Provenance and scientific workflows: challenges and opportunities
SB Davidson, J Freire - Proceedings of the 2008 ACM SIGMOD …, 2008 - dl.acm.org
Provenance in the context of workflows, both for the data they derive and for their
specification, is an essential component to allow for result reproducibility, sharing, and …
specification, is an essential component to allow for result reproducibility, sharing, and …
Iron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseases
DB Kell - BMC medical genomics, 2009 - Springer
Background The production of peroxide and superoxide is an inevitable consequence of
aerobic metabolism, and while these particular'reactive oxygen species'(ROSs) can exhibit a …
aerobic metabolism, and while these particular'reactive oxygen species'(ROSs) can exhibit a …
A survey on provenance: What for? What form? What from?
M Herschel, R Diestelkämper, H Ben Lahmar - The VLDB Journal, 2017 - Springer
Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …
which can be anything from a piece of digital data to a physical object. While this survey …
[HTML][HTML] Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python
K Gorgolewski, CD Burns, C Madison… - Frontiers in …, 2011 - frontiersin.org
Current neuroimaging software offer users an incredible opportunity to analyze their data in
different ways, with different underlying assumptions. Several sophisticated software …
different ways, with different underlying assumptions. Several sophisticated software …
[图书][B] Principles of data integration
Principles of Data Integration is the first comprehensive textbook of data integration,
covering theoretical principles and implementation issues as well as current challenges …
covering theoretical principles and implementation issues as well as current challenges …
The future of scientific workflows
Today's computational, experimental, and observational sciences rely on computations that
involve many related tasks. The success of a scientific mission often hinges on the computer …
involve many related tasks. The success of a scientific mission often hinges on the computer …
[PDF][PDF] DryadLINQ: A system for general-purpose distributed data-parallel computing using a high-level language
DryadLINQ is a system and a set of language extensions that enable a new programming
model for large scale distributed computing. It generalizes previous execution environments …
model for large scale distributed computing. It generalizes previous execution environments …
Taverna: a tool for building and running workflows of services
Taverna is an application that eases the use and integration of the growing number of
molecular biology tools and databases available on the web, especially web services. It …
molecular biology tools and databases available on the web, especially web services. It …
Finding related tables in data lakes for interactive data science
Many modern data science applications build on data lakes, schema-agnostic repositories
of data files and data products that offer limited organization and management capabilities …
of data files and data products that offer limited organization and management capabilities …
Dynamic QoS management and optimization in service-based systems
Service-based systems that are dynamically composed at runtime to provide complex,
adaptive functionality are currently one of the main development paradigms in software …
adaptive functionality are currently one of the main development paradigms in software …