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https://github.com/czbiohub-sf/nf-predictorthologs

*de novo* orthologous gene predictions from bam + bed or fasta/fastq data

https://github.com/czbiohub-sf/nf-predictorthologs

Science Score: 13.0%

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    Found 7 DOI reference(s) in README
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Repository

*de novo* orthologous gene predictions from bam + bed or fasta/fastq data

Basic Info
  • Host: GitHub
  • Owner: czbiohub-sf
  • License: mit
  • Language: Nextflow
  • Default Branch: dev
  • Size: 1.47 MB
Statistics
  • Stars: 4
  • Watchers: 5
  • Forks: 2
  • Open Issues: 23
  • Releases: 0
Archived
Created over 6 years ago · Last pushed almost 5 years ago
Metadata Files
Readme Changelog Contributing License Code of conduct

README.md

nf-core/predictorthologs

Predict de novo orthologous genes from differentially expressed translated protein sequences.

GitHub Actions CI Status GitHub Actions Linting Status Nextflow

install with bioconda Docker

Introduction

The pipeline is built using Nextflow, a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.

Workflow overview

Quick Start

i. Install nextflow

ii. Install either Docker or Singularity for full pipeline reproducibility (please only use Conda as a last resort; see docs)

iii. Download the pipeline and test it on a minimal dataset with a single command

bash nextflow run czbiohub/nf-predictorthologs -profile test,<docker/singularity/conda/institute>

Please check nf-core/configs to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use -profile <institute> in your command. This will enable either docker or singularity and set the appropriate execution settings for your local compute environment.

iv. Start running your own analysis!

bash nextflow run czbiohub/nf-predictorthologs -profile <docker/singularity/conda/institute> --reads '*_R{1,2}.fastq.gz' --genome GRCh37

See usage docs for all of the available options when running the pipeline.

Documentation

The nf-core/predictorthologs pipeline comes with documentation about the pipeline, found in the docs/ directory:

  1. Installation
  2. Pipeline configuration
  3. Running the pipeline
  4. Output and how to interpret the results
  5. Troubleshooting

Credits

nf-core/predictorthologs was originally written by Olga Botvinnik.

Contributions and Support

If you would like to contribute to this pipeline, please see the contributing guidelines.

For further information or help, don't hesitate to get in touch on Slack (you can join with this invite).

Citation

You can cite the nf-core publication as follows:

The nf-core framework for community-curated bioinformatics pipelines.

Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.

Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x.
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Owner

  • Name: Chan Zuckerberg Biohub San Francisco
  • Login: czbiohub-sf
  • Kind: organization
  • Location: San Francisco

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Dependencies

environment.yml pypi
  • sencha ==1.0.3