CasCollect
CasCollect performs targeted assembly and annotation of Cas genes and CRISPR arrays directly from unassembled raw Illumina sequencing reads to detect and characterize CRISPR/Cas systems in isolate and metagenomic data.
Key Features:
- Targeted assembly and annotation: Performs targeted assembly and annotation of Cas genes and CRISPR arrays, including isolated arrays, from unassembled raw Illumina sequencing reads.
- Enhanced efficiency: Achieves assembly throughput reported as almost two orders of magnitude faster than conventional methods while maintaining detection accuracy for Cas genes and CRISPR arrays.
- Versatility and customization: Supports targeted assembly of arbitrary specialty gene sets and can be reconfigured to incorporate custom Hidden Markov Models (HMMs) or reference nucleotide sequences.
- Metagenomic applicability: Operates on metagenomic data to facilitate discovery of novel Cas genes from complex microbial communities.
Scientific Applications:
- Bacteriophage therapy research: Identifies CRISPR/Cas systems that inform pathogen susceptibility to bacteriophage therapy.
- Gene-editing discovery: Facilitates identification of novel Cas genes with properties relevant to gene-editing applications, particularly from metagenomic datasets.
- Study of microbial adaptive immunity: Enables exploration of adaptive immune systems in bacteria and archaea that defend against bacteriophages, plasmids, and foreign nucleic acids.
Methodology:
Processes unassembled raw Illumina sequencing reads, performs targeted assembly and annotation of Cas genes and CRISPR arrays (including isolated arrays), and supports incorporation of user-supplied Hidden Markov Models (HMMs) or reference nucleotide sequences; the approach is optimized for accelerated assembly.
Topics
Details
- License:
- BSD-2-Clause
- Tool Type:
- command-line tool, workflow
- Programming Languages:
- Python, Perl
- Added:
- 3/19/2021
- Last Updated:
- 3/21/2021
Operations
Publications
Podlevsky JD, Hudson CM, Timlin JA, Williams KP. CasCollect: targeted assembly of CRISPR-associated operons from high-throughput sequencing data. NAR Genomics and Bioinformatics. 2020;2(3). doi:10.1093/nargab/lqaa063. PMID:33575613. PMCID:PMC7671303.