Literatura científica selecionada sobre o tema "Transcriptomic data management"
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Artigos de revistas sobre o assunto "Transcriptomic data management"
Ortiz, Randy, Priyanka Gera, Christopher Rivera e Juan C. Santos. "Pincho: A Modular Approach to High Quality De Novo Transcriptomics". Genes 12, n.º 7 (22 de junho de 2021): 953. http://dx.doi.org/10.3390/genes12070953.
Texto completo da fonteHynst, Jakub, Karla Plevova, Lenka Radova, Vojtech Bystry, Karol Pal e Sarka Pospisilova. "Bioinformatic pipelines for whole transcriptome sequencing data exploitation in leukemia patients with complex structural variants". PeerJ 7 (12 de junho de 2019): e7071. http://dx.doi.org/10.7717/peerj.7071.
Texto completo da fonteKrishnan, Vidya S., e Sulev Kõks. "Transcriptional Basis of Psoriasis from Large Scale Gene Expression Studies: The Importance of Moving towards a Precision Medicine Approach". International Journal of Molecular Sciences 23, n.º 11 (30 de maio de 2022): 6130. http://dx.doi.org/10.3390/ijms23116130.
Texto completo da fonteSauta, Elisabetta, Matteo Zampini, Daniele Dall'Olio, Claudia Sala, Gabriele Todisco, Erica Travaglino, Luca Lanino et al. "Combining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes". Blood 142, Supplement 1 (28 de novembro de 2023): 1863. http://dx.doi.org/10.1182/blood-2023-186222.
Texto completo da fonteDunn, Jemma, Vasileios P. Lenis, David A. Hilton, Rolf Warta, Christel Herold-Mende, C. Oliver Hanemann e Matthias E. Futschik. "Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma". Cancers 12, n.º 11 (5 de novembro de 2020): 3270. http://dx.doi.org/10.3390/cancers12113270.
Texto completo da fonteHuang, Kexin, Yun Zhang, Haoran Gong, Zhengzheng Qiao, Tiangang Wang, Weiling Zhao, Liyu Huang e Xiaobo Zhou. "Inferring evolutionary trajectories from cross-sectional transcriptomic data to mirror lung adenocarcinoma progression". PLOS Computational Biology 19, n.º 5 (25 de maio de 2023): e1011122. http://dx.doi.org/10.1371/journal.pcbi.1011122.
Texto completo da fonteChen, Huapu, Zhiyuan Li, Yaorong Wang, Hai Huang, Xuewei Yang, Shuangfei Li, Wei Yang e Guangli Li. "Comparison of Gonadal Transcriptomes Uncovers Reproduction-Related Genes with Sexually Dimorphic Expression Patterns in Diodon hystrix". Animals 11, n.º 4 (7 de abril de 2021): 1042. http://dx.doi.org/10.3390/ani11041042.
Texto completo da fonteLindholm-Perry, Amanda. "90 Leveraging the Potential of Molecular and Genetic Markers to Improve Feed Efficiency in Beef Cattle". Journal of Animal Science 101, Supplement_3 (6 de novembro de 2023): 94–95. http://dx.doi.org/10.1093/jas/skad281.115.
Texto completo da fonteBao, Riyue, Lei Huang, Jorge Andrade, Wei Tan, Warren A. Kibbe, Hongmei Jiang e Gang Feng. "Review of Current Methods, Applications, and Data Management for the Bioinformatics Analysis of Whole Exome Sequencing". Cancer Informatics 13s2 (janeiro de 2014): CIN.S13779. http://dx.doi.org/10.4137/cin.s13779.
Texto completo da fonteFranses, Joseph W., Michael J. Raabe, Amaya Pankaj, Bidish Patel, Avril Coley, Irun Bhan, Martin Aryee e David T. Ting. "Abstract PO016: Spatial transcriptomic profiling to characterize the tumor-vascular interactome of hepatocellular carcinoma". Clinical Cancer Research 28, n.º 17_Supplement (1 de setembro de 2022): PO016. http://dx.doi.org/10.1158/1557-3265.liverca22-po016.
Texto completo da fonteTeses / dissertações sobre o assunto "Transcriptomic data management"
Bouvier, Matteo. "Identification et contrôle de réseaux de régulation de gènes". Electronic Thesis or Diss., Lyon, École normale supérieure, 2023. http://www.theses.fr/2023ENSL0117.
Texto completo da fontePrecise inference of Gene Regulatory Networks (GRNs) remains to this day a challenging task in the systems biology field but would allow us to explain the processes of cellular decision-making. Previous work in our team has led to the proposal of an iterative GRN inference algorithm that does not produce a single GRN but rather an ensemble of executable candidate networks. This thesis proposes a strategy for GRN selection from an ensemble that relies on design of experiments. First, we introduce two Python libraries for the storage and manipulation of the very large datasets generated by the simulation of our GRNs. These libraries control the memory footprint of large and dense matrices. Then, we propose a design of experiment strategy for selecting networks. A small number of promising perturbations is selected by topological analysis of the GRNs. Perturbations are simulated and the most discriminative is chosen. Finally, we developed an algorithm for controlling GRNs by determining the sequence of stimuli to apply to reach a desired cell state. A proof of concept is presented
Capítulos de livros sobre o assunto "Transcriptomic data management"
Ijaz, Muhammad, e Muhammad Muddassir Ali. "Next-generation Sequencing in Veterinary Medicine Technologies to Improve Diagnosis, Control, and Management of Livestock Diseases". In Recent Trends In Livestock Innovative Technologies, 170–87. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165074123070015.
Texto completo da fontevan Dam, Pieter-Jan, e Steven Van Laere. "Molecular profiling in cancer research and personalized medicine". In Oxford Textbook of Cancer Biology, editado por Francesco Pezzella, Mahvash Tavassoli e David J. Kerr, 347–62. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779452.003.0024.
Texto completo da fonteKumar, Hithesh, Vivek Chandramohan, Smrithy M. Simon, Rahul Yadav e Shashi Kumar. "Big Data Analysis Techniques for Visualization of Genomics in Medicinal Plants". In Advances in Data Mining and Database Management, 749–81. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3142-5.ch026.
Texto completo da fonteNurain, Ismaila O. "Phytoinformatics in Disease Management". In Therapeutic Use of Plant Secondary Metabolites, 343–64. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815050622122010017.
Texto completo da fonteSwargam, Sandeep, e Indu Kumari. "An Introduction to the Integration of Systems Biology and OMICS data for Animal Scientists". In Systems Biology, Bioinformatics and Livestock Science, 1–16. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165616123010006.
Texto completo da fontePapadopoulou, Paraskevi, Anastasia Misseyanni e Christina Marouli. "Current Environmental Health Challenges". In Handbook of Research on Emerging Developments and Environmental Impacts of Ecological Chemistry, 1–37. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1241-8.ch001.
Texto completo da fonteVerma, Renu, Parameswar Sahu, Aarti Rana, Sandeep Swargam e Indu Kumari. "Single Cell RNA-Sequencing and Its Application in Livestock Animals". In Systems Biology, Bioinformatics and Livestock Science, 226–42. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165616123010015.
Texto completo da fontePatil, Bheemshetty S., Pallavi S. Kanthe, Prachi P. Parvatikar e Aravind V. Patil. "Genomics to Systems Biology in Livestock Management: its Applications and Future Perspective". In Systems Biology, Bioinformatics and Livestock Science, 260–78. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165616123010017.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Transcriptomic data management"
BenHamadou1, Alexandra Leitao, Zenaba Khatir, Noora Al-Shamary, Hassan Hassan, Zainab Hizan, Aisha Al-Ashwal, Mark Chatting et al. "Pearl Oyster: From National Icon To Guardian of Qatar's Marine Environment". In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0051.
Texto completo da fonteRelatórios de organizações sobre o assunto "Transcriptomic data management"
Bloch, G., e H. S. Woodard. regulation of size related division of labor in a key pollinator and its impact on crop pollination efficacy. Israel: United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134168.bard.
Texto completo da fonteCrowley, David E., Dror Minz e Yitzhak Hadar. Shaping Plant Beneficial Rhizosphere Communities. United States Department of Agriculture, julho de 2013. http://dx.doi.org/10.32747/2013.7594387.bard.
Texto completo da fonte