Literature DB >> 23032169

Clarity: an open-source manager for laboratory automation.

Nigel F Delaney1, José I Rojas Echenique, Christopher J Marx.   

Abstract

Software to manage automated laboratories, when interfaced with hardware instruments, gives users a way to specify experimental protocols and schedule activities to avoid hardware conflicts. In addition to these basics, modern laboratories need software that can run multiple different protocols in parallel and that can be easily extended to interface with a constantly growing diversity of techniques and instruments. We present Clarity, a laboratory automation manager that is hardware agnostic, portable, extensible, and open source. Clarity provides critical features including remote monitoring, robust error reporting by phone or email, and full state recovery in the event of a system crash. We discuss the basic organization of Clarity, demonstrate an example of its implementation for the automated analysis of bacterial growth, and describe how the program can be extended to manage new hardware. Clarity is mature, well documented, actively developed, written in C# for the Common Language Infrastructure, and is free and open-source software. These advantages set Clarity apart from currently available laboratory automation programs. The source code and documentation for Clarity is available at http://code.google.com/p/osla/.

Entities:  

Mesh:

Year:  2012        PMID: 23032169      PMCID: PMC5170844          DOI: 10.1177/2211068212460237

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  8 in total

1.  Tech.Sight. Robotic laboratory automation.

Authors:  James Boyd
Journal:  Science       Date:  2002-01-18       Impact factor: 47.728

2.  Diminishing returns epistasis among beneficial mutations decelerates adaptation.

Authors:  Hsin-Hung Chou; Hsuan-Chao Chiu; Nigel F Delaney; Daniel Segrè; Christopher J Marx
Journal:  Science       Date:  2011-06-03       Impact factor: 47.728

Review 3.  SiLA: Basic standards for rapid integration in laboratory automation.

Authors:  Henning Bär; Remo Hochstrasser; Bernd Papenfub
Journal:  J Lab Autom       Date:  2012-01-24

4.  AutoLabDB: a substantial open source database schema to support a high-throughput automated laboratory.

Authors:  Andrew Sparkes; Amanda Clare
Journal:  Bioinformatics       Date:  2012-03-29       Impact factor: 6.937

5.  A decade's perspective on DNA sequencing technology.

Authors:  Elaine R Mardis
Journal:  Nature       Date:  2011-02-10       Impact factor: 49.962

6.  The automation of science.

Authors:  Ross D King; Jem Rowland; Stephen G Oliver; Michael Young; Wayne Aubrey; Emma Byrne; Maria Liakata; Magdalena Markham; Pinar Pir; Larisa N Soldatova; Andrew Sparkes; Kenneth E Whelan; Amanda Clare
Journal:  Science       Date:  2009-04-03       Impact factor: 47.728

7.  Asymmetric, bimodal trade-offs during adaptation of Methylobacterium to distinct growth substrates.

Authors:  Ming-Chun Lee; Hsin-Hung Chou; Christopher J Marx
Journal:  Evolution       Date:  2009-06-22       Impact factor: 3.694

8.  Development of an optimized medium, strain and high-throughput culturing methods for Methylobacterium extorquens.

Authors:  Nigel F Delaney; Maria E Kaczmarek; Lewis M Ward; Paige K Swanson; Ming-Chun Lee; Christopher J Marx
Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

  8 in total
  20 in total

1.  Adding biotic complexity alters the metabolic benefits of mutualism.

Authors:  William R Harcombe; Alex Betts; Jason W Shapiro; Christopher J Marx
Journal:  Evolution       Date:  2016-06-24       Impact factor: 3.694

2.  Synchronous waves of failed soft sweeps in the laboratory: remarkably rampant clonal interference of alleles at a single locus.

Authors:  Ming-Chun Lee; Christopher J Marx
Journal:  Genetics       Date:  2013-01-10       Impact factor: 4.562

3.  Methylamine utilization via the N-methylglutamate pathway in Methylobacterium extorquens PA1 involves a novel flow of carbon through C1 assimilation and dissimilation pathways.

Authors:  Dipti D Nayak; Christopher J Marx
Journal:  J Bacteriol       Date:  2014-09-15       Impact factor: 3.490

4.  The impact of mistranslation on phenotypic variability and fitness.

Authors:  Laasya Samhita; Parth K Raval; Godwin Stephenson; Shashi Thutupalli; Deepa Agashe
Journal:  Evolution       Date:  2021-02-02       Impact factor: 4.171

5.  Laboratory divergence of Methylobacterium extorquens AM1 through unintended domestication and past selection for antibiotic resistance.

Authors:  Sean Michael Carroll; Katherine S Xue; Christopher J Marx
Journal:  BMC Microbiol       Date:  2014-01-02       Impact factor: 3.605

6.  FREQ-Seq: a rapid, cost-effective, sequencing-based method to determine allele frequencies directly from mixed populations.

Authors:  Lon M Chubiz; Ming-Chun Lee; Nigel F Delaney; Christopher J Marx
Journal:  PLoS One       Date:  2012-10-31       Impact factor: 3.240

7.  A novel pair of inducible expression vectors for use in Methylobacterium extorquens.

Authors:  Lon M Chubiz; Jessica Purswani; Sean Michael Carroll; Chistopher J Marx
Journal:  BMC Res Notes       Date:  2013-05-06

8.  Evolution after introduction of a novel metabolic pathway consistently leads to restoration of wild-type physiology.

Authors:  Sean Michael Carroll; Christopher J Marx
Journal:  PLoS Genet       Date:  2013-04-04       Impact factor: 5.917

9.  Development of an optimized medium, strain and high-throughput culturing methods for Methylobacterium extorquens.

Authors:  Nigel F Delaney; Maria E Kaczmarek; Lewis M Ward; Paige K Swanson; Ming-Chun Lee; Christopher J Marx
Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

10.  Metabolic erosion primarily through mutation accumulation, and not tradeoffs, drives limited evolution of substrate specificity in Escherichia coli.

Authors:  Nicholas Leiby; Christopher J Marx
Journal:  PLoS Biol       Date:  2014-02-18       Impact factor: 8.029

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