Anduril 2: upgraded large-scale data integration framework

Alejandra Cervera; Ville Rantanen; Kristian Ovaska; Marko Laakso; Javier Nuñez-Fontarnau; Amjad Alkodsi; Julia Casado; Chiara Facciotto; Antti Häkkinen; Riku Louhimo; Sirkku Karinen; Kaiyang Zhang; Kari Lavikka; Lauri Lyly; Maninder Pal Singh; Sampsa Hautaniemi

doi:10.1093/bioinformatics/btz133

Anduril 2: upgraded large-scale data integration framework

Bioinformatics. 2019 Oct 1;35(19):3815-3817. doi: 10.1093/bioinformatics/btz133.

Authors

Alejandra Cervera¹, Ville Rantanen¹, Kristian Ovaska¹, Marko Laakso¹, Javier Nuñez-Fontarnau², Amjad Alkodsi¹, Julia Casado¹, Chiara Facciotto¹, Antti Häkkinen¹, Riku Louhimo³, Sirkku Karinen¹, Kaiyang Zhang¹, Kari Lavikka¹, Lauri Lyly¹, Maninder Pal Singh¹, Sampsa Hautaniemi¹

Affiliations

¹ Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki.
² Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
³ Finnish Institute of Occupational Health, Helsinki, Finland.

PMID: 30793160
DOI: 10.1093/bioinformatics/btz133

Abstract

Summary: Anduril is an analysis and integration framework that facilitates the design, use, parallelization and reproducibility of bioinformatics workflows. Anduril has been upgraded to use Scala for pipeline construction, which simplifies software maintenance, and facilitates design of complex pipelines. Additionally, Anduril's bioinformatics repository has been expanded with multiple components, and tutorial pipelines, for next-generation sequencing data analysis.

Availabilityand implementation: Freely available at http://anduril.org.

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Data Analysis
High-Throughput Nucleotide Sequencing*
Reproducibility of Results
Software*
Workflow