Mining CRISPRs in Environmental Datasets
MinCED is a bioinformatic program to find Clustered Regularly Interspaced Short Palindromic
Repeats (CRISPRs) in genomes or environmental datasets such as metagenomes,
in which sequence size can be anywhere from 100 to 800 bp. MinCED runs from the
command-line and was derived from CRT (CRISPR Recognition Tool).
The development of MinCED takes place at https://github.com/ctSkennerton/minced
Follow MinCED
Other Useful Business Software
Turn traffic into pipeline and prospects into customers
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of MinCED!