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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1963 1
1983 1
1985 1
1986 2
1987 1
1988 5
1989 6
1990 9
1991 14
1992 19
1993 31
1994 24
1995 26
1996 27
1997 28
1998 48
1999 46
2000 62
2001 68
2002 83
2003 104
2004 162
2005 263
2006 240
2007 281
2008 326
2009 360
2010 362
2011 404
2012 437
2013 482
2014 598
2015 726
2016 760
2017 729
2018 807
2019 914
2020 1066
2021 1058
2022 1011
2023 979
2024 385

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11,612 results

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Page 1
Biotechnology software in the digital age: are you winning?
Scheitz CJF, Peck LJ, Groban ES. Scheitz CJF, et al. J Ind Microbiol Biotechnol. 2018 Jul;45(7):529-534. doi: 10.1007/s10295-018-2009-5. Epub 2018 Jan 16. J Ind Microbiol Biotechnol. 2018. PMID: 29335911
There is a digital revolution taking place and biotechnology companies are slow to adapt. Many pharmaceutical, biotechnology, and industrial bio-production companies believe that software must be developed and maintained in-house and that data are more secure …
There is a digital revolution taking place and biotechnology companies are slow to adapt. Many pharmaceutical, biotechnology, …
COPASI and its applications in biotechnology.
Bergmann FT, Hoops S, Klahn B, Kummer U, Mendes P, Pahle J, Sahle S. Bergmann FT, et al. J Biotechnol. 2017 Nov 10;261:215-220. doi: 10.1016/j.jbiotec.2017.06.1200. Epub 2017 Jun 24. J Biotechnol. 2017. PMID: 28655634 Free PMC article. Review.
COPASI is software used for the creation, modification, simulation and computational analysis of kinetic models in various fields. ...Next we introduce the COPASI package, and its capabilities, before looking at typical applications of COPASI in biotechnology....
COPASI is software used for the creation, modification, simulation and computational analysis of kinetic models in various fields. .. …
Software for rapid prototyping in the pharmaceutical and biotechnology industries.
Kappler MA. Kappler MA. Curr Opin Drug Discov Devel. 2008 May;11(3):389-92. Curr Opin Drug Discov Devel. 2008. PMID: 18428093 Review.
The magnitude of data and the plethora of questions in pharmaceutical and biotechnology research give rise to the need for rapid prototyping software. ...
The magnitude of data and the plethora of questions in pharmaceutical and biotechnology research give rise to the need for rapid prot …
Focus on the neuroscience toolbox.
[No authors listed] [No authors listed] Nat Neurosci. 2016 Aug 26;19(9):1117. doi: 10.1038/nn.4379. Nat Neurosci. 2016. PMID: 27571189 No abstract available.
Use of CellNetAnalyzer in biotechnology and metabolic engineering.
von Kamp A, Thiele S, Hädicke O, Klamt S. von Kamp A, et al. J Biotechnol. 2017 Nov 10;261:221-228. doi: 10.1016/j.jbiotec.2017.05.001. Epub 2017 May 10. J Biotechnol. 2017. PMID: 28499817 Free article. Review.
Since metabolic networks can be complex and comprise hundreds or even thousands of metabolites and reactions, dedicated software tools are required for an efficient analysis. One such software suite is CellNetAnalyzer, a MATLAB package providing, among others, vario …
Since metabolic networks can be complex and comprise hundreds or even thousands of metabolites and reactions, dedicated software tool …
A Digital Ache.
Yarlott L. Yarlott L. Br J Gen Pract. 2015 Jul;65(636):360-1. doi: 10.3399/bjgp15X685741. Br J Gen Pract. 2015. PMID: 26120117 Free PMC article. Review. No abstract available.
Recognizing software names in biomedical literature using machine learning.
Wei Q, Zhang Y, Amith M, Lin R, Lapeyrolerie J, Tao C, Xu H. Wei Q, et al. Health Informatics J. 2020 Mar;26(1):21-33. doi: 10.1177/1460458219869490. Epub 2019 Sep 30. Health Informatics J. 2020. PMID: 31566474 Free PMC article.
Software tools now are essential to research and applications in the biomedical domain. ...Our best system achieved an F-measure of 91.79% for recognizing software from titles and an F-measure of 86.35% for recognizing software from both titles and abstracts
Software tools now are essential to research and applications in the biomedical domain. ...Our best system achieved an F-measure of 9
Engineering enzyme access tunnels.
Kokkonen P, Bednar D, Pinto G, Prokop Z, Damborsky J. Kokkonen P, et al. Biotechnol Adv. 2019 Nov 1;37(6):107386. doi: 10.1016/j.biotechadv.2019.04.008. Epub 2019 Apr 23. Biotechnol Adv. 2019. PMID: 31026496 Free article. Review.
This review provides an overview of the emerging field of enzyme access tunnel engineering with case studies describing design of all the aforementioned properties. The software tools for the analysis of geometry and function of the enzymatic tunnels and channels and for t …
This review provides an overview of the emerging field of enzyme access tunnel engineering with case studies describing design of all the af …
Digital technology: coming of age?
Marzano L, Hollis C, Cipriani A, Malhi GS. Marzano L, et al. Evid Based Ment Health. 2017 Nov;20(4):97. doi: 10.1136/eb-2017-102821. Epub 2017 Oct 22. Evid Based Ment Health. 2017. PMID: 29056607 Free PMC article. No abstract available.
Advances in automated and reactive flow cytometry for synthetic biotechnology.
Delvigne F, Martinez JA. Delvigne F, et al. Curr Opin Biotechnol. 2023 Oct;83:102974. doi: 10.1016/j.copbio.2023.102974. Epub 2023 Jul 27. Curr Opin Biotechnol. 2023. PMID: 37515938 Review.
Automated flow cytometry (FC) has been initially considered for bioprocess monitoring and optimization. More recently, new physical and software interfaces have been made available, facilitating the access to this technology for labs and industries. ...
Automated flow cytometry (FC) has been initially considered for bioprocess monitoring and optimization. More recently, new physical and s
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