دورية أكاديمية

Streamlining remote nanopore data access with slow5curl

التفاصيل البيبلوغرافية
العنوان: Streamlining remote nanopore data access with slow5curl
المؤلفون: Wong, Bonson, Ferguson, James M, Do, Jessica Y, Gamaarachchi, Hasindu, Deveson, Ira W
المساهمون: Australian Medical Research Futures Fund, Australian Research Council
المصدر: GigaScience ; volume 13 ; ISSN 2047-217X
بيانات النشر: Oxford University Press (OUP)
سنة النشر: 2024
مصطلحات موضوعية: Computer Science Applications, Health Informatics
الوصف: Background As adoption of nanopore sequencing technology continues to advance, the need to maintain large volumes of raw current signal data for reanalysis with updated algorithms is a growing challenge. Here we introduce slow5curl, a software package designed to streamline nanopore data sharing, accessibility, and reanalysis. Results Slow5curl allows a user to fetch a specified read or group of reads from a raw nanopore dataset stored on a remote server, such as a public data repository, without downloading the entire file. Slow5curl uses an index to quickly fetch specific reads from a large dataset in SLOW5/BLOW5 format and highly parallelized data access requests to maximize download speeds. Using all public nanopore data from the Human Pangenome Reference Consortium (>22 TB), we demonstrate how slow5curl can be used to quickly fetch and reanalyze raw signal reads corresponding to a set of target genes from each individual in large cohort dataset (n = 91), minimizing the time, egress costs, and local storage requirements for their reanalysis. Conclusions We provide slow5curl as a free, open-source package that will reduce frictions in data sharing for the nanopore community: https://github.com/BonsonW/slow5curlTest.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1093/gigascience/giae016
DOI: 10.1093/gigascience/giae016/57223567/giae016.pdf
الإتاحة: https://doi.org/10.1093/gigascience/giae016Test
حقوق: https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.B706EBC0
قاعدة البيانات: BASE