Literature DB >> 25033091

STATegra EMS: an Experiment Management System for complex next-generation omics experiments.

Rafael Hernández-de-Diego, Noemi Boix-Chova, David Gómez-Cabrero, Jesper Tegner, Imad Abugessaisa, Ana Conesa.   

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.

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Year:  2014        PMID: 25033091      PMCID: PMC4101697          DOI: 10.1186/1752-0509-8-S2-S9

Source DB:  PubMed          Journal:  BMC Syst Biol        ISSN: 1752-0509


  19 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  VSQual: a visual system to assist DNA sequencing quality control.

Authors:  Eliseu Binneck; João Flávio V Silva; Norman Neumaier; José Renato B Farias; Alexandre L Nepomuceno
Journal:  Genet Mol Res       Date:  2004-12-30

Review 3.  The minimum information about a proteomics experiment (MIAPE).

Authors:  Chris F Taylor; Norman W Paton; Kathryn S Lilley; Pierre-Alain Binz; Randall K Julian; Andrew R Jones; Weimin Zhu; Rolf Apweiler; Ruedi Aebersold; Eric W Deutsch; Michael J Dunn; Albert J R Heck; Alexander Leitner; Marcus Macht; Matthias Mann; Lennart Martens; Thomas A Neubert; Scott D Patterson; Peipei Ping; Sean L Seymour; Puneet Souda; Akira Tsugita; Joel Vandekerckhove; Thomas M Vondriska; Julian P Whitelegge; Marc R Wilkins; Ioannnis Xenarios; John R Yates; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2007-08       Impact factor: 54.908

4.  MADMAX - Management and analysis database for multiple ~omics experiments.

Authors:  Ke Lin; Harrie Kools; Philip J de Groot; Anand K Gavai; Ram K Basnet; Feng Cheng; Jian Wu; Xiaowu Wang; Arjen Lommen; Guido J E J Hooiveld; Guusje Bonnema; Richard G F Visser; Michael R Muller; Jack A M Leunissen
Journal:  J Integr Bioinform       Date:  2011-07-21

5.  Galaxy LIMS for next-generation sequencing.

Authors:  Jelle Scholtalbers; Jasmin Rößler; Patrick Sorn; Jos de Graaf; Valesca Boisguérin; John Castle; Ugur Sahin
Journal:  Bioinformatics       Date:  2013-03-11       Impact factor: 6.937

6.  Genome-wide analyses of transcription factor GATA3-mediated gene regulation in distinct T cell types.

Authors:  Gang Wei; Brian J Abraham; Ryoji Yagi; Raja Jothi; Kairong Cui; Suveena Sharma; Leelavati Narlikar; Daniel L Northrup; Qingsong Tang; William E Paul; Jinfang Zhu; Keji Zhao
Journal:  Immunity       Date:  2011-08-26       Impact factor: 31.745

7.  SLIMS--a user-friendly sample operations and inventory management system for genotyping labs.

Authors:  Thea Van Rossum; Ben Tripp; Denise Daley
Journal:  Bioinformatics       Date:  2010-05-30       Impact factor: 6.937

8.  PIMS sequencing extension: a laboratory information management system for DNA sequencing facilities.

Authors:  Peter V Troshin; Vincent Lg Postis; Denise Ashworth; Stephen A Baldwin; Michael J McPherson; Geoffrey J Barton
Journal:  BMC Res Notes       Date:  2011-03-07

9.  From sequencer to supercomputer: an automatic pipeline for managing and processing next generation sequencing data.

Authors:  Terry Camerlengo; Hatice Gulcin Ozer; Raghuram Onti-Srinivasan; Pearlly Yan; Tim Huang; Jeffrey Parvin; Kun Huang
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2012-03-19

10.  An integrated encyclopedia of DNA elements in the human genome.

Authors: 
Journal:  Nature       Date:  2012-09-06       Impact factor: 49.962

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  8 in total

1.  Computational challenges in modeling gene regulatory events.

Authors:  Abhijeet Pataskar; Vijay K Tiwari
Journal:  Transcription       Date:  2016-07-08

2.  Ten Simple Rules for Experiments' Provenance.

Authors:  Toni Kazic
Journal:  PLoS Comput Biol       Date:  2015-10-20       Impact factor: 4.475

3.  The eBioKit, a stand-alone educational platform for bioinformatics.

Authors:  Rafael Hernández-de-Diego; Etienne P de Villiers; Tomas Klingström; Hadrien Gourlé; Ana Conesa; Erik Bongcam-Rudloff
Journal:  PLoS Comput Biol       Date:  2017-09-14       Impact factor: 4.475

4.  A feature selection strategy for gene expression time series experiments with hidden Markov models.

Authors:  Roberto A Cárdenas-Ovando; Edith A Fernández-Figueroa; Héctor A Rueda-Zárate; Julieta Noguez; Claudia Rangel-Escareño
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

Review 5.  Computational Oncology in the Multi-Omics Era: State of the Art.

Authors:  Guillermo de Anda-Jáuregui; Enrique Hernández-Lemus
Journal:  Front Oncol       Date:  2020-04-07       Impact factor: 6.244

Review 6.  Data Integration Challenges for Machine Learning in Precision Medicine.

Authors:  Mireya Martínez-García; Enrique Hernández-Lemus
Journal:  Front Med (Lausanne)       Date:  2022-01-25

Review 7.  Data integration in the era of omics: current and future challenges.

Authors:  David Gomez-Cabrero; Imad Abugessaisa; Dieter Maier; Andrew Teschendorff; Matthias Merkenschlager; Andreas Gisel; Esteban Ballestar; Erik Bongcam-Rudloff; Ana Conesa; Jesper Tegnér
Journal:  BMC Syst Biol       Date:  2014-03-13

Review 8.  The metaRbolomics Toolbox in Bioconductor and beyond.

Authors:  Jan Stanstrup; Corey D Broeckling; Rick Helmus; Nils Hoffmann; Ewy Mathé; Thomas Naake; Luca Nicolotti; Kristian Peters; Johannes Rainer; Reza M Salek; Tobias Schulze; Emma L Schymanski; Michael A Stravs; Etienne A Thévenot; Hendrik Treutler; Ralf J M Weber; Egon Willighagen; Michael Witting; Steffen Neumann
Journal:  Metabolites       Date:  2019-09-23
  8 in total

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