GenomeQC
GenomeQC evaluates genome assemblies and gene structure annotations to quantify assembly completeness, contiguity, and annotation quality for genomic analyses.
Key Features:
- Integration of Multiple Metrics: Integrates various quantitative measures to evaluate genome assembly quality and gene annotation accuracy.
- Benchmarking Capabilities: Benchmarks assemblies and annotations against publicly available reference genomes to assess completeness and contiguity.
- Comprehensive Summaries with Graphics: Generates descriptive summaries accompanied by graphics for visualization and interpretation of quality metrics.
- Optimization for Genome Size: Optimized for small to medium-sized genomes (<2.5 Gb).
- Pre-computed Results: Includes pre-computed results for several maize genomes.
- Implementation: Implemented using R/Shiny 1.5.9 and Python 3.6.
Scientific Applications:
- Genomic Diversity Analysis: Supports comparative assessments of genome assemblies for studies of genetic diversity.
- Gene Expression and Annotation Studies: Assists evaluation of gene structure annotations used in gene expression characterization across individuals or tissues.
- Assembly Quality Control for Downstream Analyses: Provides metrics to validate assemblies and annotations prior to downstream biological interpretation and analyses.
Methodology:
Calculates a set of common assembly and annotation quality metrics to gauge completeness and contiguity and compares those metrics against reference genomes.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- web application
- Programming Languages:
- R, Python
- Added:
- 1/9/2020
- Last Updated:
- 1/14/2021
Operations
Publications
Manchanda N, Portwood JL, Woodhouse MR, Seetharam AS, Lawrence-Dill CJ, Andorf CM, Hufford MB. GenomeQC: A quality assessment tool for genome assemblies and gene structure annotations. Unknown Journal. 2019. doi:10.1101/795237.
DOI: 10.1101/795237
Links
Repository
https://github.com/HuffordLab/GenomeQC