Literature DB >> 33405219

Setting Up an Automated Biomanufacturing Laboratory.

Marilene Pavan1.   

Abstract

Laboratory automation is a key enabling technology for genetic engineering that can lead to higher throughput, more efficient and accurate experiments, better data management and analysis, decrease in the DBT (Design, Build, and Test) cycle turnaround, increase of reproducibility, and savings in lab resources. Choosing the correct framework among so many options available in terms of software, hardware, and skills needed to operate them is crucial for the success of any automation project. This chapter explores the multiple aspects to be considered for the solid development of a biofoundry project including available software and hardware tools, resources, strategies, partnerships, and collaborations in the field needed to speed up the translation of research results to solve important society problems.

Entities:  

Keywords:  Hardware; Laboratory automation; Liquid handling; Machine learning; Metabolic engineering; Reproducibility; Software; Standardization; Synthetic biology; Throughput

Year:  2021        PMID: 33405219     DOI: 10.1007/978-1-0716-1032-9_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  38 in total

1.  Lab automation and robotics: Automation on the move.

Authors:  Tim Chapman
Journal:  Nature       Date:  2003-02-06       Impact factor: 49.962

2.  The first 110 years of laboratory automation: technologies, applications, and the creative scientist.

Authors:  Kevin Olsen
Journal:  J Lab Autom       Date:  2012-08-14

3.  j5 DNA assembly design automation software.

Authors:  Nathan J Hillson; Rafael D Rosengarten; Jay D Keasling
Journal:  ACS Synth Biol       Date:  2011-12-20       Impact factor: 5.110

4.  Genetic circuit design automation.

Authors:  Alec A K Nielsen; Bryan S Der; Jonghyeon Shin; Prashant Vaidyanathan; Vanya Paralanov; Elizabeth A Strychalski; David Ross; Douglas Densmore; Christopher A Voigt
Journal:  Science       Date:  2016-04-01       Impact factor: 47.728

5.  The Experiment Data Depot: A Web-Based Software Tool for Biological Experimental Data Storage, Sharing, and Visualization.

Authors:  William C Morrell; Garrett W Birkel; Mark Forrer; Teresa Lopez; Tyler W H Backman; Michael Dussault; Christopher J Petzold; Edward E K Baidoo; Zak Costello; David Ando; Jorge Alonso-Gutierrez; Kevin W George; Aindrila Mukhopadhyay; Ian Vaino; Jay D Keasling; Paul D Adams; Nathan J Hillson; Hector Garcia Martin
Journal:  ACS Synth Biol       Date:  2017-09-08       Impact factor: 5.110

6.  Lessons from Two Design-Build-Test-Learn Cycles of Dodecanol Production in Escherichia coli Aided by Machine Learning.

Authors:  Paul Opgenorth; Zak Costello; Takuya Okada; Garima Goyal; Yan Chen; Jennifer Gin; Veronica Benites; Markus de Raad; Trent R Northen; Kai Deng; Samuel Deutsch; Edward E K Baidoo; Christopher J Petzold; Nathan J Hillson; Hector Garcia Martin; Harry R Beller
Journal:  ACS Synth Biol       Date:  2019-05-24       Impact factor: 5.110

7.  The Economics of Reproducibility in Preclinical Research.

Authors:  Leonard P Freedman; Iain M Cockburn; Timothy S Simcoe
Journal:  PLoS Biol       Date:  2015-06-09       Impact factor: 8.029

8.  Indicators for the use of robotic labs in basic biomedical research: a literature analysis.

Authors:  Paul Groth; Jessica Cox
Journal:  PeerJ       Date:  2017-11-08       Impact factor: 2.984

9.  A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data.

Authors:  Zak Costello; Hector Garcia Martin
Journal:  NPJ Syst Biol Appl       Date:  2018-05-29

10.  An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals.

Authors:  Pablo Carbonell; Adrian J Jervis; Christopher J Robinson; Cunyu Yan; Mark Dunstan; Neil Swainston; Maria Vinaixa; Katherine A Hollywood; Andrew Currin; Nicholas J W Rattray; Sandra Taylor; Reynard Spiess; Rehana Sung; Alan R Williams; Donal Fellows; Natalie J Stanford; Paul Mulherin; Rosalind Le Feuvre; Perdita Barran; Royston Goodacre; Nicholas J Turner; Carole Goble; George Guoqiang Chen; Douglas B Kell; Jason Micklefield; Rainer Breitling; Eriko Takano; Jean-Loup Faulon; Nigel S Scrutton
Journal:  Commun Biol       Date:  2018-06-08
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