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Статті в журналах з теми "Read data"
Li, Donghe, Wonji Kim, Longfei Wang, Kyong-Ah Yoon, Boyoung Park, Charny Park, Sun-Young Kong, et al. "Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data." IEEE/ACM Transactions on Computational Biology and Bioinformatics 16, no. 5 (September 1, 2019): 1635–44. http://dx.doi.org/10.1109/tcbb.2018.2854793.
Повний текст джерелаLiao, Jianwei, Jun Li, Mingwang Zhao, Zhibing Sha, and Zhigang Cai. "Read Refresh Scheduling and Data Reallocation against Read Disturb in SSDs." ACM Transactions on Embedded Computing Systems 21, no. 2 (March 31, 2022): 1–27. http://dx.doi.org/10.1145/3495254.
Повний текст джерелаEisenstein, Michael. "Startups use short-read data to expand long-read sequencing market." Nature Biotechnology 33, no. 5 (May 2015): 433–35. http://dx.doi.org/10.1038/nbt0515-433.
Повний текст джерелаShumate, Alaina, Brandon Wong, Geo Pertea, and Mihaela Pertea. "Improved transcriptome assembly using a hybrid of long and short reads with StringTie." PLOS Computational Biology 18, no. 6 (June 1, 2022): e1009730. http://dx.doi.org/10.1371/journal.pcbi.1009730.
Повний текст джерелаSHIMADA, Y. "How to Read Blood Gas Data." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 64, no. 12 (December 1, 1994): 560–63. http://dx.doi.org/10.4286/ikakikaigaku.64.12_560.
Повний текст джерелаZheng, Yuanqing, and Mo Li. "Read Bulk Data From Computational RFIDs." IEEE/ACM Transactions on Networking 24, no. 5 (October 2016): 3098–108. http://dx.doi.org/10.1109/tnet.2015.2502979.
Повний текст джерелаMoretti. "Introduction to “Learning to Read Data”." Victorian Studies 54, no. 1 (2011): 78. http://dx.doi.org/10.2979/victorianstudies.54.1.78.
Повний текст джерелаBerners-Lee, Tim, and Kieron O’Hara. "The read–write Linked Data Web." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 371, no. 1987 (March 28, 2013): 20120513. http://dx.doi.org/10.1098/rsta.2012.0513.
Повний текст джерелаStöcker, Bianca K., Johannes Köster, and Sven Rahmann. "SimLoRD: Simulation of Long Read Data." Bioinformatics 32, no. 17 (May 10, 2016): 2704–6. http://dx.doi.org/10.1093/bioinformatics/btw286.
Повний текст джерелаTan, Yuxiang, Yann Tambouret, and Stefano Monti. "SimFuse: A Novel Fusion Simulator for RNA Sequencing (RNA-Seq) Data." BioMed Research International 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/780519.
Повний текст джерелаДисертації з теми "Read data"
Burger, Joseph. "Real-time engagement area dvelopment program (READ-Pro)." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FBurger.pdf.
Повний текст джерелаLecompte, Lolita. "Structural variant genotyping with long read data." Thesis, Rennes 1, 2020. http://www.theses.fr/2020REN1S054.
Повний текст джерелаStructural Variants (SVs) are genomic rearrangements of more than 50 base pairs. Since SVs can reach several thousand base pairs, they can have huge impacts on genome functions, studying SVs is, therefore, of great interest. Recently, a new generation of sequencing technologies has been developed and produce long read data of tens of thousand of base pairs which are particularly useful for spanning over SV breakpoints. So far, bioinformatics methods have focused on the SV discovery problem with long read data. However, no method has been proposed to specifically address the issue of genotyping SVs with long read data. The purpose of SV genotyping is to assess for each variant of a given input set which alleles are present in a newly sequenced sample. This thesis proposes a new method for genotyping SVs with long read data, based on the representation of each allele sequences. We also defined a set of conditions to consider a read as supporting an allele. Our method has been implemented in a tool called SVJedi. Our tool has been validated on both simulated and real human data and achieves high genotyping accuracy. We show that SVJedi obtains better performances than other existing long read genotyping tools and we also demonstrate that SV genotyping is considerably improved with SVJedi compared to other approaches, namely SV discovery and short read SV genotyping approaches
Walter, Sarah. "Parallel read/write system for optical data storage." Diss., Connect to online resource, 2005. http://wwwlib.umi.com/cr/colorado/fullcit?p1425767.
Повний текст джерелаIbanez, Luis Daniel. "Towards a read/write web of linked data." Nantes, 2015. http://archive.bu.univ-nantes.fr/pollux/show.action?id=9089939a-874b-44e1-a049-86a4c5c5d0e6.
Повний текст джерелаThe Linked Data initiative has made available millions of pieces of data for querying through a federation of autonomous participants. However, the Web of Linked data suffers of problems of data heterogeneity and quality. We cast the problem of integrating heterogeneous data sources as a Local-as-View mediation (LAV) problem, unfortunately, LAV may require the execution of a number of “rewritings” exponential on the number of query subgoals. We propose the Graph-Union (GUN) strategy to maximise the results obtained from a subset of rewritings. Compared to traditional rewriting execution strategies, GUN improves execution time and number of results obtained in exchange of higher memory consumption. Once data can be queried data consumers can detect quality issues, but to resolve them they need to write on the data of the sources, i. E. , to evolve Linked Data from Read/Only to Read-Write. However, writing among autonomous participants raises consistency issues. We model the Read-Write Linked Data as a social network where actors copy the data they are interested into, update it and publish updates to exchange with others. We propose two algorithms for update exchange: SU-Set, that achieves Strong Eventual Consistency (SEC) and Col-Graph, that achieves Fragment Consistency, stronger than SEC. We analyze the worst and best case complexities of both algorithms and estimate experimentally the average complexity of Col-Graph, results suggest that is feasible for social network topologies
Horne, Ross J. "Programming languages and principles for read-write linked data." Thesis, University of Southampton, 2011. https://eprints.soton.ac.uk/210899/.
Повний текст джерелаHuang, Songbo, and 黄颂博. "Detection of splice junctions and gene fusions via short read alignment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45862527.
Повний текст джерелаSaleem, Muhammad. "Automated Analysis of Automotive Read-Out Data for Better Decision Making." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-63785.
Повний текст джерелаFrousios, Kimon. "Bioinformatic analysis of genomic sequencing data : read alignment and variant evaluation." Thesis, King's College London (University of London), 2014. http://kclpure.kcl.ac.uk/portal/en/theses/bioinformatic-analysis-of-genomic-sequencing-data(e3a55df7-543e-4eaa-a81e-6534eacf6250).html.
Повний текст джерелаHoffmann, Steve. "Genome Informatics for High-Throughput Sequencing Data Analysis." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-152643.
Повний текст джерелаDiese Arbeit stellt drei verschiedene algorithmische und statistische Strategien für die Analyse von Hochdurchsatz-Sequenzierungsdaten vor. Zuerst führen wir eine auf enhanced Suffixarrays basierende heuristische Methode ein, die kurze Sequenzen mit grossen Genomen aligniert. Die Methode basiert auf der Idee einer fehlertoleranten Traversierung eines Suffixarrays für Referenzgenome in Verbindung mit dem Konzept der Matching-Statistik von Chang und einem auf Bitvektoren basierenden Alignmentalgorithmus von Myers. Die vorgestellte Methode unterstützt Paired-End und Mate-Pair Alignments, bietet Methoden zur Erkennung von Primersequenzen und zum trimmen von Poly-A-Signalen an. Auch in unabhängigen Benchmarks zeichnet sich das Verfahren durch hohe Sensitivität und Spezifität in simulierten und realen Datensätzen aus. Für eine große Anzahl von Sequenzierungsprotokollen erzielt es bessere Ergebnisse als andere bekannte Short-Read Alignmentprogramme. Zweitens stellen wir einen auf dynamischer Programmierung basierenden Algorithmus für das spliced alignment problem vor. Der Vorteil dieses Algorithmus ist seine Fähigkeit, nicht nur kollineare Spleiß- Ereignisse, d.h. Spleiß-Ereignisse auf dem gleichen genomischen Strang, sondern auch zirkuläre und andere nicht-kollineare Spleiß-Ereignisse zu identifizieren. Das Verfahren zeichnet sich durch eine hohe Genauigkeit aus: während es bei der Erkennung kollinearer Spleiß-Varianten vergleichbare Ergebnisse mit anderen Methoden erzielt, schlägt es die Wettbewerber mit Blick auf Sensitivität und Spezifität bei der Vorhersage nicht-kollinearer Spleißvarianten. Die Anwendung dieses Algorithmus führte zur Identifikation neuer Isoformen. In unserer Publikation berichten wir über eine neue Isoform des Tumorsuppressorgens p53. Da dieses Gen eines der am besten untersuchten Gene des menschlichen Genoms ist, könnte die Anwendung unseres Algorithmus helfen, eine Vielzahl weiterer Isoformen bei weniger prominenten Genen zu identifizieren. Drittens stellen wir ein datenadaptives Modell zur Identifikation von Single Nucleotide Variations (SNVs) vor. In unserer Arbeit zeigen wir, dass sich unser auf empirischen log-likelihoods basierendes Modell automatisch an die Qualität der Sequenzierungsexperimente anpasst und eine \"Entscheidung\" darüber trifft, welche potentiellen Variationen als SNVs zu klassifizieren sind. In unseren Simulationen ist diese Methode auf Augenhöhe mit aktuell eingesetzten Verfahren. Schließlich stellen wir eine Auswahl biologischer Ergebnisse vor, die mit den Besonderheiten der präsentierten Alignmentverfahren in Zusammenhang stehen
Wang, Frank Zhigang. "Advanced magnetic thin-film heads under read-while-write operation." Thesis, University of Plymouth, 1999. http://hdl.handle.net/10026.1/2353.
Повний текст джерелаКниги з теми "Read data"
Association, European Computer Manufacturers. Data interchange on read-only 120 mm optical data disks (CD-ROM). 2nd ed. Geneva: European Computer Manufacturers Assocation, 1996.
Знайти повний текст джерелаInc, Toshiba America, and Toshiba America. Toshiba MOS memory products data book. [Tustin, Calif.]: Toshiba America, 1987.
Знайти повний текст джерелаJenkins, Gordon. The electronic data interchange handbook: A quick read on EDI. Etobicoke, Ont: [Electronic Data Interchange Council of Canada], 1992.
Знайти повний текст джерелаAllerup, Peter. Why I like to read: Statistical analysis of questionnaire data. Kobenhavn: Danish National Institue for Educational Research, 1985.
Знайти повний текст джерелаPublications, Sun Technical, ed. Read me first!: A style guide for the computer industry. 2nd ed. Upper Saddle River, NJ: Prentice Hall, 2003.
Знайти повний текст джерелаRead me first!: A style guide for the computer industry. 3rd ed. Upper Saddle River, N.J: Prentice Hall ; Pearson Education [distributor], 2010.
Знайти повний текст джерелаJenkins, Gordon. The electronic commerce handbook: A quick read on how electronic commerce can keep you competitive. Etobicoke, Ont: EDI Council of Canada, 1994.
Знайти повний текст джерелаCreasy, William C. Microcomputers & literary scholarship: Papers read at a Clark Library conference, 30 December 1982. Los Angeles, Calif: William Andrews Clark Memorial Library, University of California, Los Angeles, 1986.
Знайти повний текст джерелаCreasy, William C. Microcomputers & literary scholarship: Papers read at a Clark Library conference, 30 December 1982. Los Angeles, Calif: William Andrews Clark Memorial Library, University of California, Los Angeles, 1986.
Знайти повний текст джерелаTsiao, Sunny. Read you loud and clear!: The story of NASA'S spaceflight tracking and data network. Washington, DC: National Aeronautics and Space Administration, NASA History Division, Office of External Relations, 2007.
Знайти повний текст джерелаЧастини книг з теми "Read data"
Mok, F., G. Zhou, and D. Psaltis. "Holographic Read-Only Memory." In Holographic Data Storage, 399–407. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-540-47864-5_26.
Повний текст джерелаChuang, Ernest, and Kevin Curtis. "Holographic Read Only Memories." In Holographic Data Storage, 373–401. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470666531.ch15.
Повний текст джерелаMiller, Judith. "READ and DATA statements." In Beginning BASIC with the ZX Spectrum, 92–98. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-81211-0_22.
Повний текст джерелаGerbing, David W. "Read and Write Data." In R Data Analysis without Programming, 21–40. 2nd ed. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003278412-2.
Повний текст джерелаPalcic, Donal, and Darragh Flannery. "Making Sense of Economic Data." In How to Read Economic News, 275–91. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003154747-16.
Повний текст джерелаSbiaa, Rachid. "Magnetoresistive Read Heads: Fundamentals and Functionality." In Developments in Data Storage, 97–126. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118096833.ch6.
Повний текст джерелаLivraga, Giovanni. "Enforcing Dynamic Read and Write Privileges." In Protecting Privacy in Data Release, 139–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16109-9_5.
Повний текст джерелаGorman, Brian L. "Data Access (Create, Read, Update, Delete)." In Practical Entity Framework, 245–69. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6044-9_6.
Повний текст джерелаGorman, Brian L. "Data Access (Create, Read, Update, Delete)." In Practical Entity Framework Core 6, 269–97. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7301-2_6.
Повний текст джерелаArumugam, Krithika, Irina Bessarab, Mindia A. S. Haryono, and Rohan B. H. Williams. "Recovery and Analysis of Long-Read Metagenome-Assembled Genomes." In Metagenomic Data Analysis, 235–59. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-3072-3_12.
Повний текст джерелаТези доповідей конференцій з теми "Read data"
Yardy, R., Blair I. Finkelstein, and Terry W. McDaniel. "Read stability in magneto-optical storage." In Optical Data Storage, edited by Donald B. Carlin and David B. Kay. SPIE, 1990. http://dx.doi.org/10.1117/12.22004.
Повний текст джерелаHerget, Philipp, Tuviah E. Schlesinger, James A. Bain, D. D. Stancil, and H. Awano. "MAMMOS read-only memory." In Optical Data Storage Topical Meeting 2004, edited by B. V. K. Vijaya Kumar and Hiromichi Kobori. SPIE, 2004. http://dx.doi.org/10.1117/12.556950.
Повний текст джерелаKitaguchi, Tohru, Etsuji Akimoto, Harumichi Tsukada, Seiichi Ohta, and Shuso Iyoshi. "Mechanism of read-instability of optical recording." In Optical Data Storage, edited by Donald B. Carlin and David B. Kay. SPIE, 1990. http://dx.doi.org/10.1117/12.22015.
Повний текст джерелаWu, Suzhen, Weiwei Zhang, Bo Mao, and Hong Jiang. "HotR: Alleviating Read/Write Interference with Hot Read Data Replication for Flash Storage." In 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2019. http://dx.doi.org/10.23919/date.2019.8715100.
Повний текст джерелаZavislan, James M. "Analytic statistical model for magneto-optic read paths." In Optical Data Storage, edited by Donald B. Carlin and David B. Kay. SPIE, 1990. http://dx.doi.org/10.1117/12.22043.
Повний текст джерелаLynch, R. T. "A Performance Model for Optical Recording Read Channels." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/ods.1987.thb3.
Повний текст джерелаLoerincz, Emoeke, Ferenc Ujhelyi, Pal Koppa, A. Kerekes, Gabor Szarvas, Gabor Erdei, Jozsua Fodor, et al. "Read/write demonstrator of rewritable holographic memory card system." In Optical Data Storage, edited by Terril Hurst and Seiji Kobayashi. SPIE, 2002. http://dx.doi.org/10.1117/12.453409.
Повний текст джерелаBirukawa, M., N. Miyatake, and T. Suzuki. "Magnetically Super Resolution for Optical Read Only Memory Disks." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1998. http://dx.doi.org/10.1364/ods.1998.pdp.1.
Повний текст джерелаZheng, Yuanqing, and Mo Li. "Read bulk data from computational RFIDs." In IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. IEEE, 2014. http://dx.doi.org/10.1109/infocom.2014.6847973.
Повний текст джерелаDewey, Anthony G. "Optimizing the Noise Performance of a Magneto-Optic Read Channel." In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/ods.1989.thc2.
Повний текст джерелаЗвіти організацій з теми "Read data"
Wendelberger, James. A First Look at WAMS Data via the Read Code. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1764743.
Повний текст джерелаUnknown, Author. L51393 A.G.A. Gas-Liquid Data Bank. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 1990. http://dx.doi.org/10.55274/r0011062.
Повний текст джерелаLi, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.
Повний текст джерелаLin, Yawei, Yi Chen, Rongrong Liu, and Baohua Cao. Effect of exercise on rehabilitation of breast cancer surgery patients: A systematic review and meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2022. http://dx.doi.org/10.37766/inplasy2022.10.0065.
Повний текст джерелаWalker, Alex, Brian MacKenna, Peter Inglesby, Christopher Rentsch, Helen Curtis, Caroline Morton, Jessica Morley, et al. Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY. OpenSAFELY, 2021. http://dx.doi.org/10.53764/rpt.3917ab5ac5.
Повний текст джерелаDubeck, Margaret M., Jonathan M. B. Stern, and Rehemah Nabacwa. Learning to Read in a Local Language in Uganda: Creating Learner Profiles to Track Progress and Guide Instruction Using Early Grade Reading Assessment Results. RTI Press, June 2021. http://dx.doi.org/10.3768/rtipress.2021.op.0068.2106.
Повний текст джерелаRalph Best, S.J. Maheras, T.I. McSweeney, and S.B. Ross. Real Data for Real Routes. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/805678.
Повний текст джерелаRodriguez, Dirk, and Cameron Williams. Channel Islands Nation Park: Terrestrial vegetation monitoring annual report - 2016. National Park Service, August 2022. http://dx.doi.org/10.36967/2293561.
Повний текст джерелаDamianos, Laurie, Steve Wohlever, Robyn Kozeriok, and Jay Ponte. MiTPA for Real Users, Real Data, Real Problems. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada459750.
Повний текст джерелаGeorge and Hawley. PR-015-12600-R01 Ability of Ultrasonic Meters to Measure Accurately in Compressor-Induced Pulsating Flows. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), November 2013. http://dx.doi.org/10.55274/r0010808.
Повний текст джерела