Team II Gene Prediction Group: Difference between revisions
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===='''Prokaryotic Genome'''==== | ===='''Prokaryotic Genome'''==== | ||
Prokaryotic Genomes have a high gene density and do not contain introns in their protein-coding regions. Genes are called Open Reading Frames or “ORFs” (include start & stop codon). | |||
Prediction of prokaryotic genes tends to be relatively simpler with contiguous ORFs. However, overlapping ORFs and short genes can cause issues. ''Each gene is an ORF, but not every ORF is a gene.'' | |||
=='''Homology Methods'''== | =='''Homology Methods'''== |
Revision as of 14:37, 23 February 2020
Team 2: Gene Prediction
Team Members: Danielle Temples, Kara Lee, Paarth Parekh, Shuting Lin
Introduction
Our Project
Purpose: Investigate an unknown outbreak pathogen using raw genome sequence data from the Centers for Disease Control and Prevention (CDC) foodborne illness surveillance outbreak investigations
Overall Objective: Identify and characterize the pathogenic organism, make recommendations for the outbreak control, and build a public webserver that automates the computational steps
Our Objective: From assembled genomes, predict genes or features using different prediction methods and evaluate selected tools on their accuracy and performance
What is Gene Prediction?
Identification of the regions of genomic DNA that encode genes, which are fragments of DNA that encodes a functional molecule:
- Protein-coding genes
- RNA genes
- May also include other functional elements (i.e. regulatory regions)
Prokaryotic Genome
Prokaryotic Genomes have a high gene density and do not contain introns in their protein-coding regions. Genes are called Open Reading Frames or “ORFs” (include start & stop codon).
Prediction of prokaryotic genes tends to be relatively simpler with contiguous ORFs. However, overlapping ORFs and short genes can cause issues. Each gene is an ORF, but not every ORF is a gene.