This work provides an efficient tool (QcReads) for trimming adapter sequences and low quality sequences, in raw reads generated by the high throughput sequencing platforms. This will help to make use of data sequenced from poorly constructed DNA/cDNA libraries. The mapping ratios increase remarkably after QcReads trimming.
Citation: Ma, Y., Xie, H., Han, X., Irwin, D.M., and Zhang, Y.P. (2013). QcReads: an adapter and quality trimming tool for next-generation sequencing reads. J Genet Genomics 40, 639-642.

Project Activity

See All Activity >

Follow QcReads

QcReads Web Site

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

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of QcReads!

Additional Project Details

Registered

2013-11-06