Evidence map›Paper›PMID 29534677›Full record

ArticleBMC bioinformatics2018

Watchdog - a workflow management system for the distributed analysis of large-scale experimental data.

Michael Kluge, Caroline C Friedel

Abstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  11. nf-rnaSeqCount: A Nextflow pipeline for obtaining raw read counts from RNA-seq data.South African computer journal = Suid-Afrikaanse rekenaartydskrif · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Michael KlugeInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstraße 17, München, 80333, Germany.
Caroline C FriedelInstitute for Informatics, Ludwig-Maximilians-Universität München, Amalienstraße 17, München, 80333, Germany. caroline.friedel@bio.ifi.lmu.de.

Funding

Deutsche Forschungsgemeinschaft CRC 1123 (Z2)Deutsche Forschungsgemeinschaft FR2938/7-1
6 · The paper itself

Abstract

backgroundThe 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.

resultsIn this article, we present Watchdog, a WMS for the automated analysis of large-scale experimental data. Main features include straightforward processing of replicate data, support for distributed computer systems, customizable error detection and manual intervention into workflow execution. Watchdog is implemented in Java and thus platform-independent and allows easy sharing of workflows and corresponding program modules. It provides a graphical user interface (GUI) for workflow construction using pre-defined modules as well as a helper script for creating new module definitions. Execution of workflows is possible using either the GUI or a command-line interface and a web-interface is provided for monitoring the execution status and intervening in case of errors. To illustrate its potentials on a real-life example, a comprehensive workflow and modules for the analysis of RNA-seq experiments were implemented and are provided with the software in addition to simple test examples.

conclusionsWatchdog is a powerful and flexible WMS for the analysis of large-scale high-throughput experiments. We believe it will greatly benefit both users with and without programming skills who want to develop and apply bioinformatical workflows with reasonable overhead. The software, example workflows and a comprehensive documentation are freely available at www.bio.ifi.lmu.de/watchdog.

Indexed as

SoftwareVirus ReplicationWorkflowComputational BiologyHerpes SimplexHerpesvirus 1, HumanHigh-Throughput Nucleotide SequencingHumansRNAUser-Computer InterfaceRNAAutomated executionDistributed analysisHigh-throughput experimentsLarge-scale datasetsReproducibilityReusabilityRNA-seqWorkflow management system

Identifiers

PMID29534677
PMCPMC5850912

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.