Literature DB >> 23479349

Galaxy LIMS for next-generation sequencing.

Jelle Scholtalbers1, Jasmin Rößler, Patrick Sorn, Jos de Graaf, Valesca Boisguérin, John Castle, Ugur Sahin.   

Abstract

SUMMARY: We have developed a laboratory information management system (LIMS) for a next-generation sequencing (NGS) laboratory within the existing Galaxy platform. The system provides lab technicians standard and customizable sample information forms, barcoded submission forms, tracking of input sample quality, multiplex-capable automatic flow cell design and automatically generated sample sheets to aid physical flow cell preparation. In addition, the platform provides the researcher with a user-friendly interface to create a request, submit accompanying samples, upload sample quality measurements and access to the sequencing results. As the LIMS is within the Galaxy platform, the researcher has access to all Galaxy analysis tools and workflows. The system reports requests and associated information to a message queuing system, such that information can be posted and stored in external systems, such as a wiki. Through an API, raw sequencing results can be automatically pre-processed and uploaded to the appropriate request folder. Developed for the Illumina HiSeq 2000 instrument, many features are directly applicable to other instruments.
AVAILABILITY AND IMPLEMENTATION: The code and documentation are available at http://tron-mainz.de/tron-facilities/computational-medicine/galaxy-lims/

Mesh:

Year:  2013        PMID: 23479349     DOI: 10.1093/bioinformatics/btt115

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  17 in total

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

Authors:  Rafael Hernández-de-Diego; Noemi Boix-Chova; David Gómez-Cabrero; Jesper Tegner; Imad Abugessaisa; Ana Conesa
Journal:  BMC Syst Biol       Date:  2014-03-13

2.  adLIMS: a customized open source software that allows bridging clinical and basic molecular research studies.

Authors:  Andrea Calabria; Giulio Spinozzi; Fabrizio Benedicenti; Erika Tenderini; Eugenio Montini
Journal:  BMC Bioinformatics       Date:  2015-06-01       Impact factor: 3.169

3.  SaDA: From Sampling to Data Analysis-An Extensible Open Source Infrastructure for Rapid, Robust and Automated Management and Analysis of Modern Ecological High-Throughput Microarray Data.

Authors:  Kumar Saurabh Singh; Dominique Thual; Roberto Spurio; Nicola Cannata
Journal:  Int J Environ Res Public Health       Date:  2015-06-03       Impact factor: 3.390

4.  SeqBench: integrated solution for the management and analysis of exome sequencing data.

Authors:  Andreas Dander; Stephan Pabinger; Michael Sperk; Maria Fischer; Gernot Stocker; Zlatko Trajanoski
Journal:  BMC Res Notes       Date:  2014-01-20

5.  Onco-STS: a web-based laboratory information management system for sample and analysis tracking in oncogenomic experiments.

Authors:  Mike Gavrielides; Simon J Furney; Tim Yates; Crispin J Miller; Richard Marais
Journal:  Source Code Biol Med       Date:  2014-12-05

6.  Personalized Oncology Suite: integrating next-generation sequencing data and whole-slide bioimages.

Authors:  Andreas Dander; Matthias Baldauf; Michael Sperk; Stephan Pabinger; Benjamin Hiltpolt; Zlatko Trajanoski
Journal:  BMC Bioinformatics       Date:  2014-09-18       Impact factor: 3.169

7.  SMITH: a LIMS for handling next-generation sequencing workflows.

Authors:  Francesco Venco; Yuriy Vaskin; Arnaud Ceol; Heiko Muller
Journal:  BMC Bioinformatics       Date:  2014-11-27       Impact factor: 3.169

8.  MendeLIMS: a web-based laboratory information management system for clinical genome sequencing.

Authors:  Susan M Grimes; Hanlee P Ji
Journal:  BMC Bioinformatics       Date:  2014-08-27       Impact factor: 3.169

Review 9.  WGS Analysis and Interpretation in Clinical and Public Health Microbiology Laboratories: What Are the Requirements and How Do Existing Tools Compare?

Authors:  Kelly L Wyres; Thomas C Conway; Saurabh Garg; Carlos Queiroz; Matthias Reumann; Kathryn Holt; Laura I Rusu
Journal:  Pathogens       Date:  2014-06-11

Review 10.  Translation of genomics-guided RNA-based personalised cancer vaccines: towards the bedside.

Authors:  V Boisguérin; J C Castle; M Loewer; J Diekmann; F Mueller; C M Britten; S Kreiter; Ö Türeci; U Sahin
Journal:  Br J Cancer       Date:  2014-10-14       Impact factor: 7.640

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