English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The management of scientific experiments has been supported by Scientific Workflow Systems (SWS). However, result data analysis still presents difficulties due to the volume and heterogeneity of data generated. To assist in the experiment analysis, SWS capture provenance data that track workflow execution data. Nevertheless, the analysis task may be not simple since it requires user expertise in query languages and the modeling of the provenance data to carry out the analysis. To support these issues, this paper proposes the BioSciCumulus Portal to facilitate scientific workflow submission in the bioinformatics domain in High Performance Computing (HPC) environments and data analysis, without the need for the user to configure the HPC environment or to specify their analyses via query language syntax.

BioSciCumulus: um portal para análise de dados de proveniência em workflows de biologia computacional