Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality
- Author(s)
- Gigante, S;
- Journal Title
- F1000Res
- Publication Type
- Journal Article
- Abstract
- Oxford Nanopore Technologies' (ONT) MinION and PromethION long-read sequencing technologies are emerging as genuine alternatives to established Next-Generation Sequencing technologies. A combination of the highly redundant file format and a rapid increase in data generation have created a significant problem both for immediate data storage on MinION-capable laptops, and for long-term storage on lab data servers. We developed Picopore, a software suite offering three methods of compression. Picopore's lossless and deep lossless methods provide a 25% and 44% average reduction in size, respectively, without removing any data from the files. Picopore's raw method provides an 88% average reduction in size, while retaining biologically relevant data for the end-user. All methods have the capacity to run in real-time in parallel to a sequencing run, reducing demand for both immediate and long-term storage space.
- Publisher
- F1000
- Research Division(s)
- Bioinformatics
- PubMed ID
- 28413619
- Publisher's Version
- https://doi.org/10.12688/f1000research.11022.1
- Open Access at Publisher's Site
https://f1000research.com/articles/6-227/v2- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2017-05-02 03:01:25
Last Modified: 2017-05-03 02:09:23