https://github.com/bioinfotongli/workflow-segmentation

https://github.com/bioinfotongli/workflow-segmentation

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.6%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: BioinfoTongLI
  • Language: Python
  • Default Branch: master
  • Size: 112 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 4 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

Prerequisites

Make sure nextflow, conda and singularity are in the PATH.

Quick start (lsf)

  1. git pull this repo
  2. Go to interactive session (you will need access to imaging queue): bsub -q imaging -n1 -M6000 -R"select[mem>6000] rusage[mem=6000]" -Is $SHELL
  3. Run bash [path-to-this-repo]/lsf_run [path-to-yaml-config], in a folder where you have write permission

Owner

  • Name: Tong LI
  • Login: BioinfoTongLI
  • Kind: user
  • Location: Hinxton
  • Company: Wellcome Sanger Institute

GitHub Events

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Dependencies

containers/Dockerfile docker
  • nvidia/cuda 11.2.0-cudnn8-runtime-ubuntu20.04 build