Flow: a web platform and open database to analyse, store, curate and share bioinformatics data at scale

bioRxiv (Cold Spring Harbor Laboratory)(2023)

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摘要
Ever-increasing volumes of sequencing data offer potential for large-scale meta-analyses to address significant biological questions. However, challenges such as insufficient data processing information, data quality concerns, and issues related to accessibility and curation often present obstacles. Additionally, most experimental biologists lack the time and expertise needed to independently analyse, manage and share their own data. To overcome these hurdles, we present Flow, a web-based platform that links bioinformatic analysis and database solutions with a user-friendly interface and web API. Flow currently accommodates a range of genomics methods and further DSL2-compliant Nextflow pipelines can be added via a simple JSON schema file. Deployable on local systems or cloud services, an instance is freely accessible to academic researchers at . ### Competing Interest Statement Sam Ireland and Alex Harston are co-founders of Goodwright Ltd, and Charlotte Capitanchik works part time for Goodwright Ltd. Whilst the instance of Flow described in this manuscript is freely available, Goodwright also deploys paid-for instances of Flow on customer's own hardware, or on the Cloud.
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关键词
bioinformatics database,open database,web platform,analyse
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