The SeqSelector toolset is a suite of user-friendly, platform independent python scripts to facilitate selection of sequences for targeted enrichment of next-generation libraries through hybridization-based sequence capture. The scripts require no knowledge of programming, and can be applied to genome sequences of model or non-model species. We suggest a workflow in which genes of interest are first identified from previous studies and publicly available datasets of functional gene annotation. Once a list of candidate genes has been identified, their sequences are selected from the reference genome. These sequences are used as a query during a BLAST search of the unannotated genome of a non-model species, and then the corresponding sequences are returned, which can be used to design baits for hybridization-based sequence capture.

Project Activity

See All Activity >

Categories

Bio-Informatics

Follow SeqSelector

SeqSelector Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of SeqSelector!

Additional Project Details

Programming Language

Python

Related Categories

Python Bio-Informatics Software

Registered

2013-12-24