The automated Prokaryotic Annotation Pipeline was developed to generate on demand ORF prediction and functional annotation for prokaryotic genomes. A round of non-coding RNA prediction is done using various tools such as tRNA-scanSE and BLAST. Gene finding is done using a self-training, iterated glimmer3 analysis. The predicted genes are then analyzed for overlaps, and homology based evidence is gathered using a system of hidden markov model search and BLAST. Roles and gene symbols are assigned to the predictions based on the above analyses, common names, GO terms, and EC numbers. The genes are also translated and run through transcript level computes, including a COG analysis, motif finding, and peptide signal identification. The pipeline produces a functionally annotated genome, including RNAs and various genome characteristics, creating a stepping stone for further analysis.

Project Activity

See All Activity >

Follow JCVI Prokaryotic Annotation Pipeline

JCVI Prokaryotic Annotation Pipeline Web Site

You Might Also Like
Find out just how much your login box can do for your customer | Auth0 Icon
Find out just how much your login box can do for your customer | Auth0

With over 53 social login options, you can fast-track the signup and login experience for users.

From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of JCVI Prokaryotic Annotation Pipeline!

Additional Project Details

Registered

2014-04-17