MultiGuideScan

MultiGuideScan accelerates design of CRISPR/Cas9 guide RNA libraries for genome editing by implementing multiprocessing to address computational challenges in large genomes.


Key Features:

  • Multiprocessing Capability: Implements multiprocessing parallelization to distribute computational tasks across multiple processors.
  • Speed Improvement: Achieves approximately 9–12× speed improvements in 32-process mode.
  • Efficiency for Large Genomes: Handles large genomic datasets, including both coding and non-coding regions, for comprehensive library design.
  • GuideScan Foundation: Builds upon the foundational principles and algorithms of GuideScan.

Scientific Applications:

  • Systematic functional genomics: Enables systematic exploration of genomic functions using CRISPR/Cas9 screening approaches.
  • Targeted library design: Supports design of guide RNA libraries tailored to specific coding and non-coding genomic regions.
  • Basic and applied research: Facilitates generation of libraries for basic gene-function studies and applied therapeutic-intervention research.

Methodology:

Parallelizes GuideScan's computational workflow by distributing tasks across multiple processors, producing ~9–12× speedups in a 32-process mode.

Topics

Details

License:
Other
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Python
Added:
8/11/2019
Last Updated:
6/16/2020

Operations

Publications

Li T, Wang S, Luo F, Wu F, Wang J. MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries. Bioinformatics. 2019;36(3):920-921. doi:10.1093/bioinformatics/btz616.

Funding: - National Key R&D Program of China: 2018YFC0910504 - Natural Science Foundation of China: 61420106009, 61622213, 61732009, B18059 - Hunan Provincial Science and Technology Program: 2018WK4001

Documentation

Links