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Xia H, Zhang Z, Luo C, Wei K, Li X, Mu X, Duan M, Zhu C, Jin L, He X, Tang L, Hu L, Guan Y, Lam DCC, Yang J. MultiPrime: A reliable and efficient tool for targeted next-generation sequencing. IMETA 2023; 2:e143. [PMID: 38868227 PMCID: PMC10989836 DOI: 10.1002/imt2.143] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 08/29/2023] [Indexed: 06/14/2024]
Abstract
We present multiPrime, a novel tool that automatically designs minimal primer sets for targeted next-generation sequencing, tailored to specific microbiomes or genes. MultiPrime enhances primer coverage by designing primers with mismatch tolerance and ensures both high compatibility and specificity. We evaluated the performance of multiPrime using a data set of 43,016 sequences from eight viruses. Our results demonstrated that multiPrime outperformed conventional tools, and the primer set designed by multiPrime successfully amplified the target amplicons. Furthermore, we expanded the application of multiPrime to 30 types of viruses and validated the work efficacy of multiPrime-designed primers in 80 clinical specimens. The subsequent sequencing outcomes from these primers indicated a sensitivity of 94% and a specificity of 89%.
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Affiliation(s)
- Han Xia
- School of Automation Science and Engineering, Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'anChina
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'anChina
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Zhe Zhang
- Department of Mechanical and Aerospace EngineeringThe Hong Kong University of Science and TechnologyHong KongChina
| | - Chen Luo
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Kangfei Wei
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Xuming Li
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Xiyu Mu
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Meilin Duan
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Chuanlong Zhu
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Luyi Jin
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Xiaoqing He
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Lingjie Tang
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Long Hu
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - Yuanlin Guan
- Department of Research and DevelopmentHugobiotechBeijingChina
| | - David C. C. Lam
- Department of Mechanical and Aerospace EngineeringThe Hong Kong University of Science and TechnologyHong KongChina
| | - Junbo Yang
- Department of Research and DevelopmentHugobiotechBeijingChina
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenChina
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2
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Guo J, Starr D, Guo H. Classification and review of free PCR primer design software. Bioinformatics 2021; 36:5263-5268. [PMID: 33104196 DOI: 10.1093/bioinformatics/btaa910] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 10/05/2020] [Accepted: 10/12/2020] [Indexed: 01/31/2023] Open
Abstract
MOTIVATION Polymerase chain reaction (PCR) has been a revolutionary biomedical advancement. However, for PCR to be appropriately used, one must spend a significant amount of effort on PCR primer design. Carefully designed PCR primers not only increase sensitivity and specificity, but also decrease effort spent on experimental optimization. Computer software removes the human element by performing and automating the complex and rigorous calculations required in PCR primer design. Classification and review of the available software options and their capabilities should be a valuable resource for any PCR application. RESULTS This article focuses on currently available free PCR primer design software and their major functions (https://pcrprimerdesign.github.io/). The software are classified according to their PCR applications, such as Sanger sequencing, reverse transcription quantitative PCR, single nucleotide polymorphism detection, splicing variant detection, methylation detection, microsatellite detection, multiplex PCR and targeted next generation sequencing, and conserved/degenerate primers to clone orthologous genes from related species, new gene family members in the same species, or to detect a group of related pathogens. Each software is summarized to provide a technical review of their capabilities and utilities.
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Affiliation(s)
- Jingwen Guo
- Department of Computer Science, Princeton University, Princeton, NJ 08544, USA
| | - David Starr
- Department of Pathology, Saint Louis University, St. Louis, MO 63104, USA
| | - Huazhang Guo
- Department of Pathology, Saint Louis University, St. Louis, MO 63104, USA
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3
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Kwak MJ, Kong HG, Choi K, Kwon SK, Song JY, Lee J, Lee PA, Choi SY, Seo M, Lee HJ, Jung EJ, Park H, Roy N, Kim H, Lee MM, Rubin EM, Lee SW, Kim JF. Rhizosphere microbiome structure alters to enable wilt resistance in tomato. Nat Biotechnol 2018; 36:nbt.4232. [PMID: 30295674 DOI: 10.1038/nbt.4232] [Citation(s) in RCA: 321] [Impact Index Per Article: 53.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Accepted: 08/01/2018] [Indexed: 11/09/2022]
Abstract
Tomato variety Hawaii 7996 is resistant to the soil-borne pathogen Ralstonia solanacearum, whereas the Moneymaker variety is susceptible to the pathogen. To evaluate whether plant-associated microorganisms have a role in disease resistance, we analyzed the rhizosphere microbiomes of both varieties in a mesocosm experiment. Microbiome structures differed between the two cultivars. Transplantation of rhizosphere microbiota from resistant plants suppressed disease symptoms in susceptible plants. Comparative analyses of rhizosphere metagenomes from resistant and susceptible plants enabled the identification and assembly of a flavobacterial genome that was far more abundant in the resistant plant rhizosphere microbiome than in that of the susceptible plant. We cultivated this flavobacterium, named TRM1, and found that it could suppress R. solanacearum-disease development in a susceptible plant in pot experiments. Our findings reveal a role for native microbiota in protecting plants from microbial pathogens, and our approach charts a path toward the development of probiotics to ameliorate plant diseases.
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Affiliation(s)
- Min-Jung Kwak
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Hyun Gi Kong
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Kihyuck Choi
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Soon-Kyeong Kwon
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Ju Yeon Song
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Jidam Lee
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Pyeong An Lee
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Soo Yeon Choi
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | | | - Hyoung Ju Lee
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Eun Joo Jung
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Hyein Park
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Nazish Roy
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Heebal Kim
- C&K Genomics, Seoul, Republic of Korea
- Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea
| | - Myeong Min Lee
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Edward M Rubin
- Department of Energy Joint Genome Institute (DOE JGI) and Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Seon-Woo Lee
- Department of Applied Biology, Dong-A University, Busan, Republic of Korea
| | - Jihyun F Kim
- Department of Systems Biology, Division of Life Sciences, and Institute for Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea
- Strategic Initiative for Microbiomes in Agriculture and Food (iMAF), Yonsei University, Seoul, Republic of Korea
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4
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Ebert BE, Lamprecht AL, Steffen B, Blank LM. Flux-p: automating metabolic flux analysis. Metabolites 2012; 2:872-90. [PMID: 24957766 PMCID: PMC3901227 DOI: 10.3390/metabo2040872] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2012] [Revised: 10/29/2012] [Accepted: 11/01/2012] [Indexed: 11/18/2022] Open
Abstract
Quantitative knowledge of intracellular fluxes in metabolic networks is invaluable for inferring metabolic system behavior and the design principles of biological systems. However, intracellular reaction rates can not often be calculated directly but have to be estimated; for instance, via 13C-based metabolic flux analysis, a model-based interpretation of stable carbon isotope patterns in intermediates of metabolism. Existing software such as FiatFlux, OpenFLUX or 13CFLUX supports experts in this complex analysis, but requires several steps that have to be carried out manually, hence restricting the use of this software for data interpretation to a rather small number of experiments. In this paper, we present Flux-P as an approach to automate and standardize 13C-based metabolic flux analysis, using the Bio-jETI workflow framework. Exemplarily based on the FiatFlux software, it demonstrates how services can be created that carry out the different analysis steps autonomously and how these can subsequently be assembled into software workflows that perform automated, high-throughput intracellular flux analysis of high quality and reproducibility. Besides significant acceleration and standardization of the data analysis, the agile workflow-based realization supports flexible changes of the analysis workflows on the user level, making it easy to perform custom analyses.
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Affiliation(s)
- Birgitta E Ebert
- Institute of Applied Microbiology (iAMB), RWTH Aachen University, Worringer Weg 1 52074 Aachen, Germany.
| | - Anna-Lena Lamprecht
- Service and Software Engineering, University of Potsdam, August-Bebel-Straße 89, 14482 Potsdam, Germany.
| | - Bernhard Steffen
- Programming Systems, TU Dortmund University, Otto-Hahn-Str. 14, 44227 Dortmund, Germany.
| | - Lars M Blank
- Institute of Applied Microbiology (iAMB), RWTH Aachen University, Worringer Weg 1 52074 Aachen, Germany.
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Sun Y, Liu HY, Mu L, Luo EJ. Degenerate primer design to clone the human repertoire of immunoglobulin heavy chain variable regions. World J Microbiol Biotechnol 2012; 28:381-6. [PMID: 22806814 PMCID: PMC7089251 DOI: 10.1007/s11274-011-0830-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2010] [Accepted: 06/28/2011] [Indexed: 11/30/2022]
Abstract
Amplifying the variable (Fv or V) regions of immunoglobulins (Ig) has become a challenge in cloning antibody genes for phage display, a technique used to study protein-protein, protein-peptide, and protein-DNA interactions using bacteriophages to connect proteins with the genetic information that encodes them. Key parameters affecting the amplification of full antibody repertoires includes the availability of primers that can amplify as many V genes as possible; however the strategy used to design these primers and programs used to make the necessary alignments have not been well studied and clearly detailed in the literature. Here, we present a set of primers computationally designed by iCODEHOP based on a database of human germline Ig sequences. We used reverse transcription polymerase chain reaction (RT-PCR) protocols that would recognize the V(H) genes from human peripheral blood mononuclear cells. We identified the most highly conserved region in framework 1 and framework 4 of the Ig cDNA, and designed a set of degenerated 5' primers. The V(H) genes were successfully amplified by RT-PCR. This new primer has facilitated the creation of more diverse V(H) libraries than has been previously possible. Moreover, iCODEHOP improved the primer design efficiency and was found useful both for cloning unknown genes in gene families and for building V(H) gene libraries.
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Affiliation(s)
- Ying Sun
- Department of Microbiology and Parasitology and Institute of Pathology and Pathophysiology, China Medical University, No. 92, Beier Road, Heping District, Shen Yang, 110001 China
| | - Hong-Yan Liu
- Shenyang Hospital for Infectious Diseases, No. 85, Heping South Avenue, Heping District, Shen Yang, 110006 China
| | - Ling Mu
- Shenyang Hospital for Infectious Diseases, No. 85, Heping South Avenue, Heping District, Shen Yang, 110006 China
| | - En-Jie Luo
- Department of Microbiology and Parasitology and Institute of Pathology and Pathophysiology, China Medical University, No. 92, Beier Road, Heping District, Shen Yang, 110001 China
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6
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Conserved PCR primer set designing for closely-related species to complete mitochondrial genome sequencing using a sliding window-based PSO algorithm. PLoS One 2011; 6:e17729. [PMID: 21445268 PMCID: PMC3060828 DOI: 10.1371/journal.pone.0017729] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2010] [Accepted: 02/12/2011] [Indexed: 11/19/2022] Open
Abstract
Background Complete mitochondrial (mt) genome sequencing is becoming increasingly common for phylogenetic reconstruction and as a model for genome evolution. For long template sequencing, i.e., like the entire mtDNA, it is essential to design primers for Polymerase Chain Reaction (PCR) amplicons which are partly overlapping each other. The presented chromosome walking strategy provides the overlapping design to solve the problem for unreliable sequencing data at the 5′ end and provides the effective sequencing. However, current algorithms and tools are mostly focused on the primer design for a local region in the genomic sequence. Accordingly, it is still challenging to provide the primer sets for the entire mtDNA. Methodology/Principal Findings The purpose of this study is to develop an integrated primer design algorithm for entire mt genome in general, and for the common primer sets for closely-related species in particular. We introduce ClustalW to generate the multiple sequence alignment needed to find the conserved sequences in closely-related species. These conserved sequences are suitable for designing the common primers for the entire mtDNA. Using a heuristic algorithm particle swarm optimization (PSO), all the designed primers were computationally validated to fit the common primer design constraints, such as the melting temperature, primer length and GC content, PCR product length, secondary structure, specificity, and terminal limitation. The overlap requirement for PCR amplicons in the entire mtDNA is satisfied by defining the overlapping region with the sliding window technology. Finally, primer sets were designed within the overlapping region. The primer sets for the entire mtDNA sequences were successfully demonstrated in the example of two closely-related fish species. The pseudo code for the primer design algorithm is provided. Conclusions/Significance In conclusion, it can be said that our proposed sliding window-based PSO algorithm provides the necessary primer sets for the entire mt genome amplification and sequencing.
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7
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Lamprecht AL, Naujokat S, Margaria T, Steffen B. Semantics-based composition of EMBOSS services. J Biomed Semantics 2011; 2 Suppl 1:S5. [PMID: 21388574 PMCID: PMC3105497 DOI: 10.1186/2041-1480-2-s1-s5] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Background More than in other domains the heterogeneous services world in bioinformatics demands for a methodology to classify and relate resources in a both human and machine accessible manner. The Semantic Web, which is meant to address exactly this challenge, is currently one of the most ambitious projects in computer science. Collective efforts within the community have already led to a basis of standards for semantic service descriptions and meta-information. In combination with process synthesis and planning methods, such knowledge about types and services can facilitate the automatic composition of workflows for particular research questions. Results In this study we apply the synthesis methodology that is available in the Bio-jETI workflow management framework for the semantics-based composition of EMBOSS services. EMBOSS (European Molecular Biology Open Software Suite) is a collection of 350 tools (March 2010) for various sequence analysis tasks, and thus a rich source of services and types that imply comprehensive domain models for planning and synthesis approaches. We use and compare two different setups of our EMBOSS synthesis domain: 1) a manually defined domain setup where an intuitive, high-level, semantically meaningful nomenclature is applied to describe the input/output behavior of the single EMBOSS tools and their classifications, and 2) a domain setup where this information has been automatically derived from the EMBOSS Ajax Command Definition (ACD) files and the EMBRACE Data and Methods ontology (EDAM). Our experiments demonstrate that these domain models in combination with our synthesis methodology greatly simplify working with the large, heterogeneous, and hence manually intractable EMBOSS collection. However, they also show that with the information that can be derived from the (current) ACD files and EDAM ontology alone, some essential connections between services can not be recognized. Conclusions Our results show that adequate domain modeling requires to incorporate as much domain knowledge as possible, far beyond the mere technical aspects of the different types and services. Finding or defining semantically appropriate service and type descriptions is a difficult task, but the bioinformatics community appears to be on the right track towards a Life Science Semantic Web, which will eventually allow automatic service composition methods to unfold their full potential.
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Affiliation(s)
- Anna-Lena Lamprecht
- Chair for Programming Systems, Technical University Dortmund, Dortmund, D-44227, Germany.
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8
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Dalman T, Droste P, Weitzel M, Wiechert W, Nöh K. Workflows for Metabolic Flux Analysis: Data Integration and Human Interaction. ACTA ACUST UNITED AC 2010. [DOI: 10.1007/978-3-642-16558-0_23] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
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9
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Lamprecht AL, Margaria T, Steffen B. Bio-jETI: a framework for semantics-based service composition. BMC Bioinformatics 2009; 10 Suppl 10:S8. [PMID: 19796405 PMCID: PMC2755829 DOI: 10.1186/1471-2105-10-s10-s8] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The development of bioinformatics databases, algorithms, and tools throughout the last years has lead to a highly distributed world of bioinformatics services. Without adequate management and development support, in silico researchers are hardly able to exploit the potential of building complex, specialized analysis processes from these services. The Semantic Web aims at thoroughly equipping individual data and services with machine-processable meta-information, while workflow systems support the construction of service compositions. However, even in this combination, in silico researchers currently would have to deal manually with the service interfaces, the adequacy of the semantic annotations, type incompatibilities, and the consistency of service compositions. RESULTS In this paper, we demonstrate by means of two examples how Semantic Web technology together with an adequate domain modelling frees in silico researchers from dealing with interfaces, types, and inconsistencies. In Bio-jETI, bioinformatics services can be graphically combined to complex services without worrying about details of their interfaces or about type mismatches of the composition. These issues are taken care of at the semantic level by Bio-jETI's model checking and synthesis features. Whenever possible, they automatically resolve type mismatches in the considered service setting. Otherwise, they graphically indicate impossible/incorrect service combinations. In the latter case, the workflow developer may either modify his service composition using semantically similar services, or ask for help in developing the missing mediator that correctly bridges the detected type gap. Newly developed mediators should then be adequately annotated semantically, and added to the service library for later reuse in similar situations. CONCLUSION We show the power of semantic annotations in an adequately modelled and semantically enabled domain setting. Using model checking and synthesis methods, users may orchestrate complex processes from a wealth of heterogeneous services without worrying about interfaces and (type) consistency. The success of this method strongly depends on a careful semantic annotation of the provided services and on its consequent exploitation for analysis, validation, and synthesis. We are convinced that these annotations will become standard, as they will become preconditions for the success and widespread use of (preferred) services in the Semantic Web.
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Affiliation(s)
- Anna-Lena Lamprecht
- grid.5675.10000000104169637Chair for Programming Systems, Dortmund University of Technology, Dortmund, D-44227 Germany
| | - Tiziana Margaria
- grid.11348.3f0000000109421117Chair for Service and Software Engineering, Potsdam University, Potsdam, D-14882 Germany
| | - Bernhard Steffen
- grid.5675.10000000104169637Chair for Programming Systems, Dortmund University of Technology, Dortmund, D-44227 Germany
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10
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Contreras-Moreira B, Sachman-Ruiz B, Figueroa-Palacios I, Vinuesa P. primers4clades: a web server that uses phylogenetic trees to design lineage-specific PCR primers for metagenomic and diversity studies. Nucleic Acids Res 2009; 37:W95-W100. [PMID: 19465390 PMCID: PMC2703966 DOI: 10.1093/nar/gkp377] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Primers4clades is an easy-to-use web server that implements a fully automatic PCR primer design pipeline for cross-species amplification of novel sequences from metagenomic DNA, or from uncharacterized organisms, belonging to user-specified phylogenetic clades or taxa. The server takes a set of non-aligned protein coding genes, with or without introns, aligns them and computes a neighbor-joining tree, which is displayed on screen for easy selection of species or sequence clusters to design lineage-specific PCR primers. Primers4clades implements an extended CODEHOP primer design strategy based on both DNA and protein multiple sequence alignments. It evaluates several thermodynamic properties of the oligonucleotide pairs, and computes the phylogenetic information content of the predicted amplicon sets from Shimodaira-Hasegawa-like branch support values of maximum likelihood phylogenies. A non-redundant set of primer formulations is returned, ranked according to their thermodynamic properties. An amplicon distribution map provides a convenient overview of the coverage of the target locus. Altogether these features greatly help the user in making an informed choice between alternative primer pair formulations. Primers4clades is available at two mirror sites: http://maya.ccg.unam.mx/primers4clades/and http://floresta.eead.csic.es/primers4clades/. Three demo data sets and a comprehensive documentation/tutorial page are provided for easy testing of the server's capabilities and interface.
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Affiliation(s)
- Bruno Contreras-Moreira
- Estación Experimental de Aula Dei, Consejo Superior de Investigaciones Científicas, Zaragoza, Mexico
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11
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Boyce R, Chilana P, Rose TM. iCODEHOP: a new interactive program for designing COnsensus-DEgenerate Hybrid Oligonucleotide Primers from multiply aligned protein sequences. Nucleic Acids Res 2009; 37:W222-8. [PMID: 19443442 PMCID: PMC2703993 DOI: 10.1093/nar/gkp379] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
PCR amplification using COnsensus DEgenerate Hybrid Oligonucleotide Primers (CODEHOPs) has proven to be highly effective for identifying unknown pathogens and characterizing novel genes. We describe iCODEHOP; a new interactive web application that simplifies the process of designing and selecting CODEHOPs from multiply-aligned protein sequences. iCODEHOP intelligently guides the user through the degenerate primer design process including uploading sequences, creating a multiple alignment, deriving CODEHOPs and calculating their annealing temperatures. The user can quickly scan over an entire set of degenerate primers designed by the program to assess their relative quality and select individual primers for further analysis. The program displays phylogenetic information for input sequences and allows the user to easily design new primers from selected sequence sub-clades. It also allows the user to bias primer design to favor specific clades or sequences using sequence weights. iCODEHOP is freely available to all interested researchers at https://icodehop.cphi.washington.edu/i-codehop-context/Welcome.
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Affiliation(s)
- Richard Boyce
- Department of Biomedical Informatics, University of Pittsburgh, UPMC Cancer Pavilion, Suite 301, Pittsburgh, PA 15232, USA.
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Cannata N, Schröder M, Marangoni R, Romano P. A Semantic Web for bioinformatics: goals, tools, systems, applications. BMC Bioinformatics 2008; 9 Suppl 4:S1. [PMID: 18460170 PMCID: PMC2367628 DOI: 10.1186/1471-2105-9-s4-s1] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Affiliation(s)
- Nicola Cannata
- Department of Mathematics and Computer Science, University of Camerino, Camerino (MC), I-62032, Italy
| | | | - Roberto Marangoni
- Computer Science Department, University of Pisa, Pisa, I-56127, Italy
| | - Paolo Romano
- Bioinformatics, National Cancer Research Institute, Genova, I-16132, Italy
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Bio-jETI: a service integration, design, and provisioning platform for orchestrated bioinformatics processes. BMC Bioinformatics 2008; 9 Suppl 4:S12. [PMID: 18460173 PMCID: PMC2367639 DOI: 10.1186/1471-2105-9-s4-s12] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background With Bio-jETI, we introduce a service platform for interdisciplinary work on biological application domains and illustrate its use in a concrete application concerning statistical data processing in R and xcms for an LC/MS analysis of FAAH gene knockout. Methods Bio-jETI uses the jABC environment for service-oriented modeling and design as a graphical process modeling tool and the jETI service integration technology for remote tool execution. Conclusions As a service definition and provisioning platform, Bio-jETI has the potential to become a core technology in interdisciplinary service orchestration and technology transfer. Domain experts, like biologists not trained in computer science, directly define complex service orchestrations as process models and use efficient and complex bioinformatics tools in a simple and intuitive way.
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