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11 results on '"Draft assembly"'

1. Plaseval: a framework for comparing and evaluating plasmid detection tools

Author

Aniket Mane, Haley Sanderson, Aaron P. White, Rahat Zaheer, Robert Beiko, and Cédric Chauve

Subjects
Plasmid prediction, Draft assembly, Comparative genomics, Benchmarking, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
Abstract

Abstract Background Plasmids play a major role in the transfer of antimicrobial resistance (AMR) genes among bacteria via horizontal gene transfer. The identification of plasmids in short-read assemblies is a challenging problem and a very active research area. Plasmid binning aims at detecting, in a draft genome assembly, groups (bins) of contigs likely to originate from the same plasmid. Several methods for plasmid binning have been developed recently, such as PlasBin-flow, HyAsP, gplas, MOB-suite, and plasmidSPAdes. This motivates the problem of evaluating the performances of plasmid binning methods, either against a given ground truth or between them. Results We describe PlasEval, a novel method aimed at comparing the results of plasmid binning tools. PlasEval computes a dissimilarity measure between two sets of plasmid bins, that can originate either from two plasmid binning tools, or from a plasmid binning tool and a ground truth set of plasmid bins. The PlasEval dissimilarity accounts for the contig content of plasmid bins, the length of contigs and is repeat-aware. Moreover, the dissimilarity score computed by PlasEval is broken down into several parts, that allows to understand qualitative differences between the compared sets of plasmid bins. We illustrate the use of PlasEval by benchmarking four recently developed plasmid binning tools—PlasBin-flow, HyAsP, gplas, and MOB-recon—on a data set of 53 E. coli bacterial genomes. Conclusion Analysis of the results of plasmid binning methods using PlasEval shows that their behaviour varies significantly. PlasEval can be used to decide which specific plasmid binning method should be used for a specific dataset. The disagreement between different methods also suggests that the problem of plasmid binning on short-read contigs requires further research. We believe that PlasEval can prove to be an effective tool in this regard. PlasEval is publicly available at https://github.com/acme92/PlasEval

Published
2024
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2. Plaseval: a framework for comparing and evaluating plasmid detection tools.

Author

Mane, Aniket, Sanderson, Haley, White, Aaron P., Zaheer, Rahat, Beiko, Robert, and Chauve, Cédric

Subjects
ESCHERICHIA coli, BACTERIAL genomes, COMPARATIVE genomics, BACTERIAL genes, DRUG resistance in microorganisms
Abstract

Background: Plasmids play a major role in the transfer of antimicrobial resistance (AMR) genes among bacteria via horizontal gene transfer. The identification of plasmids in short-read assemblies is a challenging problem and a very active research area. Plasmid binning aims at detecting, in a draft genome assembly, groups (bins) of contigs likely to originate from the same plasmid. Several methods for plasmid binning have been developed recently, such as PlasBin-flow, HyAsP, gplas, MOB-suite, and plasmidSPAdes. This motivates the problem of evaluating the performances of plasmid binning methods, either against a given ground truth or between them. Results: We describe PlasEval, a novel method aimed at comparing the results of plasmid binning tools. PlasEval computes a dissimilarity measure between two sets of plasmid bins, that can originate either from two plasmid binning tools, or from a plasmid binning tool and a ground truth set of plasmid bins. The PlasEval dissimilarity accounts for the contig content of plasmid bins, the length of contigs and is repeat-aware. Moreover, the dissimilarity score computed by PlasEval is broken down into several parts, that allows to understand qualitative differences between the compared sets of plasmid bins. We illustrate the use of PlasEval by benchmarking four recently developed plasmid binning tools—PlasBin-flow, HyAsP, gplas, and MOB-recon—on a data set of 53 E. coli bacterial genomes. Conclusion: Analysis of the results of plasmid binning methods using PlasEval shows that their behaviour varies significantly. PlasEval can be used to decide which specific plasmid binning method should be used for a specific dataset. The disagreement between different methods also suggests that the problem of plasmid binning on short-read contigs requires further research. We believe that PlasEval can prove to be an effective tool in this regard. PlasEval is publicly available at https://github.com/acme92/PlasEval [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
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3. Sequencing and partial characterization of cagaiteira tree genome (E. dysenterica DC)

Author

Ribeiro, Stela Barros, Coelho, Alexandre Siqueira Guedes, Telles, Mariana Pires de Campos, Zucchi, Maria Imaculada, and Soares, Thannya Nascimento

Subjects
GENETICA VEGETAL [GENETICA], Genômica, Genomic, Draft assembly, Cerrado
Abstract

Com o desenvolvimento das tecnologias de análise genômica, entre elas o sequenciamento de nova geração (NGS), a obtenção de uma grande quantidade de dados de sequenciamento de DNA é hoje uma realidade. Estes dados, associados às ferramentas computacionais desenvolvidas para sua análise, permitem o acesso às informações sobre genomas de diversos organismos, através da montagem de suas sequências parciais ou completas, bem como sua caracterização estrutural e funcional. A cagaiteira (E.dysenterica DC.) é uma das espécies nativas do Cerrado que possui potencial de utilização em sistemas de produção agrícola, devido ao potencial de utilização de seus frutos, folhas e casca além de possuir grande valor ecológico, por servir de alimento para a fauna nas suas regiões de ocorrência. Apesar dos avanços obtidos, pouco se sabe sobre a organização e estrutura genética desta espécie, visto que os trabalhos já realizados fazem o uso de um pequeno número de marcadores moleculares, aplicados a estudos sobre sistema cruzamento e efeitos de eventos microevolutivos nas populações. Foi realizada a montagem e a caracterização parcial o genoma de E.dysenterica com relação à quantidade, estrutura e função de genes e DNAs repetitivos, de forma a agregar informações àquelas já existentes. DNAs de cinco indivíduos de populações distintas foram sequenciados utilizando a plataforma Illumina MiSeq. O controle de qualidade das sequências genômicas obtidas foi feito utilizando o FastQc e o Trimmomatic. O draft assembly foi obtido utilizando o dipSpades e o controle de qualidade do assembly foi feito utilizando o blastn e o SamTools. A identificação e caracterização de regiões repetitivas foi feita com os programas RepeatMasker, RepeatModeler e QDD. Para a predição e anotação de genes foram utilizados os programas AUGUSTUS e o Blast2GO. Foi obtido um volume inicial de 8,64 Gb de sequências, distribuídos em 63.017.960 reads. Este valor diminuiu para após o controle de qualidade, restando 5,63 Gb, distribuídos em 59.415.168 reads. Mesmo com diminuição da quantidade de dados, foi observado o aumento das taxas de alinhamento entre o genoma de E.dysentera e E.grandis, espécie mais próxima à cagaiteira, cujo genoma já foi sequenciado. Após a retirada de DNAs organelares e contigs menores que 500 bases, foram obtidos 130.243 contigs, representando 56,7% (~250 Mb) do tamanho estimado para o genoma de E.dysenterica (~442 Mb). Cerca de 35,3% do assembly é composto por regiões repetitivas das quais 27,1% são elementos transponíveis, sendo a maioria pertencente à ordem LTR retrotransposons. Foram identificadas 55.491 regiões microssatélites das quais 46.701 são monocleotídeos e 8.403 são dinucleotídeos. O motivo de repetição T/A foi o mais frequente, seguido por A/T e GA/TC. Foram preditos 60.171 fragmentos gênicos e 228.510 transcritos. Observou-se uma densidade de 1 gene a cada 7,3 kb e uma média de 3,8 transcritos por gene. Diante dos resultados obtidos e a abordagem utilizada, este trabalho faz da cagaiteira a primeira espécie vegetal nativa do Cerrado cujo genoma foi amplamente amostrado e caracterizado utilizando dados NGS. The development of genomic analysis technologies, mainly the next generation sequencing platforms (NGS), has enabled to obtain a large amount of DNA sequencing information. The association between NGS data and cutting edge computational tools affords access to whole genome information for different organisms, through whole genome assembly (or partial) and structural and functional characterization. The cagaiteira tree (E. dysenterica DC.) is one of the Cerrado native species with potential utilization in crop production systems, due to its products exploration: fruits, leaves and bark. Besides, it has ecological importance for food availability to local fauna. Despite the efforts made, little is known about the organization and genetic structure of the cagaiteira tree. The previous researches take into account a reduced number of molecular markers applied to mating systems studies and effects of micro evolutionary events in populations. In this study we obtained an assembly and a partial characterization of E. dysenterica genome, regarding number, structure and function of genes and repetitive DNA. We obtained DNA sequences for five individuals from different populations using Illumina MiSeq sequencing platform. The quality control was performed with FasQc and Trimmomatic. We assembled the reads using dipSPAdes and used blastn and Samtools to verify the assembly quality. We used Repeat Masker, Repeat Modeler and QDD to identify and characterize the repetitive DNA content. For gene prediction and annotation we used AUGUSTUS and Blast2GO. The raw DNA sequences amounted 8.64 Gb, distributed in 63,017,960 reads. After trimming for low quality, the amount decreased to 5.63 Gb, distributed in 59,415,168 reads. After filtering for organellar DNA and contigs smaller than 500 bp, we assembled 130,243 contigs, representing 56.7% (~250 Mb) of estimated E.dysenterica genome size (~442 Mb). About 35.3% of genome assembled comprised repetitive regions, of which 27.1% are transposable elements (most LTR retrotransposons). We identified 55,491 microsatellite regions, 46,701 mononucleotides and 8,403 dinucleotides. The T/A motif was the most common follow by A/T and GA/TC. We predicted 60,171 gene fragments and 228,510 transcripts. We observed a gene density of 1 gene per 7.3 Kb and an average of 3.8 transcripts per gene. This study makes the cagaiteira tree the first native plant species from Cerrado of which genome was widely sampled and characterized using NGS data. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES

Published
2016

5. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Jugas, Robin, Sedlář, Karel, Provazník, Ivo, and Jugas, Robin

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

6. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Jugas, Robin, Sedlář, Karel, Provazník, Ivo, and Jugas, Robin

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

7. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Sedlář, Karel, and Provazník, Ivo

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

8. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Sedlář, Karel, and Provazník, Ivo

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

9. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Sedlář, Karel, and Provazník, Ivo

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

10. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Sedlář, Karel, and Provazník, Ivo

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

11. Metody pro vylepšení genomového sestavení založené na signálovém zpracování

Author

Sedlář, Karel, Provazník, Ivo, Jugas, Robin, Sedlář, Karel, Provazník, Ivo, and Jugas, Robin

Abstract

Diplomová práce se zabývá sekvenačními metodami a metodami sestavení genomu s využitím numerických reprezentací. Teoretická část práce popisuje historii objevu DNA, jednotlivé generace sekvenačních metod, samotné metody sestavení genomu a definici numerických reprezentací. Numerické reprezentace slouží pro převod znakové podoby DNA do numerické podoby a umožňují tak využití metod digitálního zpracování signálu. V práci je navržen algoritmus pro sestavení genomu s využitím numerické reprezentace, který je dále otestován na datech sekvencí., The diploma thesis deals with sequencing methods and genome assembly methods including usage of numerical representations. The theoretical part of thesis describes the history of DNA research, generations of sequencing methods, the assembly methods themselves and definiton of numerical representations. Numerical represenatations serve to convert character form of DNA to numerical form and so allow to use digital signal processing methods. There is an algorithm for genome assembly using numerical represenatation proposed in thesis, which is later tested at sequence data.

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