Academic literature on the topic 'Genomic analysi'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Genomic analysi.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Genomic analysi"
Barazandeh, A., M. R. Mohammadabadi, M. Ghaderi-Zefrehei, and H. Nezamabadi-pour. "Genome-wide analysis of CpG islands in some livestock genomes and their relationship with genomic features." Czech Journal of Animal Science 61, No. 11 (November 17, 2016): 487–95. http://dx.doi.org/10.17221/78/2015-cjas.
Full textCaulfield, 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 textSurrey, Lea F., Minjie Luo, Fengqi Chang, and Marilyn M. Li. "The Genomic Era of Clinical Oncology: Integrated Genomic Analysis for Precision Cancer Care." Cytogenetic and Genome Research 150, no. 3-4 (2016): 162–75. http://dx.doi.org/10.1159/000454655.
Full textBertelli, Claire, Keith E. Tilley, and Fiona S. L. Brinkman. "Microbial genomic island discovery, visualization and analysis." Briefings in Bioinformatics 20, no. 5 (June 3, 2018): 1685–98. http://dx.doi.org/10.1093/bib/bby042.
Full textKerdprasop, Nittaya, and Kittisak Kerdprasop. "Constraint-Based System for Genomic Analysis." International Journal of Information and Education Technology 5, no. 2 (2015): 119–23. http://dx.doi.org/10.7763/ijiet.2015.v5.487.
Full textBarron-Montenegro, Rocío, Rodrigo García, Fernando Dueñas, Dácil Rivera, Andrés Opazo-Capurro, Stephen Erickson, and Andrea I. Moreno-Switt. "Comparative Analysis of Felixounavirus Genomes Including Two New Members of the Genus That Infect Salmonella Infantis." Antibiotics 10, no. 7 (July 2, 2021): 806. http://dx.doi.org/10.3390/antibiotics10070806.
Full textBlanca, Léo, Eugène Christo-Foroux, Sofia Rigou, and Matthieu Legendre. "Comparative Analysis of the Circular and Highly Asymmetrical Marseilleviridae Genomes." Viruses 12, no. 11 (November 7, 2020): 1270. http://dx.doi.org/10.3390/v12111270.
Full textDhanapal, Arun Prabhu, and Mahalingam Govindaraj. "Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant Improvement." Genetics Research International 2015 (March 19, 2015): 1–15. http://dx.doi.org/10.1155/2015/684321.
Full textVilen, Heikki, Juha-Matti Aalto, Anna Kassinen, Lars Paulin, and Harri Savilahti. "A Direct Transposon Insertion Tool for Modification and Functional Analysis of Viral Genomes." Journal of Virology 77, no. 1 (January 1, 2003): 123–34. http://dx.doi.org/10.1128/jvi.77.1.123-134.2003.
Full textSalamon, Hugh, Midori Kato-Maeda, Peter M. Small, Jorg Drenkow, and Thomas R. Gingeras. "Detection of Deleted Genomic DNA Using a Semiautomated Computational Analysis of GeneChip Data." Genome Research 10, no. 12 (November 21, 2000): 2044–54. http://dx.doi.org/10.1101/gr.152900.
Full textDissertations / Theses on the topic "Genomic analysi"
DI, CANITO ALESSANDRA. "Genomic and functional analysis of Rhodococcus strains to identify genes and degradative functions for soil quality evaluation." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241307.
Full textSoil quality has been one of the major issues of the last decades, because of the increase of anthropogenic pollution. Soil contains organisms involved in vital functions (nutrient/hydrological cycles and degradation of toxic compounds). Under stress conditions, soil microorganisms undergo several alterations so molecular technologies use microbial communities as an ecological parameter in monitoring polluted sites. Bacteria belonging to Rhodococcus genus have an important role in recalcitrant compound degradations. It is a metabolically versatile genus, widely distributed in nature. Rhodococcus spp. can degrade a wide range of organic compounds (aliphatic/aromatic hydrocarbons, heterocyclic, nitriles, sulfuric, herbicides) and to survive in presence of toxic compounds, carbon starvation, UV irradiation and osmotic stress. In line with their catabolic diversity, they possess large and complex genomes, containing a multiplicity of catabolic genes, high genetic redundancy and a sophisticated regulatory network. The aim of this project is to obtain molecular tools to use as "marker" sequences for soil assessment, through analysis of metabolic pathways and catabolic gene clusters involved in the degradation of the most diffused environmental contaminants. In particular, this work focused the attention on three Rhodococcus strain genomes: R. opacus R7, R. aetherivorans BCP1 and R. erythropolis MI2. A Phenotype Microarray approach was used to evaluate R7 and BCP1 strains metabolic potential and their stress response. Also, the capability to utilize various contaminants (aliphatic hydrocarbons and cycloalkanes, aromatic compounds, polycyclic aromatic compounds, naphthenic acids and other carboxylic acids) and to persist under stress conditions (high osmolarity, pH stress, toxic compounds, antibiotics) was tested. A genome-based approach was used to relate their abilities to genetic determinants involved in the analysed metabolisms (naphthalene, o-xylene, n-alkanes, naphthenic acids, phenols, phthalate) and in their environmental persistence. In particular, o-xylene and naphthenic acids degradations were investigated in R. opacus R7. Computational and molecular analyses revealed the putative involvement of several genes in these degradation pathways. R7 can degrade o-xylene by the induction of the akb genes (deoxygenation) producing the corresponding dihydrodiol. Likewise, the redundancy of sequences encoding for monooxygenases/hydroxylases (prmA and pheA1A2A3), supports the involvement of other genes that induce the formation of phenols, converging to the phenol oxidation path. The activation of converging oxygenase systems represents a strategy in Rhodococcus genus to degrade recalcitrant compounds and to persist in contaminated environments. NAs degradation pathway is not fully clear but two main routes have been proposed: i) aromatization of the cyclohexane ring ii) activation as CoA thioester. RT and RT-qPCR results showed that R. opacus R7 degrade cyclohexanecarboxylic acid (CHCA) molecule (used as a model) by a cyclohexane carboxylate CoA ligase (aliA). An application of this work was demonstrated by a microcosm approach, simulating a bioaugmentation process with R7 strain. Autochthone bacteria and R7 capabilities to degrade CHCA were evaluated and compared; results indicated that R7 can degrade the contaminant faster than the microbial community and that its contribute increased CHCA degradation rate. The degradation rate was followed by RT and RT-qPCR, monitoring the expression of the aliA gene. Moreover, a biotechnological application was investigated in R. erythropolis MI2, studying the disulfide 4,4-dithiodibutyric acid (DTDB) degradation pathway. DTDB is a promising substrate for polythioester (PTE) synthesis; indeed, its degradation produces the PTE building block 4-mercaptobutyric acid. The aim was pursued generating R. erythropolis MI2 marker-free deletion mutants for genes involved in the final steps of the pathway.
Wong, Chi-fat, and 黃志發. "Genome sequencing and comparative genomic analysis of Pseudomonas mendocina DLHK." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hdl.handle.net/10722/197162.
Full textpublished_or_final_version
Biological Sciences
Master
Master of Philosophy
Bertoldi, Loris. "Bioinformatics for personal genomics: development and application of bioinformatic procedures for the analysis of genomic data." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3421950.
Full textNell’ultimo decennio, l’enorme diminuzione del costo del sequenziamento dovuto allo sviluppo di tecnologie ad alto rendimento ha completamente rivoluzionato il modo di approcciare i problemi genetici. In particolare, il sequenziamento dell’intero esoma e dell’intero genoma stanno contribuendo ad un progresso straordinario nello studio delle varianti genetiche umane, aprendo nuove prospettive nella medicina personalizzata. Essendo un campo relativamente nuovo e in rapido sviluppo, strumenti appropriati e conoscenze specializzate sono richieste per un’efficiente produzione e analisi dei dati. Per rimanere al passo con i tempi, nel 2014, l’Università degli Studi di Padova ha finanziato il progetto strategico BioInfoGen con l’obiettivo di sviluppare tecnologie e competenze nella bioinformatica e nella biologia molecolare applicate alla genomica personalizzata. Lo scopo del mio dottorato è stato quello di contribuire a questa sfida, implementando una serie di strumenti innovativi, al fine di applicarli per investigare e possibilmente risolvere i casi studio inclusi all’interno del progetto. Inizialmente ho sviluppato una pipeline per analizzare i dati Illumina, capace di eseguire in sequenza tutti i processi necessari per passare dai dati grezzi alla scoperta delle varianti sia germinali che somatiche. Le prestazioni del sistema sono state testate mediante controlli interni e tramite la sua applicazione su un gruppo di pazienti affetti da tumore gastrico, ottenendo risultati interessanti. Dopo essere state chiamate, le varianti devono essere annotate al fine di definire alcune loro proprietà come la posizione a livello del trascritto e della proteina, l’impatto sulla sequenza proteica, la patogenicità, ecc. Poiché la maggior parte degli annotatori disponibili presentavano errori sistematici che causavano una bassa coerenza nell’annotazione finale, ho implementato VarPred, un nuovo strumento per l’annotazione delle varianti, che garantisce la migliore accuratezza (>99%) comparato con lo stato dell’arte, mostrando allo stesso tempo buoni tempi di esecuzione. Per facilitare l’utilizzo di VarPred, ho sviluppato un’interfaccia web molto intuitiva, che permette non solo la visualizzazione grafica dei risultati, ma anche una semplice strategia di filtraggio. Inoltre, per un’efficace prioritizzazione mediata dall’utente delle varianti umane, ho sviluppato QueryOR, una piattaforma web adatta alla ricerca all’interno dei geni causativi, ma utile anche per trovare nuove associazioni gene-malattia. QueryOR combina svariate caratteristiche innovative che lo rendono comprensivo, flessibile e facile da usare. La prioritizzazione è raggiunta tramite un processo di selezione positiva che fa emergere le varianti maggiormente significative, piuttosto che filtrare quelle che non soddisfano i criteri imposti. QueryOR è stato usato per analizzare i due casi studio inclusi all’interno del progetto BioInfoGen. In particolare, ha permesso di scoprire le varianti causative dei pazienti affetti da malattie da accumulo lisosomiale, evidenziando inoltre l’efficacia del pannello di sequenziamento sviluppato. Dall’altro lato invece QueryOR ha semplificato l’individuazione del gene LRP2 come possibile candidato per spiegare i soggetti con un fenotipo simile alla malattia di Dent, ma senza alcuna mutazione nei due geni precedentemente descritti come causativi, CLCN5 e OCRL. Come corollario finale, è stata effettuata un’analisi estensiva su varianti esomiche ricorrenti, mostrando come la loro origine possa essere principalmente spiegata da imprecisioni nel genoma di riferimento, tra cui regioni mal assemblate e basi non corrette, piuttosto che da errori piattaforma-specifici.
Mungall, Christopher. "Next-generation information systems for genomics." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5020.
Full textChen, Yuansha. "Comparative genomic analysis of Vibrio cholerae O31 capsule, O-antigen, pathogenesis and genome /." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/4112.
Full textThesis research directed by: Marine-Estuarine-Environmental Sciences. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Danks, Jacob R. "Algorithm Optimizations in Genomic Analysis Using Entropic Dissection." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804921/.
Full textSinha, Amit U. "Discovery and analysis of genomic patterns applications to transcription factor binding and genome rearrangement /." Cincinnati, Ohio : University of Cincinnati, 2008. http://www.ohiolink.edu/etd/view.cgi?1204227723.
Full textAdvisor: Raj Bhatnagar. Title from electronic thesis title page (viewed April 24, 2008). Keywords: computational biology; bioinformatics; transcription factor; genome rearrangement. Includes abstract. Includes bibliographical references.
Morlot, Jean-Baptiste. "Annotation of the human genome through the unsupervised analysis of high-dimensional genomic data." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066641/document.
Full textThe human body has more than 200 different cell types each containing an identical copy of the genome but expressing a different set of genes. The control of gene expression is ensured by a set of regulatory mechanisms acting at different scales of time and space. Several diseases are caused by a disturbance of this system, notably some cancers, and many therapeutic applications, such as regenerative medicine, rely on understanding the mechanisms of gene regulation. This thesis proposes, in a first part, an annotation algorithm (GABI) to identify recurrent patterns in the high-throughput sequencing data. The particularity of this algorithm is to take into account the variability observed in experimental replicates by optimizing the rate of false positive and false negative, increasing significantly the annotation reliability compared to the state of the art. The annotation provides simplified and robust information from a large dataset. Applied to a database of regulators activity in hematopoiesis, we propose original results, in agreement with previous studies. The second part of this work focuses on the 3D organization of the genome, intimately linked to gene expression. This structure is now accessible thanks to 3D reconstruction algorithm from contact data between chromosomes. We offer improvements to the currently most efficient algorithm of the domain, ShRec3D, allowing to adjust the reconstruction according to the user needs
SINHA, AMIT U. "Discovery and Analysis of Genomic Patterns: Applications to Transcription Factor Binding and Genome Rearrangement." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204227723.
Full textSchiavo, Giuseppina <1986>. "Analysis of the pig genome for the identification of genomic regions affecting production traits." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6919/1/Schiavo_Giuseppina_Tesi_Dottorato_XVII_ciclo.pdf.
Full textBooks on the topic "Genomic analysi"
Genome clustering: From linguistic models to classification of genetic texts. Berlin: Springer, 2010.
Find full textY, Galperin Michael, and Koonin Eugene V, eds. Frontiers in computational genomics. Norfolk, U.K: Caister, 2003.
Find full textL, Smith Cassandra, and Human Genome Project, eds. Genomics: The science and technology behind the Human Genome Project. New York: Wiley, 1999.
Find full textBioinformatics: Genomics and post-genomics. Chichester, England: John Wiley & Sons, 2006.
Find full textP, Jauhar Prem, ed. Methods of genome analysis in plants. Boca Raton: CRC Press, 1996.
Find full textPer, Sunnerhagen, and Piškur Jure, eds. Comparative genomics: Using fungi as models. Berlin: Springer, 2006.
Find full textde, Bruijn F. J., Lupski James R. 1957-, and Weinstock George M. 1949-, eds. Bacterial genomes: Physical structure and analysis. New York: Kluwer Academic, 1999.
Find full textde, Bruijn F. J., Lupski James R. 1957-, and Weinstock George M. 1949-, eds. Bacterial genomes: Physical structure and analysis. New York: Chapman & Hall, 1998.
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 textIndia) National Seminar on "Genome Analysis Perspective in the Post-Genomic Era and its Relevance to Society" (2007 Hyderabad. Genome analysis perspective in the post-genomic era and its relevance to society. Hyderabad: School of Human Genome Research and Genetic Disorders and School of Biotechnology, Mahatma Gandhi National Institute of Research and Social Action, 2007.
Find full textBook chapters on the topic "Genomic analysi"
Gill, Bikram S. "A Century of Cytogenetic and Genome Analysis: Impact on Wheat Crop Improvement." In Wheat Improvement, 277–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_16.
Full textChaitanya, K. V. "Orgenellar Genome Analysis." In Genome and Genomics, 89–119. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0702-1_4.
Full textAhmad Dar, Mayasar, and Deepmala Sharma. "Revisiting the Genomics and Genetic Codes Using Walsh-Hadamard Spectrum Analysis." In Proceedings of the Conference BioSangam 2022: Emerging Trends in Biotechnology (BIOSANGAM 2022), 106–13. Dordrecht: Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-020-6_11.
Full textHunter, Sally M., Amy E. McCart Reed, Ian G. Campbell, and Kylie L. Gorringe. "Genomic Analysis." In Molecular Pathology in Cancer Research, 83–106. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6643-1_5.
Full textContreras-Moreira, Bruno, Guy Naamati, Marc Rosello, James E. Allen, Sarah E. Hunt, Matthieu Muffato, Astrid Gall, and Paul Flicek. "Scripting Analyses of Genomes in Ensembl Plants." In Plant Bioinformatics, 27–55. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2067-0_2.
Full textKarolchik, Donna, Gill Bejerano, Angie S. Hinrichs, Robert M. Kuhn, Webb Miller, Kate R. Rosenbloom, Ann S. Zweig, David Haussler, and W. James Kent. "Comparative Genomic Analysis Using the UCSC Genome Browser." In Comparative Genomics, 17–33. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-514-5_2.
Full textOpperman, Charles H., David McK Bird, and Jennifer E. Schaff. "Genomic Analysis of the Root-Knot Nematode Genome." In Cell Biology of Plant Nematode Parasitism, 221–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85215-5_8.
Full textNanni, Luca. "Computational Inference of DNA Folding Principles: From Data Management to Machine Learning." In Special Topics in Information Technology, 79–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_7.
Full textJeukens, Julie, Brian Boyle, Nicholas P. Tucker, and Roger C. Levesque. "Strategy for Genome Sequencing Analysis and Assembly for Comparative Genomics of Pseudomonas Genomes." In Methods in Molecular Biology, 565–77. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0473-0_43.
Full textHamlet, Stephen, Eugen Petcu, and Saso Ivanovski. "Genomic Microarray Analysis." In Handbook of Vascular Biology Techniques, 391–405. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9716-0_30.
Full textConference papers on the topic "Genomic analysi"
Afanasyeva, K. P., A. N. Rusakovich, N. E. Kharchenko, I. D. Aleksandrov, and M. V. Aleksandrova. "GENOMIC CHANGES IN THE PROGENY OF DROSOPHILA MELANOGASTER MALES IRRADIATED BY y-RAYS." In SAKHAROV READINGS 2022: ENVIRONMENTAL PROBLEMS OF THE XXI CENTURY. International Sakharov Environmental Institute of Belarusian State University, 2022. http://dx.doi.org/10.46646/sakh-2022-1-328-331.
Full textGalimova, A. A., E. A. Zaikina, and B. R. Kuluev. "SNP analysis of common wheat baking qualities." In 2nd International Scientific Conference "Plants and Microbes: the Future of Biotechnology". PLAMIC2020 Organizing committee, 2020. http://dx.doi.org/10.28983/plamic2020.082.
Full textDUBCHAK, INNA, LIOR PACHTER, and LIPING WEI. "GENOME-WIDE ANALYSIS AND COMPARATIVE GENOMICS." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799623_0011.
Full textCollins, Corolyn J., Richard B. Levene, Christina P. Ravera, Marker J. Dombalagian, David M. Livingston, and Dennis C. Lynch. "MOLECULAR CLONING OF THE HUMAN GENE FOR VON WILLEBRAND FACTOR AND IDENTIFICATION OF THE TRANSCRIPTION INITIATION SITE." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1642830.
Full textHamon, Morgan, Kirn Cramer, Sachin Jambovane, Jing Dai, Ali Khademhosseini, and Jong Wook Hong. "Wide Range Logarithmic Gradient Formation for Cell Response." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53710.
Full textHeidaritabar, M., A. Huisman, M. C. A. M. Bink, P. Charagu, and G. Plastow. "261. Genome-wide association analyses and genomic prediction for pork meat quality traits using whole-genome sequence." In 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_261.
Full textMansani, Fabio Postiglione, Márcia Magalhães Fernandes, and Ruffo de Freitas-Junior. "IMPACT OF THE MAMMAPRINT GENETIC SIGNATURE ON THE DECALONATION OF THE CHEMOTHERAPY TREATMENT IN A MEDIUM INCOME COUNTRY – STUDY OF REAL LIFE." In Abstracts from the Brazilian Breast Cancer Symposium - BBCS 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s2023.
Full textNordentoft, Iver K., Karin Birkenkamp-Demtroder, Philippe Lamy, Thomas Reinert, Niels Fristrup, Jakob Skou Pedersen, Søren Vang, et al. "Abstract 3153: Whole genome and transcriptome analysis reveals novel genomic alterations in bladder cancer." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-3153.
Full textLiu, Wei Yi, Hui-I. Hsiao, and Shih Yao Dai. "Genomic analysis with MapReduce." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363891.
Full textCristea, Paul Dan, Rodica Tuduce, Jan Cornelis, and Adrian Munteanu. "Nucleotide genomic signal analysis." In 2008 International Conference on Signals and Electronic Systems. IEEE, 2008. http://dx.doi.org/10.1109/icses.2008.4673398.
Full textReports on the topic "Genomic analysi"
Zhang, 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, 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 textGur, Amit, Edward Buckler, Joseph Burger, Yaakov Tadmor, and Iftach Klapp. Characterization of genetic variation and yield heterosis in Cucumis melo. United States Department of Agriculture, January 2016. http://dx.doi.org/10.32747/2016.7600047.bard.
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.
Full textPrice, Lance B. Genomic Analysis of Complex Microbial Communities in Wounds. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada561076.
Full textFluhr, Robert, and Volker Brendel. Harnessing the genetic diversity engendered by alternative gene splicing. United States Department of Agriculture, December 2005. http://dx.doi.org/10.32747/2005.7696517.bard.
Full textStevens, Rick. Development of an Extensible Computational Framework for Centralized Storage and Distributed Curation and Analysis of Genomic Data Genome-scale Metabolic Models. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/1234257.
Full textTang, Shao-Jun. A Functional Genomic Analysis of NF1-Associated Learning Disabilities. Fort Belvoir, VA: Defense Technical Information Center, February 2005. http://dx.doi.org/10.21236/ada435850.
Full text