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SLIMS—a user-friendly sample operations and inventory management system for genotyping labs
Summary: We present the Sample-based Laboratory Information Management System (SLIMS), a powerful and user-friendly open source web application that provides all members of a laboratory with an interface to view, edit and create sample information. SLIMS aims to simplify common laboratory tasks with...
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2894515/ https://www.ncbi.nlm.nih.gov/pubmed/20513665 http://dx.doi.org/10.1093/bioinformatics/btq271 |
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author | Van Rossum, Thea Tripp, Ben Daley, Denise |
author_facet | Van Rossum, Thea Tripp, Ben Daley, Denise |
author_sort | Van Rossum, Thea |
collection | PubMed |
description | Summary: We present the Sample-based Laboratory Information Management System (SLIMS), a powerful and user-friendly open source web application that provides all members of a laboratory with an interface to view, edit and create sample information. SLIMS aims to simplify common laboratory tasks with tools such as a user-friendly shopping cart for subjects, samples and containers that easily generates reports, shareable lists and plate designs for genotyping. Further key features include customizable data views, database change-logging and dynamically filled pre-formatted reports. Along with being feature-rich, SLIMS' power comes from being able to handle longitudinal data from multiple time-points and biological sources. This type of data is increasingly common from studies searching for susceptibility genes for common complex diseases that collect thousands of samples generating millions of genotypes and overwhelming amounts of data. LIMSs provide an efficient way to deal with this data while increasing accessibility and reducing laboratory errors; however, professional LIMS are often too costly to be practical. SLIMS gives labs a feasible alternative that is easily accessible, user-centrically designed and feature-rich. To facilitate system customization, and utilization for other groups, manuals have been written for users and developers. Availability: Documentation, source code and manuals are available at http://genapha.icapture.ubc.ca/SLIMS/index.jsp. SLIMS was developed using Java 1.6.0, JSPs, Hibernate 3.3.1.GA, DB2 and mySQL, Apache Tomcat 6.0.18, NetBeans IDE 6.5, Jasper Reports 3.5.1 and JasperSoft's iReport 3.5.1. Contact: denise.daley@hli.ubc.ca |
format | Text |
id | pubmed-2894515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28945152010-07-01 SLIMS—a user-friendly sample operations and inventory management system for genotyping labs Van Rossum, Thea Tripp, Ben Daley, Denise Bioinformatics Applications Note Summary: We present the Sample-based Laboratory Information Management System (SLIMS), a powerful and user-friendly open source web application that provides all members of a laboratory with an interface to view, edit and create sample information. SLIMS aims to simplify common laboratory tasks with tools such as a user-friendly shopping cart for subjects, samples and containers that easily generates reports, shareable lists and plate designs for genotyping. Further key features include customizable data views, database change-logging and dynamically filled pre-formatted reports. Along with being feature-rich, SLIMS' power comes from being able to handle longitudinal data from multiple time-points and biological sources. This type of data is increasingly common from studies searching for susceptibility genes for common complex diseases that collect thousands of samples generating millions of genotypes and overwhelming amounts of data. LIMSs provide an efficient way to deal with this data while increasing accessibility and reducing laboratory errors; however, professional LIMS are often too costly to be practical. SLIMS gives labs a feasible alternative that is easily accessible, user-centrically designed and feature-rich. To facilitate system customization, and utilization for other groups, manuals have been written for users and developers. Availability: Documentation, source code and manuals are available at http://genapha.icapture.ubc.ca/SLIMS/index.jsp. SLIMS was developed using Java 1.6.0, JSPs, Hibernate 3.3.1.GA, DB2 and mySQL, Apache Tomcat 6.0.18, NetBeans IDE 6.5, Jasper Reports 3.5.1 and JasperSoft's iReport 3.5.1. Contact: denise.daley@hli.ubc.ca Oxford University Press 2010-07-15 2010-05-30 /pmc/articles/PMC2894515/ /pubmed/20513665 http://dx.doi.org/10.1093/bioinformatics/btq271 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Van Rossum, Thea Tripp, Ben Daley, Denise SLIMS—a user-friendly sample operations and inventory management system for genotyping labs |
title | SLIMS—a user-friendly sample operations and inventory management system for genotyping labs |
title_full | SLIMS—a user-friendly sample operations and inventory management system for genotyping labs |
title_fullStr | SLIMS—a user-friendly sample operations and inventory management system for genotyping labs |
title_full_unstemmed | SLIMS—a user-friendly sample operations and inventory management system for genotyping labs |
title_short | SLIMS—a user-friendly sample operations and inventory management system for genotyping labs |
title_sort | slims—a user-friendly sample operations and inventory management system for genotyping labs |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2894515/ https://www.ncbi.nlm.nih.gov/pubmed/20513665 http://dx.doi.org/10.1093/bioinformatics/btq271 |
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