Literatura académica sobre el tema "Pangenomics"
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Artículos de revistas sobre el tema "Pangenomics"
Durant, Éloi, François Sabot, Matthieu Conte y Mathieu Rouard. "Panache: a web browser-based viewer for linearized pangenomes". Bioinformatics 37, n.º 23 (2 de octubre de 2021): 4556–58. http://dx.doi.org/10.1093/bioinformatics/btab688.
Texto completoLlamas, Bastien, Giuseppe Narzisi, Valerie Schneider, Peter A. Audano, Evan Biederstedt, Lon Blauvelt, Peter Bradbury et al. "A strategy for building and using a human reference pangenome". F1000Research 8 (29 de julio de 2021): 1751. http://dx.doi.org/10.12688/f1000research.19630.2.
Texto completoLlamas, Bastien, Giuseppe Narzisi, Valerie Schneider, Peter A. Audano, Evan Biederstedt, Lon Blauvelt, Peter Bradbury et al. "A strategy for building and using a human reference pangenome". F1000Research 8 (14 de octubre de 2019): 1751. http://dx.doi.org/10.12688/f1000research.19630.1.
Texto completoGolicz, Agnieszka A., Jacqueline Batley y David Edwards. "Towards plant pangenomics". Plant Biotechnology Journal 14, n.º 4 (23 de noviembre de 2015): 1099–105. http://dx.doi.org/10.1111/pbi.12499.
Texto completoCho, Mildred K., Stephanie Malia Fullerton, Evelynn M. Hammonds, Sandra Soo-Jin Lee, Aaron Panofsky y Jenny Reardon. "Pangenomics: prioritize diversity in collaborations". Nature 619, n.º 7971 (25 de julio de 2023): 698. http://dx.doi.org/10.1038/d41586-023-02248-7.
Texto completoBaaijens, Jasmijn A., Paola Bonizzoni, Christina Boucher, Gianluca Della Vedova, Yuri Pirola, Raffaella Rizzi y Jouni Sirén. "Computational graph pangenomics: a tutorial on data structures and their applications". Natural Computing 21, n.º 1 (marzo de 2022): 81–108. http://dx.doi.org/10.1007/s11047-022-09882-6.
Texto completoDanilevicz, Monica Furaste, Cassandria Geraldine Tay Fernandez, Jacob Ian Marsh, Philipp Emanuel Bayer y David Edwards. "Plant pangenomics: approaches, applications and advancements". Current Opinion in Plant Biology 54 (abril de 2020): 18–25. http://dx.doi.org/10.1016/j.pbi.2019.12.005.
Texto completoAggarwal, Sumit Kumar, Alla Singh, Mukesh Choudhary, Aundy Kumar, Sujay Rakshit, Pardeep Kumar, Abhishek Bohra y Rajeev K. Varshney. "Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives". Genes 13, n.º 4 (27 de marzo de 2022): 598. http://dx.doi.org/10.3390/genes13040598.
Texto completoHu, Haifei, Jian Wang, Shuai Nie, Junliang Zhao, Jacqueline Batley y David Edwards. "Plant pangenomics, current practice and future direction". Agriculture Communications 2, n.º 2 (junio de 2024): 100039. http://dx.doi.org/10.1016/j.agrcom.2024.100039.
Texto completoXiao, Jingfa, Zhewen Zhang, Jiayan Wu y Jun Yu. "A Brief Review of Software Tools for Pangenomics". Genomics, Proteomics & Bioinformatics 13, n.º 1 (febrero de 2015): 73–76. http://dx.doi.org/10.1016/j.gpb.2015.01.007.
Texto completoTesis sobre el tema "Pangenomics"
Ali, Amjad. "Comparative microbial genomics: pangenomics and pathogenomics of corynebacterium, campylobacter and helicobacter". Universidade Federal de Minas Gerais, 2013. http://hdl.handle.net/1843/BUOS-97PJMH.
Texto completoSECOMANDI, SIMONA. "CHROMOSOME-LEVEL DE NOVO GENOME ASSEMBLIES OF AVIAN SPECIES AND THEIR RELEVANCE FOR COMPARATIVE GENOMICS, PANGENOMICS, POPULATION GENOMICS AND SPECIES CONSERVATION". Doctoral thesis, Università degli Studi di Milano, 2022. http://hdl.handle.net/2434/931506.
Texto completoAndreace, Francesco. "Analysis of human pangenome graphs : and other k-mer based applications". Electronic Thesis or Diss., Sorbonne université, 2025. http://www.theses.fr/2025SORUS017.
Texto completoFor over two decades, the human reference genome has laid the ground for human genomic research. However, its power to provide insights has been constrained by the presence of gaps and simulated sequences. In 2022, the Telomere-to-Telomere consortium achieved an important milestone by releasing the first full sequence of an haploid human genome (T2T-CHM13), empowering a new discoveries on the previously missing regions of the genome. Nevertheless, a single genome cannot adequately represent the entire genetic diversity within the human population, in particular large structural variants. To address the inherent reference bias of using a single genome as mean of comparison, the scientific community is transitioning towards pangenomes: these are models that encapsulate multiple alleles from a collection of genomes. The field of computational pangenomics aims at finding new and more efficient pangenome models that can improve the results of reference-based analyses. Among others, the most common pangenome representation is based on graphs. This dissertation presents two primary contributions to computational pangenomics. The first is a comparative analysis of pangenome graph representations, based on the construction of the largest pangenome graph to that date. This analysis compares different graph models, using five state-of-the-art tools, shed-ding light on key differences between the representation, particularly on how they capture genetic variation in complex loci. The second contribution focuses on advanced data structures for k-mer sets representation. In particular, on three novel data structures that focus on improving metadata association, downstream analysis accessibility and scalability. Thesek-mer-based methods aim at facilitating genomic and pangenomic analyses. This dissertation present my contributes to the ongoing evolution of computational pangenomics research
Anani, Hussein. "La génomique bactérienne : un outil puissant pour la taxonomie et les analyses évolutives". Thesis, Aix-Marseille, 2020. http://theses.univ-amu.fr.lama.univ-amu.fr/200702_ANANI_94nya773wjmhky699k81cng_TH.pdf.
Texto completoThe birth of genomics has revolutionized the classification of bacterial taxa. Currently, thanks to the high number of available bacterial genomes (> 250,000) and genome-based taxonomic tools, inferring accurate phylogenomic analyses of human pathogenic bacteria is achievable. During our thesis, we have first highlighted the usefulness of pangenomic analyses in clinical microbiology. In addition, since the taxonomy of Bartonella species, the agents of several human infectious diseases, is poorly understood, we have studied 148 genomes from all Bartonella species in order to determine their genetic relatedness by using several taxonomic tools and generated their first pangenome. Hence, we have defined specific genome-based thresholds for the classification of isolates at the genus and species levels. Furthermore, using the culturomics strategy, we used the taxono-genomics approach to describe 25 new bacterial taxa isolated from a wide spectrum of samples from different countries. Therefore, our results confirm that, in 2020, genomics enables updating the traditional bacterial taxonomy and help to better understand bacterial evolution
Libros sobre el tema "Pangenomics"
Mengoni, Alessio, Giovanni Bacci y Marco Fondi, eds. Bacterial Pangenomics. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1099-2.
Texto completoMengoni, Alessio, Marco Galardini y Marco Fondi, eds. Bacterial Pangenomics. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-1720-4.
Texto completoFondi, Marco, Alessio Mengoni y Marco Galardini. Bacterial pangenomics: Methods and protocols. New York, NY: Humana Press, 2015.
Buscar texto completoFondi, Marco, Alessio Mengoni y Marco Galardini. Bacterial Pangenomics: Methods and Protocols. Springer New York, 2016.
Buscar texto completoFondi, Marco, Giovanni Bacci y Alessio Mengoni. Bacterial Pangenomics: Methods and Protocols. Springer, 2021.
Buscar texto completoCapítulos de libros sobre el tema "Pangenomics"
Fernandez, Cassandria Tay, Jacob Marsh, Mônica Furaste Danilevicz, Clémentine Mercé y David Edwards. "Application of pangenomics for wheat molecular breeding." En Molecular breeding in wheat, maize and sorghum: strategies for improving abiotic stress tolerance and yield, 236–46. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789245431.0013.
Texto completoPriyadharshini, S., P. Samuel, M. Gnanaraj, M. Bala Sundar, M. Rajadurai, D. Rajasudhakar y T. Jebastin. "Pangenomes and Pangenomics in Medicinal Plants". En Biotechnology, Multiple Omics, and Precision Breeding in Medicinal Plants, 70–78. Boca Raton: CRC Press, 2025. https://doi.org/10.1201/9781003475491-6.
Texto completoYildiz, Gözde, Silvia Zanini, Paul Knight y Agnieszka A. Golicz. "Pangenomics in Agriculture". En Next-Generation Sequencing and Agriculture, 163–87. GB: CABI, 2022. http://dx.doi.org/10.1079/9781789247848.0008.
Texto completoKiefer, Christiane. "Im Zeitalter von Genomsequenzierung und Pangenomics". En Genomevolution bei Pflanzen, 33–46. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33025-5_6.
Texto completoKahanda, Indika, Joann Mudge, Buwani Manuweera, Thiruvarangan Ramaraj, Alan Cleary y Brendan Mumey. "Graph-Based Machine Learning Approaches for Pangenomics". En Machine Learning Methods for Multi-Omics Data Integration, 117–32. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36502-7_7.
Texto completoMa, Bing, Michael France y Jacques Ravel. "Meta-Pangenome: At the Crossroad of Pangenomics and Metagenomics". En The Pangenome, 205–18. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38281-0_9.
Texto completoHu, Haifei, Monica Furaste Danilevicz, Chengdao Li y David Edwards. "Pangenomics and Machine Learning in Improvement of Crop Plants". En Advances in Plant Breeding Strategies, 321–47. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-68586-6_12.
Texto completoWilliams, Lucia y Brendan Mumey. "Extending Maximal Perfect Haplotype Blocks to the Realm of Pangenomics". En Algorithms for Computational Biology, 41–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42266-0_4.
Texto completoBonizzoni, Paola, Clelia De Felice, Yuri Pirola, Raffaella Rizzi, Rocco Zaccagnino y Rosalba Zizza. "Can Formal Languages Help Pangenomics to Represent and Analyze Multiple Genomes?" En Developments in Language Theory, 3–12. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05578-2_1.
Texto completoFagorzi, Camilla y Alice Checcucci. "A Compendium of Bioinformatic Tools for Bacterial Pangenomics to Be Used by Wet-Lab Scientists". En Methods in Molecular Biology, 233–43. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1099-2_15.
Texto completoActas de conferencias sobre el tema "Pangenomics"
Strang, Lilja Caitlin y Craig Moyer. "INSIGHTS INTO THE PANGENOMICS OF DEEP SUBSURFACE THERMOCOCCUS ISOLATES". En GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-308295.
Texto completoSu, Hang, Ziwei Chen, Maya L. Najarian, Martin T. Ferris, Fernando Pardo-Manuel de Villena y Leonard McMillan. "A k -mer query tool for assessing population diversity in pangenomes". En BCB '21: 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3459930.3469537.
Texto completoLeonard, A. S. y H. Pausch. "251. Pangenomes of haplotype-resolved assemblies enable population-scale genotyping of cattle structural variation". En World Congress on Genetics Applied to Livestock Production. The Netherlands: Wageningen Academic Publishers, 2022. http://dx.doi.org/10.3920/978-90-8686-940-4_251.
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