Literature DB >> 17709339

A Laboratory Information Management System (LIMS) for a high throughput genetic platform aimed at candidate gene mutation screening.

C Voegele1, S V Tavtigian, D de Silva, S Cuber, A Thomas, F Le Calvez-Kelm.   

Abstract

UNLABELLED: High throughput mutation screening in an automated environment generates large data sets that have to be organized and stored reliably. Complex multistep workflows require strict process management and careful data tracking. We have developed a Laboratory Information Management Systems (LIMS) tailored to high throughput candidate gene mutation scanning and resequencing that respects these requirements. Designed with a client/server architecture, our system is platform independent and based on open-source tools from the database to the web application development strategy. Flexible, expandable and secure, the LIMS, by communicating with most of the laboratory instruments and robots, tracks samples and laboratory information, capturing data at every step of our automated mutation screening workflow. An important feature of our LIMS is that it enables tracking of information through a laboratory workflow where the process at one step is contingent on results from a previous step. AVAILABILITY: Script for MySQL database table creation and source code of the whole JSP application are freely available on our website: http://www-gcs.iarc.fr/lims/. SUPPLEMENTARY INFORMATION: System server configuration, database structure and additional details on the LIMS and the mutation screening workflow are available on our website: http://www-gcs.iarc.fr/lims/

Mesh:

Year:  2007        PMID: 17709339     DOI: 10.1093/bioinformatics/btm365

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


  11 in total

1.  A Comprehensive IT Infrastructure for an Enzymatic Product Development in a Digitalized Biotechnological Laboratory.

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2.  Rare, evolutionarily unlikely missense substitutions in ATM confer increased risk of breast cancer.

Authors:  Sean V Tavtigian; Peter J Oefner; Davit Babikyan; Anne Hartmann; Sue Healey; Florence Le Calvez-Kelm; Fabienne Lesueur; Graham B Byrnes; Shu-Chun Chuang; Nathalie Forey; Corinna Feuchtinger; Lydie Gioia; Janet Hall; Mia Hashibe; Barbara Herte; Sandrine McKay-Chopin; Alun Thomas; Maxime P Vallée; Catherine Voegele; Penelope M Webb; David C Whiteman; Suleeporn Sangrajrang; John L Hopper; Melissa C Southey; Irene L Andrulis; Esther M John; Georgia Chenevix-Trench
Journal:  Am J Hum Genet       Date:  2009-09-24       Impact factor: 11.025

3.  Rare mutations in RINT1 predispose carriers to breast and Lynch syndrome-spectrum cancers.

Authors:  Daniel J Park; Kayoko Tao; Florence Le Calvez-Kelm; Tu Nguyen-Dumont; Nivonirina Robinot; Fleur Hammet; Fabrice Odefrey; Helen Tsimiklis; Zhi L Teo; Louise B Thingholm; Erin L Young; Catherine Voegele; Andrew Lonie; Bernard J Pope; Terrell C Roane; Russell Bell; Hao Hu; Chad D Huff; Jonathan Ellis; Jun Li; Igor V Makunin; Esther M John; Irene L Andrulis; Mary B Terry; Mary Daly; Saundra S Buys; Carrie Snyder; Henry T Lynch; Peter Devilee; Graham G Giles; John L Hopper; Bing-Jian Feng; Fabienne Lesueur; Sean V Tavtigian; Melissa C Southey; David E Goldgar
Journal:  Cancer Discov       Date:  2014-05-02       Impact factor: 39.397

4.  Transforming microbial genotyping: a robotic pipeline for genotyping bacterial strains.

Authors:  Brian O'Farrell; Jana K Haase; Vimalkumar Velayudhan; Ronan A Murphy; Mark Achtman
Journal:  PLoS One       Date:  2012-10-29       Impact factor: 3.240

5.  Rare, evolutionarily unlikely missense substitutions in CHEK2 contribute to breast cancer susceptibility: results from a breast cancer family registry case-control mutation-screening study.

Authors:  Florence Le Calvez-Kelm; Fabienne Lesueur; Francesca Damiola; Maxime Vallée; Catherine Voegele; Davit Babikyan; Geoffroy Durand; Nathalie Forey; Sandrine McKay-Chopin; Nivonirina Robinot; Tù Nguyen-Dumont; Alun Thomas; Graham B Byrnes; John L Hopper; Melissa C Southey; Irene L Andrulis; Esther M John; Sean V Tavtigian
Journal:  Breast Cancer Res       Date:  2011-01-18       Impact factor: 6.466

6.  A novel SOD1-ALS mutation separates central and peripheral effects of mutant SOD1 toxicity.

Authors:  Peter I Joyce; Philip Mcgoldrick; Rachele A Saccon; William Weber; Pietro Fratta; Steven J West; Ning Zhu; Sarah Carter; Vinaya Phatak; Michelle Stewart; Michelle Simon; Saumya Kumar; Ines Heise; Virginie Bros-Facer; James Dick; Silvia Corrochano; Macdonnell J Stanford; Tu Vinh Luong; Patrick M Nolan; Timothy Meyer; Sebastian Brandner; David L H Bennett; P Hande Ozdinler; Linda Greensmith; Elizabeth M C Fisher; Abraham Acevedo-Arozena
Journal:  Hum Mol Genet       Date:  2014-12-02       Impact factor: 6.150

7.  RAD51 and breast cancer susceptibility: no evidence for rare variant association in the Breast Cancer Family Registry study.

Authors:  Florence Le Calvez-Kelm; Javier Oliver; Francesca Damiola; Nathalie Forey; Nivonirina Robinot; Geoffroy Durand; Catherine Voegele; Maxime P Vallée; Graham Byrnes; Breast Cancer Family Registry; John L Hopper; Melissa C Southey; Irene L Andrulis; Esther M John; Sean V Tavtigian; Fabienne Lesueur
Journal:  PLoS One       Date:  2012-12-27       Impact factor: 3.240

8.  Tissue banking, bioinformatics, and electronic medical records: the front-end requirements for personalized medicine.

Authors:  K Stephen Suh; Sreeja Sarojini; Maher Youssif; Kip Nalley; Natasha Milinovikj; Fathi Elloumi; Steven Russell; Andrew Pecora; Elyssa Schecter; Andre Goy
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9.  Determining the effectiveness of High Resolution Melting analysis for SNP genotyping and mutation scanning at the TP53 locus.

Authors:  Sonia Garritano; Federica Gemignani; Catherine Voegele; Tú Nguyen-Dumont; Florence Le Calvez-Kelm; Deepika De Silva; Fabienne Lesueur; Stefano Landi; Sean V Tavtigian
Journal:  BMC Genet       Date:  2009-02-17       Impact factor: 2.797

10.  Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study.

Authors:  Francesca Damiola; Maroulio Pertesi; Javier Oliver; Florence Le Calvez-Kelm; Catherine Voegele; Erin L Young; Nivonirina Robinot; Nathalie Forey; Geoffroy Durand; Maxime P Vallée; Kayoko Tao; Terrell C Roane; Gareth J Williams; John L Hopper; Melissa C Southey; Irene L Andrulis; Esther M John; David E Goldgar; Fabienne Lesueur; Sean V Tavtigian
Journal:  Breast Cancer Res       Date:  2014-06-03       Impact factor: 6.466

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