SSFinder: High Throughput CRISPR-Cas Target Sites Prediction Tool | Zendy

Santosh Kumar Upadhyay | Zendy; Shailesh Sharma | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

SSFinder: High Throughput CRISPR-Cas Target Sites Prediction Tool

Author(s) -

Santosh Kumar Upadhyay,

Shailesh Sharma

Publication year - 2014

Publication title -

biomed research international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.772

H-Index - 126

eISSN - 2314-6141

pISSN - 2314-6133

DOI - 10.1155/2014/742482

Subject(s) - crispr , python (programming language) , computer science , palindrome , computational biology , genome editing , cas9 , throughput , genome , biology , genetics , operating system , gene , wireless

Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein (Cas) system facilitates targeted genome editing in organisms. Despite high demand of this system, finding a reliable tool for the determination of specific target sites in large genomic data remained challenging. Here, we report SSFinder, a python script to perform high throughput detection of specific target sites in large nucleotide datasets. The SSFinder is a user-friendly tool, compatible with Windows, Mac OS, and Linux operating systems, and freely available online.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research