title: STATegra EMS: an Experiment Management System for complex next-generation omics experiments.
abstract: High-throughput sequencing assays are now routinely used to study different aspects of genome organization. As decreasing costs and widespread availability of sequencing enable more laboratories to use sequencing assays in their research projects, the number of samples and replicates in these experiments can quickly grow to several dozens of samples and thus require standardized annotation, storage and management of preprocessing steps. As a part of the STATegra project, we have developed an Experiment Management System (EMS) for high throughput omics data that supports different types of sequencing-based assays such as RNA-seq, ChIP-seq, Methyl-seq, etc, as well as proteomics and metabolomics data. The STATegra EMS provides metadata annotation of experimental design, samples and processing pipelines, as well as storage of different types of data files, from raw data to ready-to-use measurements. The system has been developed to provide research laboratories with a freely-available, integrated system that offers a simple and effective way for experiment annotation and tracking of analysis procedures.
authors.forename: Rafael
authors.initials: R
authors.lastname: Hernández-de-Diego
authors.forename: Noemi
authors.initials: N
authors.lastname: Boix-Chova
authors.forename: David
authors.initials: D
authors.lastname: Gómez-Cabrero
authors.forename: Jesper
authors.initials: J
authors.lastname: Tegner
authors.forename: Imad
authors.initials: I
authors.lastname: Abugessaisa
authors.forename: Ana
authors.initials: A
authors.lastname: Conesa
mesh_terms: D019295:Computational Biology / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D055432:Metabolomics; D040901:Proteomics; D012984:Software; D013223:Statistics as Topic