints line by line in the first column, along with their associated fragments on each line. This data will be passed to the seq_from_DB tool.
- JSON parameters file (optional) : The JSON file should contain the the parameters used in workflow ...
📄 Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings
This repository contains the code used for the experiments in the paper:
Generalizable machine learning models for rapid antimicrobial resistance prediction in unseen healthcare settings by Diane Duroux, Paul P. Meyer, Giovanni Visonà, and Niko Beerenwinkel.
⚙️ Install the dependencies
You can set up the project with either pip or uv.
Option A - pip:
Install the ...
[DTC-T1] WF6101: Tsunami impact forecasting
This repository contains a Common Workflow Language (CWL) and Ro-Crate metadata definition for DTC-T1 workflow 6101, which is designed for providing tsunami impact forecasting following a tsunamigenic earthquake event, based on a probabilistic approach. The workflow integrates real-time earthquake data, runs HPC simulations, and generates tsunami hazard maps.
The main CWL implementation is found in WF6101.cwl, together with ST610106 and ST610109 ...
The workflow DT-AGEF4 will produce seismic hazard maps related to the nearfuture anthropogenic seismicity (induced or triggered seismicity). The anthropogenic seismicity hazard maps will be related to the time-varying technological factors. The rationales behind the proposed workflow are (Lasocki, S., Proc. Sixth Int. Symp. on Rockburst and Seismicity in Mines, 2005; Lasocki, S. and Orlecka-Sikora, B., Tectonophys., 2008; Orlecka-Sikora, B., Tectonophys., 2008; Lasocki, S., Rockburst Mechanisms, ...
The workflow will primarily focus on estimation of the maximum magnitude using various deterministic and statistical models available in the literature. The workflow consists of 5 steps. The first four steps belong to the CB-AGEF1 and ultimately aim at creation of the advanced seismic catalog. The last 5th step (belonging to the CBAGEF3-1) takes the available hydraulic data and advanced seismicity catalog derived in steps 1-4 and performs the actual assessment of the maximum magnitude. Step 1 is ...
The advanced earthquake catalog is built from existing applications on the EPISODES platform (steps 1, 3, 4) and a newly developed application for phase association (step 2) and an application for catalog homogenization (step 5).