Motivation: The rapid accumulation of both sequence and phenotype data generated by high-throughput methods has increased the need to store and analyze data on distributed storage and computing systems. Efficient data management across these heterogeneous systems requires a workflow management system to simplify the task of analysis through automation and make large-scale bioinformatics analyses accessible and reproducible. Results: We developed SciApps, a web-based platform for reproducible bioinformatics workflows. The platform is designed to automate the execution of modular Agave apps and support execution of workflows on local clusters or in a cloud. Two workflows, one for association and one for annotation, are provided as exemplar sc...
Background: An in-silico experiment can be naturally specified as a workflow of activities implement...
High-throughput technologies, such as next-generation sequencing, have turned molecular biology into...
Abstract The changing landscape of genomics research and clinical practice has created a need for co...
Background: The huge amount of biological information, its distribution over the Internet and the he...
SciApps1, a lightweight bioinformatics workflow system powered by the CyVerse infrastructure, uses t...
Information integration and workflow technologies for data analysis have always been major fields of...
Information integration and workflow technologies for data analysis have always been major fields of...
SciApps is an open-source, web-based platform for processing, storing, visualizing, and distributing...
Bioinformatics workflows connect software packages into multi-step processes that are used to transf...
With the rapid development in recent years of high-throughput technologies in the life sciences, hug...
Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data acces...
Biological, clinical, and pharmacological research now often involves analyses of genomes, transcrip...
Ever since high-throughput DNA sequencing became economically feasible, the amount of biological dat...
As bioinformatics datasets grow ever larger, and analyses become increasingly complex, there is a ne...
Background Reproducibility is one of the tenets of the scientific method. Scientific experiments ...
Background: An in-silico experiment can be naturally specified as a workflow of activities implement...
High-throughput technologies, such as next-generation sequencing, have turned molecular biology into...
Abstract The changing landscape of genomics research and clinical practice has created a need for co...
Background: The huge amount of biological information, its distribution over the Internet and the he...
SciApps1, a lightweight bioinformatics workflow system powered by the CyVerse infrastructure, uses t...
Information integration and workflow technologies for data analysis have always been major fields of...
Information integration and workflow technologies for data analysis have always been major fields of...
SciApps is an open-source, web-based platform for processing, storing, visualizing, and distributing...
Bioinformatics workflows connect software packages into multi-step processes that are used to transf...
With the rapid development in recent years of high-throughput technologies in the life sciences, hug...
Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data acces...
Biological, clinical, and pharmacological research now often involves analyses of genomes, transcrip...
Ever since high-throughput DNA sequencing became economically feasible, the amount of biological dat...
As bioinformatics datasets grow ever larger, and analyses become increasingly complex, there is a ne...
Background Reproducibility is one of the tenets of the scientific method. Scientific experiments ...
Background: An in-silico experiment can be naturally specified as a workflow of activities implement...
High-throughput technologies, such as next-generation sequencing, have turned molecular biology into...
Abstract The changing landscape of genomics research and clinical practice has created a need for co...