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Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene
by
Peta, Elektra
, Falda, Marco
, Lavezzo, Enrico
, Finotello, Francesca
, Di Camillo, Barbara
, Masi, Giulia
, Baruzzo, Giacomo
, Toppo, Stefano
, Barzon, Luisa
, Sambo, Francesco
in
16S rRNA sequencing
/ Algorithms
/ Amplification
/ Automation
/ Bacteria
/ Bacteria - genetics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Computation
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer applications
/ Computer programs
/ Design
/ DNA Primers - genetics
/ DNA Primers - standards
/ Efficiency
/ Experiments
/ Gene sequencing
/ Genetic research
/ Identification and classification
/ Life Sciences
/ Methodology
/ Methodology Article
/ Methods
/ Microarrays
/ Microorganisms
/ Multi objective optimization
/ Multiple objective analysis
/ Optimization
/ Polymerase Chain Reaction - standards
/ Primer design
/ Primers
/ Primers (Molecular genetics)
/ Ribonucleic acid
/ Ribosomal RNA
/ RNA
/ RNA, Bacterial - genetics
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Sequence analysis (methods)
/ Software
/ Software development tools
/ Source code
2018
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Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene
by
Peta, Elektra
, Falda, Marco
, Lavezzo, Enrico
, Finotello, Francesca
, Di Camillo, Barbara
, Masi, Giulia
, Baruzzo, Giacomo
, Toppo, Stefano
, Barzon, Luisa
, Sambo, Francesco
in
16S rRNA sequencing
/ Algorithms
/ Amplification
/ Automation
/ Bacteria
/ Bacteria - genetics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Computation
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer applications
/ Computer programs
/ Design
/ DNA Primers - genetics
/ DNA Primers - standards
/ Efficiency
/ Experiments
/ Gene sequencing
/ Genetic research
/ Identification and classification
/ Life Sciences
/ Methodology
/ Methodology Article
/ Methods
/ Microarrays
/ Microorganisms
/ Multi objective optimization
/ Multiple objective analysis
/ Optimization
/ Polymerase Chain Reaction - standards
/ Primer design
/ Primers
/ Primers (Molecular genetics)
/ Ribonucleic acid
/ Ribosomal RNA
/ RNA
/ RNA, Bacterial - genetics
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Sequence analysis (methods)
/ Software
/ Software development tools
/ Source code
2018
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Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene
by
Peta, Elektra
, Falda, Marco
, Lavezzo, Enrico
, Finotello, Francesca
, Di Camillo, Barbara
, Masi, Giulia
, Baruzzo, Giacomo
, Toppo, Stefano
, Barzon, Luisa
, Sambo, Francesco
in
16S rRNA sequencing
/ Algorithms
/ Amplification
/ Automation
/ Bacteria
/ Bacteria - genetics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Computation
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer applications
/ Computer programs
/ Design
/ DNA Primers - genetics
/ DNA Primers - standards
/ Efficiency
/ Experiments
/ Gene sequencing
/ Genetic research
/ Identification and classification
/ Life Sciences
/ Methodology
/ Methodology Article
/ Methods
/ Microarrays
/ Microorganisms
/ Multi objective optimization
/ Multiple objective analysis
/ Optimization
/ Polymerase Chain Reaction - standards
/ Primer design
/ Primers
/ Primers (Molecular genetics)
/ Ribonucleic acid
/ Ribosomal RNA
/ RNA
/ RNA, Bacterial - genetics
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Sequence analysis (methods)
/ Software
/ Software development tools
/ Source code
2018
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Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene
Journal Article
Optimizing PCR primers targeting the bacterial 16S ribosomal RNA gene
2018
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Overview
Background
Targeted amplicon sequencing of the 16S ribosomal RNA gene is one of the key tools for studying microbial diversity. The accuracy of this approach strongly depends on the choice of primer pairs and, in particular, on the balance between efficiency, specificity and sensitivity in the amplification of the different bacterial 16S sequences contained in a sample. There is thus the need for computational methods to design optimal bacterial 16S primers able to take into account the knowledge provided by the new sequencing technologies.
Results
We propose here a computational method for optimizing the choice of primer sets, based on multi-objective optimization, which simultaneously: 1) maximizes efficiency and specificity of target amplification; 2) maximizes the number of different bacterial 16S sequences matched by at least one primer; 3) minimizes the differences in the number of primers matching each bacterial 16S sequence. Our algorithm can be applied to any desired amplicon length without affecting computational performance. The source code of the developed algorithm is released as the
mopo16S
software tool (Multi-Objective Primer Optimization for 16S experiments) under the GNU General Public License and is available at
http://sysbiobig.dei.unipd.it/?q=Software#mopo16S
.
Conclusions
Results show that our strategy is able to find better primer pairs than the ones available in the literature according to all three optimization criteria. We also experimentally validated three of the primer pairs identified by our method on multiple bacterial species, belonging to different genera and phyla. Results confirm the predicted efficiency and the ability to maximize the number of different bacterial 16S sequences matched by primers.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Bacteria
/ Biomedical and Life Sciences
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Design
/ Identification and classification
/ Methods
/ Multi objective optimization
/ Polymerase Chain Reaction - standards
/ Primers
/ Primers (Molecular genetics)
/ RNA
/ RNA, Ribosomal, 16S - genetics
/ rRNA 16S
/ Software
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