@article{watchdog,
  AUTHOR = {Kluge, Michael
and Friedel, Caroline C.},
  TITLE = {Watchdog - a workflow management system for the distributed analysis of large-scale experimental data},
  JOURNAL = {BMC Bioinformatics},
  YEAR = {2018},
  volume = {19},
  number = {97},
  month = {Mar},
  doi = {10.1186/s12859-018-2107-4},
  abstract = {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 mutually dependent steps applied to numerous samples for multiple conditions and replicates. To support these analyses, a number of workflow management systems (WMSs) have been developed to allow automated execution of corresponding analysis workflows. Major advantages of WMSs are the easy reproducibility of results as well as the reusability of workflows or their components.},
  pdf = {http://rdcu.be/IZ5E},
  url = {https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2107-4},
  url1 = {https://www.bio.ifi.lmu.de/watchdog},
  url2 = {https://github.com/klugem/watchdog},
}