Workflows
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Gene_fetch
This tool fetches gene sequences from NCBI databases based on taxonomy IDs (taxids) or taxonomic information. It can retrieve both protein and nucleotide sequences for various genes, including protein-coding genes (e.g., cox1, cytb, rbcl, matk) and rRNA genes (e.g., 16S, 18S).
Feature highlight
- Fetch protein and/or nucleotide sequences from NCBI GenBank database.
- Handles both direct nucleotide sequences and protein-linked nucleotide searches (CDS extraction includes fallback ...
Gene_fetch
This tool fetches gene sequences from NCBI databases based on taxonomy IDs (taxids) or taxonomic information. It can retrieve both protein and nucleotide sequences for various genes, including protein-coding genes (e.g., cox1, cytb, rbcl, matk) and rRNA genes (e.g., 16S, 18S).
Feature highlight
- Fetch protein and/or nucleotide sequences from NCBI GenBank database.
- Handles both direct nucleotide sequences and protein-linked nucleotide searches (CDS extraction includes fallback ...
Type: Nextflow
Creators: Christopher Mohr, Alexander Peltzer, Sven Fillinger
Submitter: WorkflowHub Bot
gSpreadComp: Streamlining Microbial Community Analysis for Resistance, Virulence, and Plasmid-Mediated Spread
Overview
gSpreadComp is a UNIX-based, modular bioinformatics toolkit designed to streamline comparative genomics for analyzing microbial communities. It integrates genome annotation, gene spread calculation, plasmid-mediated horizontal gene transfer (HGT) detection and resistance-virulence ranking within the analysed microbial community to help researchers identify potential ...
COMPSs Matrix Multiplication resourceUsage profiling example.
MN5 MSIZE=20 BSIZE=768 7 Nodes (6 workers) (--num_nodes=7 --worker_in_master_cpus=0).
- Total number of tasks: 20^3 = 8000
- Maximum code parallelism: 20^2 = 400
- Total cores: 112*6 = 672
- Maximum utilisation: 400 / 112 = 3,57 Nodes
Overall stats from "pycompss inspect":
│ └── overall
│ ├── matmul_tasks
│ │ └── multiply
│ │ ├── maxTime = 91,111 ms
│ │ ├── executions = 8,000
│ │ ├── avgTime = 84,839 ms
│ │ └── minTime = 79,278 ms
...
Application that perform the multiplication between matrices. In this experiment, a new profiling visualization is available, showing the resource usage such as CPU, memory, data read and written to disk, and data sent and received over the network.
Complete multiplex tissue image (MTI) analysis pipeline for tissue microarray (TMA) data imaged using cyclic immunofluorescence: Performs illumination correction, stitching and registration, and tissue microarray segmentation. Tissue-segmented images undergo nuclear segmentation, cell/nuclei feature quantification (mean marker intensities, cell coordinates, and morphological features), and cell phenotyping. Produces outputs that are compatible with downstream single-cell/spatial analysis and ...
Code for the high risk autism phenotype paper
Much of the code in this repo originated from ASD High Risk Endophenotype Code Supplement and was written by Sebastian Urchs and Hien Nguyen.
Data availability
All data to reproduce the analysis can be downloaded from
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