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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
Published on: August 25, 2018
RESCRIPt: Reproducible sequence taxonomy reference database management
Michael S Robeson1, Devon R O'Rourke2, Benjamin D Kaehler3
1University of Arkansas for Medical Sciences, Department of Biomedical Informatics, Little Rock, Arkansas, United States of America.
RESCRIPt software democratizes reference database creation for microbiome, eDNA, and genome studies. It enables reproducible generation and management of sequence databases, improving research transparency and comparability.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Nucleotide sequence and taxonomy reference databases are essential for microbiome analysis, metabarcoding, and environmental DNA (eDNA) surveys.
- Generating, managing, and evaluating these databases present significant challenges, hindering reproducibility and cross-study comparisons due to varying database compositions.
Purpose of the Study:
- To develop a robust software package (RESCRIPt) for reproducible generation and management of reference sequence taxonomy databases.
- To provide tools for evaluating, comparing, and exploring characteristics of different reference databases.
Main Methods:
- Developed RESCRIPt, a Python 3 software package and QIIME 2 plugin.
- Implemented functions for streamlined database creation from popular sources.
- Included functionalities for database evaluation, comparison, and interactive exploration.
Main Results:
- Demonstrated RESCRIPt's utility with popular databases (SILVA, Greengenes, NCBI-RefSeq, GTDB, BOLD, GenBank) for various applications.
- Showcased that database size is not the sole determinant of quality; standardized taxonomies and type strain focus offer advantages.
- Found that curation (quality filtering) benefits databases, while sequence clustering can be detrimental.
Conclusions:
- RESCRIPt empowers researchers to reproducibly and transparently create custom reference databases.
- The software addresses bottlenecks in database management, enhancing the reliability of microbiome, eDNA, and genomic analyses.
- RESCRIPt facilitates standardized and reproducible research workflows across diverse biological applications.
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