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Academic literature on the topic 'Séquençage en lectures longues'
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Journal articles on the topic "Séquençage en lectures longues"
Audebert, Christophe, David Hot, and Ségolène Caboche. "Séquençage par nanopores." médecine/sciences 34, no. 4 (April 2018): 319–25. http://dx.doi.org/10.1051/medsci/20183404012.
Full textGrelier, Benjamin, Gilles Drogue, Michel Pirotton, Pierre Archambeau, and Emilie Gernez. "Peut-on estimer l’effet du changement climatique sur l’écoulement à l’exutoire d’un bassin sans modèle pluie-débit ? un test de la méthode de transfert climat-écoulement par régression dans le bassin transnational de la meuse." Climatologie 14 (2017): 48–81. http://dx.doi.org/10.4267/climatologie.1232.
Full textDonkers-Venne, Dorine T. H. M., Mireille Fargette, and Carolien Zijlstra. "Identification of Meloidogyne incognita, M. javanica and M. arenaria using sequence characterised amplified region (SCAR) based PCR assays." Nematology 2, no. 8 (2000): 847–53. http://dx.doi.org/10.1163/156854100750112798.
Full textLightman, Bernard. "Pope Huxley and the Church Agnostic: The Religion of Science." Historical Papers 18, no. 1 (April 26, 2006): 150–63. http://dx.doi.org/10.7202/030904ar.
Full textMULSANT, P. "Glossaire général." INRAE Productions Animales 24, no. 4 (September 8, 2011): 405–8. http://dx.doi.org/10.20870/productions-animales.2011.24.4.3273.
Full textGUY, G., and L. FORTUN-LAMOTHE. "Avant-propos." INRAE Productions Animales 26, no. 5 (December 19, 2013): 387–90. http://dx.doi.org/10.20870/productions-animales.2013.26.5.3167.
Full textNYS, Y. "Préface." INRAE Productions Animales 23, no. 2 (April 10, 2011): 107–10. http://dx.doi.org/10.20870/productions-animales.2010.23.2.3292.
Full textDissertations / Theses on the topic "Séquençage en lectures longues"
Massicotte, Marie-Ange. "Caractérisation du plasmidome complexe d'Aeromonas salmonicida ssp. salmonicida par séquençage à longues lectures." Master's thesis, Université Laval, 2019. http://hdl.handle.net/20.500.11794/37533.
Full textAeromonas salmonicida subsp. salmonicida is an aquatic pathogen that causes furunculosis to salmonids, especially in fish farms. Antibiotherapy is a common method used to treat this worldwide disease. Unfortunately, its effectiveness is becoming limited due to the presence of drug-resistant strains and even multidrug-resistance strains of the bacterium. The study of these bacterial strains becomes necessary in order to identify the genetic elements responsible for this resistance and to understand how they contribute to the spread of antibiotic resistance. In this study, we focused on the A. salmonicida subsp. salmonicida strain SHY16-3432 to characterize novel genetic elements conferring resistance to antibiotics using long-read sequencing technologies. It allowed us to identify three novel plasmid variants named pAsa9b, pAsa5-3432 and pRAS3-3432, the latter two being responsible for the observed antibiotic resistance. The sequence analysis of these three variants revealed that they all differ from their classical counterparts through the presence or absence of mobile genetic elements. The plasmid pAsa5-3432 carries a new multi-drug resistance region composed of numerous mobile genetics elements that appears to have been acquired through plasmid recombination. As for pRAS3-3432, it contains a new inserted element that has only been reported in the swine pathogen Chlamydia suis. Lastly, the only variation between pAsa9b and the reference plasmid is the absence of an insertion sequence in pAsa9b. Overall, these discoveries highlight the significant implication of mobile genetics elements in the genomic plasticity of A. salmonicida subsp. salmonicida and suggest that this aquatic bacterium has a high capacity to interact with other bacteria, including animal pathogens. Furthermore, the data obtained suggest that the use of long-read sequencing technologies is required to fully decipher the genome of bacteria possessing complex plasmid repertoire, such as A. salmonicida subsp. salmonicida.
Zhang, Panpan. "Étude du paysage des éléments transposables sous forme d'ADN circulaire extrachromosomique et dans l'assemblage des génomes de plantes à l'aide du séquençage en lectures longues." Thesis, Université de Montpellier (2022-….), 2022. http://www.theses.fr/2022UMONG016.
Full textTransposable elements (TEs) are repetitive DNA sequences with the intrinsic ability to move and amplify in genomes. Active transposition of TEs is linked to the formation of extrachromosomal circular DNA (eccDNA). However, the complete landscape of this eccDNA compartment and its interactions with the genome were not well defined. In addition, at the beginning of my thesis, there were no bioinformatics tools available to identify eccDNAs from long-read sequencing data.To address these questions during my PhD, we first developed a tool, called ecc_finder, to automate eccDNA detection from long-read sequencing and optimized detection from short-read sequences to characterize TE mobility. By applying ecc_finder to Arabidopsis, human and wheat eccDNA-seq data (with genome sizes ranging from 120 Mb to 17 Gb), we documented the broad applicability of ecc_finder as well as optimization of computational time, sensitivity and accuracy.In the second project, we developed a meta-assembly tool called SASAR to reconcile the results of different genome assemblies from long-read sequencing data. For different plant species, SASAR obtained high quality genome assemblies in an efficient time and resolved structural variations caused by TEs.In the last project, we used SASAR-assembled genome and ecc_finder-detected eccDNA to characterize eccDNA-genome interactions. In Arabidopsis hypomethylated epigenetic mutants, we highlighted the role of the epigenome in protecting genome stability not only from TE mobility but also from genomic rearrangements and gene chimerism. Overall, our findings on eccDNA, genome assembly and their interactions, as well as the development of tools, offer new insights into the role of TEs in the adaptive evolution of plants to rapid environmental change
Lehmann, Nathalie. "Development of bioinformatics tools for single-cell transcriptomics applied to the search for signatures of symmetric versus asymmetric division mode in neural progenitors." Electronic Thesis or Diss., Université Paris sciences et lettres, 2021. http://www.theses.fr/2021UPSLE070.
Full textIn recent years, single-cell RNA-seq (scRNA-seq) has fostered the characterization of cell heterogeneity at a remarkable high resolution. Despite their democratization, the analysis of scRNA-seq remains a challenge, particularly for organisms whose genomic annotations are partial. During my PhD, I observed that the chick genomic annotations are often incomplete, thus resulting in a loss of a large number of sequencing reads. I investigated how an enriched annotation affects the biological results and conclusions from these analyses. We developed a novel approach based on the re-annotation of the genome with scRNA-seq data and long reads bulk RNA-seq. This computational biology project capitalises on a tight collaboration with the experimental team of Xavier Morin (IBENS). The main biological focus is the search for signatures of symmetric versus asymmetric division mode in neural progenitors. In order to identify the key transcriptional switches that occur during the neurogenic transition, I have implemented bioanalysis approaches dedicated to the search for gene signatures from scRNA-seq data
Ishi, Soares de Lima Leandro. "De novo algorithms to identify patterns associated with biological events in de Bruijn graphs built from NGS data." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1055/document.
Full textThe main goal of this thesis is the development, improvement and evaluation of methods to process massively sequenced data, mainly short and long RNA-sequencing reads, to eventually help the community to answer some biological questions, especially in the transcriptomic and alternative splicing contexts. Our initial objective was to develop methods to process second-generation RNA-seq data through de Bruijn graphs to contribute to the literature of alternative splicing, which was explored in the first three works. The first paper (Chapter 3, paper [77]) explored the issue that repeats bring to transcriptome assemblers if not addressed properly. We showed that the sensitivity and the precision of our local alternative splicing assembler increased significantly when repeats were formally modeled. The second (Chapter 4, paper [11]), shows that annotating alternative splicing events with a single approach leads to missing out a large number of candidates, many of which are significant. Thus, to comprehensively explore the alternative splicing events in a sample, we advocate for the combined use of both mapping-first and assembly-first approaches. Given that we have a huge amount of bubbles in de Bruijn graphs built from real RNA-seq data, which are unfeasible to be analysed in practice, in the third work (Chapter 5, papers [1, 2]), we explored theoretically how to efficiently and compactly represent the bubble space through a bubble generator. Exploring and analysing the bubbles in the generator is feasible in practice and can be complementary to state-of-the-art algorithms that analyse a subset of the bubble space. Collaborations and advances on the sequencing technology encouraged us to work in other subareas of bioinformatics, such as: genome-wide association studies, error correction, and hybrid assembly. Our fourth work (Chapter 6, paper [48]) describes an efficient method to find and interpret unitigs highly associated to a phenotype, especially antibiotic resistance, making genome-wide association studies more amenable to bacterial panels, especially plastic ones. In our fifth work (Chapter 7, paper [76]), we evaluate the extent to which existing long-read DNA error correction methods are capable of correcting high-error-rate RNA-seq long reads. We conclude that no tool outperforms all the others across all metrics and is the most suited in all situations, and that the choice should be guided by the downstream analysis. RNA-seq long reads provide a new perspective on how to analyse transcriptomic data, since they are able to describe the full-length sequences of mRNAs, which was not possible with short reads in several cases, even by using state-of-the-art transcriptome assemblers. As such, in our last work (Chapter 8, paper [75]) we explore a hybrid alternative splicing assembly method, which makes use of both short and long reads, in order to list alternative splicing events in a comprehensive manner, thanks to short reads, guided by the full-length context provided by the long reads
Brinda, Karel. "Nouvelles techniques informatiques pour la localisation et la classification de données de séquençage haut débit." Thesis, Paris Est, 2016. http://www.theses.fr/2016PESC1027/document.
Full textSince their emergence around 2006, Next-Generation Sequencing technologies have been revolutionizing biological and medical research. Obtaining instantly an extensive amount of short or long reads from almost any biological sample enables detecting genomic variants, revealing the composition of species in a metagenome, deciphering cancer biology, decoding the evolution of living or extinct species, or understanding human migration patterns and human history in general. The pace at which the throughput of sequencing technologies is increasing surpasses the growth of storage and computer capacities, which still creates new computational challenges in NGS data processing. In this thesis, we present novel computational techniques for the problems of read mapping and taxonomic classification. With more than a hundred of published mappers, read mapping might be considered fully solved. However, the vast majority of mappers follow the same paradigm and only little attention has been paid to non-standard mapping approaches. Here, we propound the so-called dynamic mapping that we show to significantly improve the resulting alignments compared to traditional mapping approaches. Dynamic mapping is based on exploiting the information from previously computed alignments, helping to improve the mapping of subsequent reads. We provide the first comprehensive overview of this method and demonstrate its qualities using Dynamic Mapping Simulator, a pipeline that compares various dynamic mapping scenarios to static mapping and iterative referencing. An important component of a dynamic mapper is an online consensus caller, i.e., a program collecting alignment statistics and guiding updates of the reference in the online fashion. We provide OCOCO, the first online consensus caller that implements a smart statistics for individual genomic positions using compact bit counters. Beyond its application to dynamic mapping, OCOCO can be employed as an online SNP caller in various analysis pipelines, enabling calling SNPs from a stream without saving the alignments on disk. Metagenomic classification of NGS reads is another major problem studied in the thesis. Having a database of thousands reference genomes placed on a taxonomic tree, the task is to rapidly assign to tree nodes a huge amount of NGS reads, and possibly estimate the relative abundance of involved species. In this thesis, we propose improved computational techniques for this task. In a series of experiments, we show that spaced seeds consistently improve the classification accuracy. We provide Seed-Kraken, a spaced seed extension of Kraken, the most popular classifier at present. Furthermore, we suggest a new indexing strategy based on a BWT-index, obtaining a much smaller and more informative index compared to Kraken. We provide a modified version of BWA that improves the BWT-index for a quick k-mer look-up