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Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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Related Experiment Videos

What a catch! traits that define good annotators.

Tyler B Forbush¹, Shuying Shen, Brett R South

¹VA Salt Lake City Heath Care System, Salt Lake City, UT, USA.

Studies in Health Technology and Informatics

|August 8, 2013

Summary

Identifying the best human annotators for biomedical informatics research involves assessing domain expertise and key traits. A structured hiring process ensures selection of skilled individuals for high-quality chart review and annotation.

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Area of Science:

Biomedical Informatics
Medical Data Analysis
Clinical Research Informatics

Background:

Human annotation and chart review are critical in biomedical informatics.
Selecting qualified annotators with specific expertise is challenging.
The University of Utah employs a team of reviewers with medical and linguistic backgrounds.

Purpose of the Study:

To identify key traits of high-quality human annotators in biomedical informatics.
To develop an effective hiring process for selecting skilled reviewers.
To ensure the selection of individuals with the necessary skill set for specific annotation projects.

Main Methods:

Developed a hiring process including interviews and knowledge testing.
Assessed candidates' medical and linguistic knowledge.
Utilized annotation exercises on realistic medical text to evaluate performance.

Main Results:

Identified 10 key traits in reviewers who excel at quick and high-quality annotation.
The hiring process effectively assesses desired traits and skills.
The methodology allows for targeted selection of reviewers based on project needs.

Conclusions:

A comprehensive hiring process is crucial for selecting optimal human annotators in biomedical informatics.
Assessing both domain expertise and specific traits leads to improved annotation quality and efficiency.
The developed strategy supports the efficient acquisition of skilled personnel for medical chart review and data annotation.