Watchdog – a workflow management system for the distributed analysis of large-scale experimental data
Abstract Background The development of high-throughput experimental technologies, such as next-generation sequencing, have led to new challenges for handling, analyzing and integrating the resulting large and diverse datasets. Bioinformatical analysis of these data commonly requires a number of mutu...
Main Authors: | Michael Kluge, Caroline C. Friedel |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-03-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2107-4 |
Similar Items
-
A Data-Aware Scheduling Strategy for Executing Large-Scale Distributed Workflows
by: Salvatore Giampa, et al.
Published: (2021-01-01) -
Mining workflow processes from distributed workflow enactment event logs
by: Kwanghoon Pio Kim
Published: (2012-12-01) -
On the Support of Scientific Workflows over Pub/Sub Brokers
by: Edwin Cedeño, et al.
Published: (2013-08-01) -
Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems
by: Farrukh Nadeem, et al.
Published: (2019-01-01) -
Integrated workflows for spiking neuronal network simulations
by: Ján eAntolík, et al.
Published: (2013-12-01)