Workflows
What is a Workflow?Filters
Monte Carlo Pi Estimation Program Description
This program is a Monte Carlo simulation designed to estimate the value of Pi using PyCOMPSs.
Tasks in the Program
- Count Points in Circle Task (
count_points_in_circle
):
- Generates random points within a square with side length 1.
- Counts points falling within the inscribed circle (x^2 + y^2 <= 1).
- Input: Number of points to generate (num_points)
- Output: Tuple containing count of points within the circle and list of generated ...
Galaxy Workflow Documentation: MS Finder Pipeline
This document outlines a MSFinder Galaxy workflow designed for peak annotation. The workflow consists of several steps aimed at preprocessing MS data, filtering, enhancing, and running MSFinder.
Step 1: Data Collection and Preprocessing
Collect if the inchi and smiles are missing from the dataset, and subsequently filter out the spectra which are missing inchi and smiles.
1.1 MSMetaEnhancer: Collect InChi, Isomeric_smiles, and Nominal_mass
...
Type: Galaxy
Creators: Zargham Ahmad, Helge Hecht, Elliott J. Price, Research Infrastructure RECETOX RI (No LM2018121) financed by the Ministry of Education, Youth and Sports, and Operational Programme Research, Development and Innovation - project CETOCOEN EXCELLENCE (No CZ.02.1.01/0.0/0.0/17_043/0009632).
Submitters: Helge Hecht, Zargham Ahmad
Assembly and intrahost/low-frequency variant calling for viral samples
Type: Nextflow
Creators: Sarai Varona and Sara Monzon, Patel H, Varona S and Monzon S
Submitter: WorkflowHub Bot
Integration of viral sequences in genomic data
Taxonomic classification and profiling of shotgun metagenomic data
Type: Nextflow
Creators: James A. Fellows Yates, Sofia Stamouli, Moritz E. Beber, Lauri Mesilaakso, Thomas A. Christensen II, Jianhong Ou, Mahwash Jamy, Maxime Borry, Rafal Stepien, Tanja Normark
Submitter: WorkflowHub Bot
Small RNA-Seq Best Practice Analysis Pipeline.
Type: Nextflow
Creators: Phil Ewels <phil.ewels@scilifelab.se>, P. Ewels <phil.ewels@scilifelab.se>, P. Ewels, Chuan Wang <chuan.wang@scilifelab.se>, C. Wang <chuan.wang@scilifelab.se>, C. Wang, Rickard Hammarén <rickard.hammaren@scilifelab.se>, R. Hammarén <rickard.hammaren@scilifelab.se>, R. Hammarén, Lorena Pantano <lorena.pantano@gmail.com>, L. Pantano <lorena.pantano@gmail.com>, L. Pantano
Submitter: WorkflowHub Bot
SLAMseq analysis using Slamdunk with various T>C conversion quantifications and QC