Auswahl der wissenschaftlichen Literatur zum Thema „Transcriptomic data management“
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Zeitschriftenartikel zum Thema "Transcriptomic data management"
Ortiz, Randy, Priyanka Gera, Christopher Rivera und Juan C. Santos. „Pincho: A Modular Approach to High Quality De Novo Transcriptomics“. Genes 12, Nr. 7 (22.06.2021): 953. http://dx.doi.org/10.3390/genes12070953.
Der volle Inhalt der QuelleHynst, Jakub, Karla Plevova, Lenka Radova, Vojtech Bystry, Karol Pal und Sarka Pospisilova. „Bioinformatic pipelines for whole transcriptome sequencing data exploitation in leukemia patients with complex structural variants“. PeerJ 7 (12.06.2019): e7071. http://dx.doi.org/10.7717/peerj.7071.
Der volle Inhalt der QuelleKrishnan, Vidya S., und 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, Nr. 11 (30.05.2022): 6130. http://dx.doi.org/10.3390/ijms23116130.
Der volle Inhalt der QuelleSauta, 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 (28.11.2023): 1863. http://dx.doi.org/10.1182/blood-2023-186222.
Der volle Inhalt der QuelleDunn, Jemma, Vasileios P. Lenis, David A. Hilton, Rolf Warta, Christel Herold-Mende, C. Oliver Hanemann und Matthias E. Futschik. „Integration and Comparison of Transcriptomic and Proteomic Data for Meningioma“. Cancers 12, Nr. 11 (05.11.2020): 3270. http://dx.doi.org/10.3390/cancers12113270.
Der volle Inhalt der QuelleHuang, Kexin, Yun Zhang, Haoran Gong, Zhengzheng Qiao, Tiangang Wang, Weiling Zhao, Liyu Huang und Xiaobo Zhou. „Inferring evolutionary trajectories from cross-sectional transcriptomic data to mirror lung adenocarcinoma progression“. PLOS Computational Biology 19, Nr. 5 (25.05.2023): e1011122. http://dx.doi.org/10.1371/journal.pcbi.1011122.
Der volle Inhalt der QuelleChen, Huapu, Zhiyuan Li, Yaorong Wang, Hai Huang, Xuewei Yang, Shuangfei Li, Wei Yang und Guangli Li. „Comparison of Gonadal Transcriptomes Uncovers Reproduction-Related Genes with Sexually Dimorphic Expression Patterns in Diodon hystrix“. Animals 11, Nr. 4 (07.04.2021): 1042. http://dx.doi.org/10.3390/ani11041042.
Der volle Inhalt der QuelleLindholm-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 (06.11.2023): 94–95. http://dx.doi.org/10.1093/jas/skad281.115.
Der volle Inhalt der QuelleBao, Riyue, Lei Huang, Jorge Andrade, Wei Tan, Warren A. Kibbe, Hongmei Jiang und Gang Feng. „Review of Current Methods, Applications, and Data Management for the Bioinformatics Analysis of Whole Exome Sequencing“. Cancer Informatics 13s2 (Januar 2014): CIN.S13779. http://dx.doi.org/10.4137/cin.s13779.
Der volle Inhalt der QuelleFranses, Joseph W., Michael J. Raabe, Amaya Pankaj, Bidish Patel, Avril Coley, Irun Bhan, Martin Aryee und David T. Ting. „Abstract PO016: Spatial transcriptomic profiling to characterize the tumor-vascular interactome of hepatocellular carcinoma“. Clinical Cancer Research 28, Nr. 17_Supplement (01.09.2022): PO016. http://dx.doi.org/10.1158/1557-3265.liverca22-po016.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuellePrecise 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
Buchteile zum Thema "Transcriptomic data management"
Ijaz, Muhammad, und 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.
Der volle Inhalt der Quellevan Dam, Pieter-Jan, und Steven Van Laere. „Molecular profiling in cancer research and personalized medicine“. In Oxford Textbook of Cancer Biology, herausgegeben von Francesco Pezzella, Mahvash Tavassoli und David J. Kerr, 347–62. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198779452.003.0024.
Der volle Inhalt der QuelleKumar, Hithesh, Vivek Chandramohan, Smrithy M. Simon, Rahul Yadav und 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.
Der volle Inhalt der QuelleNurain, 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.
Der volle Inhalt der QuelleSwargam, Sandeep, und 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.
Der volle Inhalt der QuellePapadopoulou, Paraskevi, Anastasia Misseyanni und 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.
Der volle Inhalt der QuelleVerma, Renu, Parameswar Sahu, Aarti Rana, Sandeep Swargam und 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.
Der volle Inhalt der QuellePatil, Bheemshetty S., Pallavi S. Kanthe, Prachi P. Parvatikar und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Transcriptomic data management"
Bloch, G., und 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.
Der volle Inhalt der QuelleCrowley, David E., Dror Minz und Yitzhak Hadar. Shaping Plant Beneficial Rhizosphere Communities. United States Department of Agriculture, Juli 2013. http://dx.doi.org/10.32747/2013.7594387.bard.
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