Academic literature on the topic 'Genomics analyses'
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Journal articles on the topic "Genomics analyses"
Caulfield, Mark. "6 Translating genomics for clinical benefit." Postgraduate Medical Journal 95, no. 1130 (November 21, 2019): 686.3–686. http://dx.doi.org/10.1136/postgradmedj-2019-fpm.6.
Full textAlam, Intikhab, Mike Cornell, Darren M. Soanes, Cornelia Hedeler, Han Min Wong, Magnus Rattray, Simon J. Hubbard, Nicholas J. Talbot, Stephen G. Oliver, and Norman W. Paton. "A Methodology for Comparative Functional Genomics." Journal of Integrative Bioinformatics 4, no. 3 (December 1, 2007): 112–22. http://dx.doi.org/10.1515/jib-2007-69.
Full textNguyen, Nga Thi Thuy, Pierre Vincens, Jean François Dufayard, Hugues Roest Crollius, and Alexandra Louis. "Genomicus in 2022: comparative tools for thousands of genomes and reconstructed ancestors." Nucleic Acids Research 50, no. D1 (November 18, 2021): D1025—D1031. http://dx.doi.org/10.1093/nar/gkab1091.
Full textWhitworth, David E., Natashia Sydney, and Emily J. Radford. "Myxobacterial Genomics and Post-Genomics: A Review of Genome Biology, Genome Sequences and Related ‘Omics Studies." Microorganisms 9, no. 10 (October 13, 2021): 2143. http://dx.doi.org/10.3390/microorganisms9102143.
Full textNagy, László G., Zsolt Merényi, Botond Hegedüs, and Balázs Bálint. "Novel phylogenetic methods are needed for understanding gene function in the era of mega-scale genome sequencing." Nucleic Acids Research 48, no. 5 (January 16, 2020): 2209–19. http://dx.doi.org/10.1093/nar/gkz1241.
Full textClark, Melody S., Andrew Clarke, Charles S. Cockell, Peter Convey, H. William Detrich III, Keiron P. P. Fraser, Ian A. Johnston, et al. "Antarctic Genomics." Comparative and Functional Genomics 5, no. 3 (2004): 230–38. http://dx.doi.org/10.1002/cfg.398.
Full textKui, Ling, Zhe Zhang, Yangzi Wang, Yesheng Zhang, Shiming Li, Xiao Dong, Qiuju Xia, Jun Sheng, Jian Wang, and Yang Dong. "Genome Assembly and Analyses of the Macrofungus Macrocybe gigantea." BioMed Research International 2021 (January 18, 2021): 1–14. http://dx.doi.org/10.1155/2021/6656365.
Full textGillespie, Joseph J., Alice R. Wattam, Stephen A. Cammer, Joseph L. Gabbard, Maulik P. Shukla, Oral Dalay, Timothy Driscoll, et al. "PATRIC: the Comprehensive Bacterial Bioinformatics Resource with a Focus on Human Pathogenic Species." Infection and Immunity 79, no. 11 (September 6, 2011): 4286–98. http://dx.doi.org/10.1128/iai.00207-11.
Full textCasola, Claudio, and Esther Betrán. "The Genomic Impact of Gene Retrocopies: What Have We Learned from Comparative Genomics, Population Genomics, and Transcriptomic Analyses?" Genome Biology and Evolution 9, no. 6 (June 1, 2017): 1351–73. http://dx.doi.org/10.1093/gbe/evx081.
Full textValentin, Guignon, Toure Abdel, Droc Gaëtan, Dufayard Jean-François, Conte Matthieu, and Rouard Mathieu. "GreenPhylDB v5: a comparative pangenomic database for plant genomes." Nucleic Acids Research 49, no. D1 (November 25, 2020): D1464—D1471. http://dx.doi.org/10.1093/nar/gkaa1068.
Full textDissertations / Theses on the topic "Genomics analyses"
Seibert, Sara Rose. "Host-parasite interactions: comparative analyses of population genomics, disease-associated genomic regions, and host use." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1590585260282244.
Full textSteinberg, Julia. "Functional genomics analyses of neuropsychiatric and neurodevelopmental disorders." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:e47d1ac2-de92-47d8-864b-dac0bf6669e8.
Full textBeghini, Francesco. "Integrative computational microbial genomics for large-scale metagenomic analyses." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/296396.
Full textShultz, Randall William. "Genomic and Molecular Analyses of the Core DNA Replication Machinery in Plants." NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-03132007-124000/.
Full textHerzog, Rebecca [Verfasser]. "Global change genomics - comparative genomic analyses on environmental associated speciation and adaptation processes in Odonata / Rebecca Herzog." Hannover : Gottfried Wilhelm Leibniz Universität, 2021. http://d-nb.info/1238221785/34.
Full textSoares, Siomar de Castro. "Pan-genomic analyses of Corynebacterium pseudotuberculosis and characterization of the biovars ovis and equi through comparative genomics." Universidade Federal de Minas Gerais, 2013. http://hdl.handle.net/1843/BUOS-9B8JTZ.
Full textItou, Junji. "Functional and comparative genomics analyses of pmp22 in medaka fish." Kyoto University, 2009. http://hdl.handle.net/2433/126464.
Full textDumitriu, Alexandra. "Genome-wide expression and genomic data integration analyses in sporadic Parkinson disease." Thesis, Boston University, 2012. https://hdl.handle.net/2144/31542.
Full textParkinson disease (PD) is the second most common neurodegenerative disorder, affecting an estimated 2% of the population above 65 years of age. Although familial forms of PD have been linked to specific mutations responsible for the onset of the disease, the majority of PD cases is still of unknown etiology. PD has been traditionally studied using individual genetic methods, such as linkage analysis, genome-wide association (GWAS), or microarray expression studies. Nevertheless, the intrinsic disease genetic variability, and the unilateral analysis approach of available datasets made the detection of robust gene or pathway signals difficult. Studies of PD that combine a range of systems genetics approaches, and integrate complementary disease-relevant genetic datasets, represent a promising approach for accommodating prior inconsistent, as well as diverse results. To investigate the genetics of idiopathic PD, I performed the largest genome-wide expression study in brain tissue to date. The study was carried out on the 1-color Agilent 60-mer Whole Human Genome Microarray, and included 26 neurologically healthy control and 27 PD samples from the frontal cortex Brodmann 9 area (BA9). The selected brain samples were of high quality (high pH and RNA integrity, no significant signs of Alzheimer disease pathology), and had rich documentation of neuropathological and clinical information available. I analyzed the microarray expression results in combination with genotyping data for PD-associated single nucleotide polymorphisms obtained for the microarray brain samples, and detected a pathway of interest for PD involving the FOXO1 (Forkhead box protein O1) gene. This result was verified in additional publically available expression datasets. I then performed a network-based canonical pathway analysis of PD, combining results from available GWAS, microarray expression, and animal model expression studies. The used analysis framework was a human functional-linkage network (FLN), consisting of genes as nodes, and weighted links indicating the confidence of gene-pair involvement in similar biological processes. I demonstrated the relevance of the used FLN for studying PD. Additionally, I ranked genes and pathways based on the available disease datasets. The frontal cortex BA9 study, and an additional non-PD microarray study were used as the positive and negative controls, respectively, for the obtained results.
Dumitriu, Alexandra. "Genome-wide expression and genomic data integration analyses in sporadic Parkinson Disease." Thesis, Boston University, 2010. https://hdl.handle.net/2144/31542.
Full textPLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
Parkinson disease (PD) is the second most common neurodegenerative disorder, affecting an estimated 2% of the population above 65 years of age. Although familial forms of PD have been linked to specific mutations responsible for the onset of the disease, the majority of PD cases is still of unknown etiology. PD has been traditionally studied using individual genetic methods, such as linkage analysis, genome-wide association (GWAS), or microarray expression studies. Nevertheless, the intrinsic disease genetic variability, and the unilateral analysis approach of available datasets made the detection of robust gene or pathway signals difficult. Studies of PD that combine a range of systems genetics approaches, and integrate complementary disease-relevant genetic datasets, represent a promising approach for accommodating prior inconsistent, as well as diverse results. To investigate the genetics of idiopathic PD, I performed the largest genome-wide expression study in brain tissue to date. The study was carried out on the 1-color Agilent 60-mer Whole Human Genome Microarray, and included 26 neurologically healthy control and 27 PD samples from the frontal cortex Brodmann 9 area (BA9). The selected brain samples were of high quality (high pH and RNA integrity, no significant signs of Alzheimer disease pathology), and had rich documentation of neuropathological and clinical information available. I analyzed the microarray expression results in combination with genotyping data for PD-associated single nucleotide polymorphisms obtained for the microarray brain samples, and detected a pathway of interest for PD involving the FOXO1 (Forkhead box protein O1) gene. This result was verified in additional publically available expression datasets. I then performed a network-based canonical pathway analysis of PD, combining results from available GWAS, microarray expression, and animal model expression studies. The used analysis framework was a human functional-linkage network (FLN), consisting of genes as nodes, and weighted links indicating the confidence of gene-pair involvement in similar biological processes. I demonstrated the relevance of the used FLN for studying PD. Additionally, I ranked genes and pathways based on the available disease datasets. The frontal cortex BA9 study, and an additional non-PD microarray study were used as the positive and negative controls, respectively, for the obtained results.
2031-01-01
Dunning, Mark J. "Genome-wide analyses using bead-based microarrays." Thesis, University of Cambridge, 2008. https://www.repository.cam.ac.uk/handle/1810/218542.
Full textBooks on the topic "Genomics analyses"
service), ScienceDirect (Online. Cryo-EM: Analyses, interpretation, and case studies. San Diego, Calif: Academic Press/Elsevier, 2010.
Find full textBioinformatics: Genomics and post-genomics. Chichester, England: John Wiley & Sons, 2006.
Find full textBickel, David R. Genomics Data Analysis. Boca Raton, FL : CRC Press, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429299308.
Full textD, Protopapas Alex, ed. Genomics. Upper Saddle River, NJ: Prentice-Hall, 2005.
Find full textH, Bergman Nicholas, ed. Comparative genomics. Totowa, NJ: Humana Press, 2007.
Find full textGenome clustering: From linguistic models to classification of genetic texts. Berlin: Springer, 2010.
Find full textFoundations of comparative genomics. Boston, MA: Elsevier Academic Press, 2006.
Find full textNicholas, Housby J., ed. Mass spectrometry and genomic analysis. Dordrecht: Kluwer Academic Publishers, 2001.
Find full textNicholas Housby, J., ed. Mass Spectrometry and Genomic Analysis. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/0-306-47595-2.
Full textPompanon, François, and Aurélie Bonin, eds. Data Production and Analysis in Population Genomics. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-870-2.
Full textBook chapters on the topic "Genomics analyses"
Rampitsch, Christof, and Natalia V. Bykova. "Methods for Functional Proteomic Analyses." In Plant Genomics, 93–110. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-427-8_6.
Full textAoki, Takashi, Carl Tucker, and Ikuo Hirono. "Expressed sequence tag analyses of the Japanese flounder, Paralichthys olivaceus." In Aquatic Genomics, 102–14. Tokyo: Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-65938-9_9.
Full textSankoff, David, Marie-Noelle Parent, and David Bryant. "Accuracy and Robustness of Analyses Based on Numbers of Genes in Observed Segments." In Comparative Genomics, 299–306. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4309-7_27.
Full textUrano, Akihisa, and Hironori Ando. "Quantitative analyses of the levels of hormonal mRNAs in the salmon neuroendocrine system." In Aquatic Genomics, 225–35. Tokyo: Springer Japan, 2003. http://dx.doi.org/10.1007/978-4-431-65938-9_20.
Full textSaxena, Aditya. "Bioinformatics of Meta-analyses of Genomic Data." In Bioinformatics and Human Genomics Research, 331–34. New York: CRC Press, 2021. http://dx.doi.org/10.1201/9781003005926-15.
Full textZhang, Wei, Edward G. Dudley, and Joseph T. Wade. "Genomic and Transcriptomic Analyses of Foodborne Bacterial Pathogens." In Genomics of Foodborne Bacterial Pathogens, 311–41. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7686-4_10.
Full textReid, Adam James, Sarah Addou, Robert Rentzsch, Juan Ranea, and Christine Orengo. "Domain Family Analyses to Understand Protein Function Evolution." In Evolutionary Genomics and Systems Biology, 231–50. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470570418.ch13.
Full textKang, Manjit S. "Genotype-environment interaction and stability analyses: an update." In Quantitative genetics, genomics and plant breeding, 140–61. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789240214.0140.
Full textMuthuramalingam, Meenakumari, Yong-Fang Li, and Ramamurthy Mahalingam. "Genomics-Based Analyses of Environmental Stresses in Crop Plants." In Approaches to Plant Stress and their Management, 383–93. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1620-9_22.
Full textAhrendt, Steven R., Stephen J. Mondo, Sajeet Haridas, and Igor V. Grigoriev. "MycoCosm, the JGI’s Fungal Genome Portal for Comparative Genomic and Multiomics Data Analyses." In Microbial Environmental Genomics (MEG), 271–91. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2871-3_14.
Full textConference papers on the topic "Genomics analyses"
Considine, Michael, Hilary S. Parker, Yingying Wei, Xiao X. Xia, Leslie Cope, Michael F. Ochs, and Elana J. Fertig. "Abstract LB-317: Interactive pipeline for reproducible genomics analyses." In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-lb-317.
Full textGorringe, Kylie L., Matthew Wakefield, Sally M. Hunter, Georgina L. Ryland, Dane Cheasley, Michael S. Anglesio, Michael Christie, et al. "Abstract B08: Genomics analyses of less common epithelial ovarian cancer subtypes." In Abstracts: AACR Special Conference: Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; October 17-20, 2015; Orlando, FL. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1557-3265.ovca15-b08.
Full textJammula, Nagakishore, Sriram P. Chockalingam, and Srinivas Aluru. "Distributed Memory Partitioning of High-Throughput Sequencing Datasets for Enabling Parallel Genomics Analyses." In BCB '17: 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3107411.3107491.
Full textRuddle, Roy A., Waleed Fateen, Darren Treanor, Peter Sondergeld, and Phil Ouirke. "Leveraging wall-sized high-resolution displays for comparative genomics analyses of copy number variation." In 2013 IEEE Symposium on Biological Data Visualization (BioVis). IEEE, 2013. http://dx.doi.org/10.1109/biovis.2013.6664351.
Full textAndersen, Jesper Boeje, Matthew Gillen, Elisabeth A. Conner, Valentina M. Factor, and Snorri S. Thorgeirsson. "Abstract 4927: Translational genomics analyses of cholangiocarcinoma identify patients who may respond to tyrosine kinase inhibitors." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-4927.
Full textReinhold, William C., Sudir Varma, Yang-Hsin Wang, Fathi Elloumi, and Yves Pommier. "Abstract 2488: CellMinerCDB and CellMiner web-applications for genomics and pharmacogenomics analyses of cancer cell lines." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-2488.
Full textReinhold, William C., Sudir Varma, Yang-Hsin Wang, Fathi Elloumi, and Yves Pommier. "Abstract 2488: CellMinerCDB and CellMiner web-applications for genomics and pharmacogenomics analyses of cancer cell lines." In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.am2019-2488.
Full textHarris, Faye R., Geoffrey C. Halling, Marc A. Becker, Paul Haluska, George Vasmatzis, and Irina V. Kovtun. "Abstract 13: Individualized approach for ovarian cancer: Identification of potential therapeutic targets based on genomic analyses, testing efficiency of treatments, and monitoring." In Abstracts: AACR Precision Medicine Series: Integrating Clinical Genomics and Cancer Therapy; June 13-16, 2015; Salt Lake City, UT. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1557-3265.pmsclingen15-13.
Full textAbdullah, Tariq, and Ahmed Ahmet. "Genomics Analyser." In UCC '17: 10th International Conference on Utility and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3148055.3148072.
Full textTakahashi, Hideaki, Kohei Shitara, Takeshi Kuwata, Yoichi Naito, Shingo Matsumoto, Wataru Okamoto, Seiji Niho, et al. "Abstract B29: Feasibility of amplicon sequencing using a pan-cancer gene panel with pre-treatment biopsy samples of (Japanese) patients with advanced solid tumors: Analyses of Biopsy Samples for Cancer Genomics (ABC) study." In Abstracts: AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics--Oct 19-23, 2013; Boston, MA. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1535-7163.targ-13-b29.
Full textReports on the topic "Genomics analyses"
Katzir, Nurit, James Giovannoni, Marla Binzel, Efraim Lewinsohn, Joseph Burger, and Arthur Schaffer. Genomic Approach to the Improvement of Fruit Quality in Melon (Cucumis melo) and Related Cucurbit Crops II: Functional Genomics. United States Department of Agriculture, January 2010. http://dx.doi.org/10.32747/2010.7592123.bard.
Full textZhang, Hongbin B., David J. Bonfil, and Shahal Abbo. Genomics Tools for Legume Agronomic Gene Mapping and Cloning, and Genome Analysis: Chickpea as a Model. United States Department of Agriculture, March 2003. http://dx.doi.org/10.32747/2003.7586464.bard.
Full textKatzir, Nurit, James Giovannoni, and Joseph Burger. Genomic approach to the improvement of fruit quality in melon (Cucumis melo) and related cucurbit crops. United States Department of Agriculture, June 2006. http://dx.doi.org/10.32747/2006.7587224.bard.
Full textLers, Amnon, and Gan Susheng. Study of the regulatory mechanism involved in dark-induced Postharvest leaf senescence. United States Department of Agriculture, January 2009. http://dx.doi.org/10.32747/2009.7591734.bard.
Full textCollins, Colin C. A Genomics Approach to Tumor Gemome Analysis. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada410900.
Full textHeifetz, Yael, and Michael Bender. Success and failure in insect fertilization and reproduction - the role of the female accessory glands. United States Department of Agriculture, December 2006. http://dx.doi.org/10.32747/2006.7695586.bard.
Full textEl-Sayed, Najib M. A. High Throughput Technologies for Functional Analysis of Archael Genomics. Office of Scientific and Technical Information (OSTI), September 1998. http://dx.doi.org/10.2172/899965.
Full textTamanaha, C. R., S. P. Mulvaney, K. A. Wahowski, M. C. Tondra, L. J. Whitman, and R. J. Colton. Cellular Genomic Analysis with GMR Sensor Arrays. Fort Belvoir, VA: Defense Technical Information Center, October 2003. http://dx.doi.org/10.21236/ada482671.
Full textStern, David. Hidden Chloroplast Functions Revealed Through Deep Genomic Analysis. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1409823.
Full textPrice, Lance B. Genomic Analysis of Complex Microbial Communities in Wounds. Fort Belvoir, VA: Defense Technical Information Center, July 2009. http://dx.doi.org/10.21236/ada585789.
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