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Genome Annotation and Assembly

Genome Annotation and Assembly

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 Video

Updated: Apr 21, 2026

Chromatin Immunoprecipitation of Murine Brown Adipose Tissue

Chromatin Immunoprecipitation of Murine Brown Adipose Tissue

Published on: November 21, 2018

Comprehensive assessment of transcriptome assembly quality using CATS.

Kristian Bodulić^1,2, Kristian Vlahoviček³

¹Department for Bioinformatics and Statistics, University Hospital for Infectious Diseases "Dr. Fran Mihaljević", Zagreb, Croatia.

Nature Communications

|April 19, 2026

Summary

This summary is machine-generated.

Accurate transcriptome assembly quality is crucial for reliable transcriptomic analysis. The new CATS (Comprehensive Assessment of Transcript Sequences) tool provides robust reference-free and reference-based evaluation pipelines for assessing transcriptome quality.

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Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Transcriptome assembly quality is vital for downstream transcriptomic analyses.
Existing tools may lack comprehensive or interpretable quality assessment methods.

Purpose of the Study:

To introduce CATS (Comprehensive Assessment of Transcript Sequences), a novel tool for transcriptome quality evaluation.
To provide both reference-free and reference-based pipelines for assessing assembly accuracy and completeness.

Main Methods:

CATS offers a reference-free pipeline (CATS-rf) that maps RNA-seq reads to assembled transcripts to identify assembly errors.
CATS provides a reference-based pipeline (CATS-rb) for assessing transcriptome completeness through genome alignment, supporting annotation-free and annotation-based scoring.
The tool was benchmarked on 1056 transcriptomes using simulated and public RNA-seq data.

Main Results:

CATS-rf demonstrated superior performance in transcript-level accuracy assessment compared to existing tools, showing high sensitivity to various assembly errors.
CATS-rb provided reliable transcriptome completeness estimates, even without external annotation, with scores correlating strongly with assembly quality.
Benchmarking confirmed CATS's effectiveness across a large dataset.

Conclusions:

CATS is an accurate, interpretable, and versatile framework for evaluating transcriptome assemblies.
The tool enhances the reliability of transcriptomic analyses by ensuring high-quality transcriptome assemblies.
CATS offers significant improvements in both reference-free and reference-based transcriptome quality assessment.