Relevant bibliographies by topics / Sequence analysis DNA

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sequence analysis DNA'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Sequence analysis DNA"

1

Karlin, S., and L. R. Cardon. "Computational DNA Sequence Analysis." Annual Review of Microbiology 48, no. 1 (1994): 619–54. http://dx.doi.org/10.1146/annurev.mi.48.100194.003155.

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CAO, YINHE, WEN-WEN TUNG, J. B. GAO, and YAN QI. "RECURRENCE TIME STATISTICS: VERSATILE TOOLS FOR GENOMIC DNA SEQUENCE ANALYSIS." Journal of Bioinformatics and Computational Biology 03, no. 03 (2005): 677–96. http://dx.doi.org/10.1142/s0219720005001235.

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With the completion of the human and a few model organisms' genomes, and with the genomes of many other organisms waiting to be sequenced, it has become increasingly important to develop faster computational tools which are capable of easily identifying the structures and extracting features from DNA sequences. One of the more important structures in a DNA sequence is repeat-related. Often they have to be masked before protein coding regions along a DNA sequence are to be identified or redundant expressed sequence tags (ESTs) are to be sequenced. Here we report a novel recurrence time-based me
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Barna, J. "DNA and Protein Sequence Analysis." Journal of Medical Genetics 34, no. 11 (1997): 959–60. http://dx.doi.org/10.1136/jmg.34.11.959-a.

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Zu-Guo, Yu, Vo Anh, Gong Zhi-Min, and Long Shun-Chao. "Fractals in DNA sequence analysis." Chinese Physics 11, no. 12 (2002): 1313–18. http://dx.doi.org/10.1088/1009-1963/11/12/318.

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Sass, Philip M. "DNA AND PROTEIN SEQUENCE ANALYSIS." Shock 8, no. 2 (1997): 156. http://dx.doi.org/10.1097/00024382-199708000-00021.

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Chen, Fei, and Yuan-Ting Zhang. "A DNA Structure-Based Bionic Wavelet Transform and Its Application to DNA Sequence Analysis." Applied Bionics and Biomechanics 1, no. 1 (2003): 3–9. http://dx.doi.org/10.1155/2003/675645.

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DNA sequence analysis is of great significance for increasing our understanding of genomic functions. An important task facing us is the exploration of hidden structural information stored in the DNA sequence. This paper introduces a DNA structure-based adaptive wavelet transform (WT) – the bionic wavelet transform (BWT) – for DNA sequence analysis. The symbolic DNA sequence can be separated into four channels of indicator sequences. An adaptive symbol-to-number mapping, determined from the structural feature of the DNA sequence, was introduced into WT. It can adjust the weight value of each c
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Song, Young-Ohk, and Duk-Jin Chang. "Unification System for Analysis of DNA Sequence." Journal of the Korea Contents Association 11, no. 3 (2011): 65–72. http://dx.doi.org/10.5392/jkca.2011.11.3.065.

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Onasanya, A., M. M. Ekperigin, R. O. Onasanya, et al. "DNA Sequencing Analysis of African Xanthomonas oryzae pv. oryzae Virulence Gene (AXaVrg) DNA Marker." Scientia Agriculturae Bohemica 49, no. 2 (2018): 78–86. http://dx.doi.org/10.2478/sab-2018-0012.

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Abstract Global rice production is constrained by bacterial leaf blight (BLB) disease caused by Xanthomonas oryzae pv. oryzae (Xoo). BLB disease incidence in West Africa was between 70–85% and yield loss in farmers’ fields was in the range of 50–90% from 2005 to 2010. In the present study, African Xoo virulence gene OPP-172000 DNA marker was identified and purified using randomly amplified polymorphic DNA polymerase chain reaction (RAPD-PCR) products from 50 Xoo isolates. Genomic DNA of 50 Xoo isolates were analyzed using OPP-17 primer in RAPD-PCR during which African Xoo virulence gene OPP-17
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BAKER, ANDREW R., and JOHN SHINE. "Human Kidney Kallikrein: cDNA Cloning and Sequence Analysis." DNA 4, no. 6 (1985): 445–50. http://dx.doi.org/10.1089/dna.1985.4.445.

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KIM, MYOUNG HEE, HWA-HYOUNG CHANG, CHUOG SHIN, MYUNGSUN CHO, DALKEUN PARK, and HYOUNG WOO PARK. "Genomic Structure and Sequence Analysis of HumanHOXA-9." DNA and Cell Biology 17, no. 5 (1998): 407–14. http://dx.doi.org/10.1089/dna.1998.17.407.

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Dissertations / Theses on the topic "Sequence analysis DNA"

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Cai, Zheng. "Repetitive sequence analysis for soybean genome sequences." Diss., Columbia, Mo. : University of Missouri-Columbia, 2005. http://hdl.handle.net/10355/4249.

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Thesis (M.S.)--University of Missouri-Columbia, 2005.<br>"May 2005" The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Includes bibliographical references.
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Parsons, Jeremy David. "Computer analysis of molecular sequences." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282922.

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Arner, Erik. "Solving repeat problems in shotgun sequencing /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-996-3/.

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Joseph, Ansamma K. "DNA sequence analysis of T cell receptors." Thesis, University of Bath, 1996. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321849.

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Gupta, Kapil. "Combinatorial optimization and application to DNA sequence analysis." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26676.

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Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Lee, Eva K.; Committee Member: Barnes, Earl; Committee Member: Fan, Yuhong; Committee Member: Johnson, Ellis; Committee Member: Yuan, Ming. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Lundmark, Per Erik. "Genetic and Genomic Analysis of DNA Sequence Variation." Doctoral thesis, Uppsala universitet, Molekylär medicin, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-158486.

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The studies in this thesis describe the application of genotyping and allele specific expression analysis to genetic studies. The role of the gene NPC1 in Triglyceride metabolism was explored in mouse models and in humans on the population level in study I. NPC1 was found to affect hepatic triglyceride metabolism, and to be relevant for controlling serum triglyceride levels in mice and potentially in humans. In study II the utility of the HapMap CEU samples was investigated for tagSNP selection in six European populations. The HapMap CEU was found to be representative for tagSNP selection in a
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Bowler, Frank Ray. "Reading DNA with PNA : a dynamic chemical approach to DNA sequence analysis." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/5270.

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Single nucleotide polymorphisms (SNPs) and insertions/deletions (indels) constitute important sources of genetic variation which provide insight into disease aetiology and idiosyncratic differences in drug response. The analysis of such genetic variation relies upon the generation of allele-specific products, typically by enzymatic extension or the hybridization of allele-specific DNA probes. Herein, a distinct enzyme-free, dynamic chemistry-based method of producing allele-specific products for genotyping was developed. The approach was initially demonstrated in model systems using synthetic
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Ko, Ming-him. "A multi-agent model for DNA analysis /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21949116.

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Henderson, Daniel Adrian. "Modelling and analysis of non-coding DNA sequence data." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299427.

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O'Hanlon, Karen Ann. "Studies on the enzyme DNA-dependent RNA polymerase." Thesis, University of Reading, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266340.

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Books on the topic "Sequence analysis DNA"

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David, Posada, ed. Bioinformatics for DNA sequence analysis. Humana Press, 2009.

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Posada, David, ed. Bioinformatics for DNA Sequence Analysis. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-251-9.

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Sharon, Marsh, ed. Pyrosequencing protocols. Humana Press, 2007.

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K, Moretti Martina, and Rizzo Lorenzo J, eds. Oligonucleotide array sequence analysis. Nova Science Publishers, 2008.

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Chemeris, A. V. Sekvenirovanie DNK. Nauka, 1999.

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Brown, T. A. Gene cloning and DNA analysis: An introduction. 6th ed. Wiley-Blackwell, 2010.

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Gene cloning and DNA analysis: An introduction. 6th ed. Wiley-Blackwell, 2010.

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DNA sequencing. Springer, 1997.

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Fincham, J. R. S. Genetic analysis: Principles, scope, and abjectives. Blackwell Scientific Publications, 1994.

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Ovesen, Kresten. DNA fingerprinting, sequencing, and chips. Nova Science Publishers, 2009.

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Book chapters on the topic "Sequence analysis DNA"

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Rice, Peter M., Keith Elliston, and Michael Gribskov. "DNA." In Sequence Analysis Primer. Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-21355-9_1.

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Bloomfield, Victor. "DNA Sequence Analysis." In Computer Simulation and Data Analysis in Molecular Biology and Biophysics. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0083-8_12.

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Douglas, Susan E. "DNA Strider." In Computer Analysis of Sequence Data. Humana Press, 1994. http://dx.doi.org/10.1385/0-89603-276-0:181.

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Subbotin, Sergei A. "Phylogenetic analysis of DNA sequence data." In Techniques for work with plant and soil nematodes. CABI, 2021. http://dx.doi.org/10.1079/9781786391759.0265.

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Abstract The goal of phylogenetics is to construct relationships that are true representations of the evolutionary history of a group of organisms or genes. The history inferred from phylogenetic analysis is usually depicted as branching in tree-like diagrams or networks. In nematology, phylogenetic studies have been applied to resolve a wide range of questions dealing with improving classifications and testing evolution processes, such as co-evolution, biogeography and many others. There are several main steps involved in a phylogenetic study: (i) selection of ingroup and outgroup taxa for a study; (ii) selection of one or several gene fragments for a study; (iii) sample collection, obtaining PCR products and sequencing of gene fragments; (iv) visualization, editing raw sequence data and sequence assembling; (v) search for sequence similarity in a public database; (vi) making and editing multiple alignment of sequences; (vii) selecting appropriate DNA model for a dataset; (viii) phylogenetic reconstruction using minimum evolution, maximum parsimony, maximum likelihood and Bayesian inference; (ix) visualization of tree files and preparation of tree for a publication; and (x) sequence submission to a public database. Molecular phylogenetic study requires particularly careful planning because it is usually relatively expensive in terms of the cost in reagents and time.
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Subbotin, Sergei A. "Phylogenetic analysis of DNA sequence data." In Techniques for work with plant and soil nematodes. CABI, 2021. http://dx.doi.org/10.1079/9781786391759.0015.

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Abstract The goal of phylogenetics is to construct relationships that are true representations of the evolutionary history of a group of organisms or genes. The history inferred from phylogenetic analysis is usually depicted as branching in tree-like diagrams or networks. In nematology, phylogenetic studies have been applied to resolve a wide range of questions dealing with improving classifications and testing evolution processes, such as co-evolution, biogeography and many others. There are several main steps involved in a phylogenetic study: (i) selection of ingroup and outgroup taxa for a study; (ii) selection of one or several gene fragments for a study; (iii) sample collection, obtaining PCR products and sequencing of gene fragments; (iv) visualization, editing raw sequence data and sequence assembling; (v) search for sequence similarity in a public database; (vi) making and editing multiple alignment of sequences; (vii) selecting appropriate DNA model for a dataset; (viii) phylogenetic reconstruction using minimum evolution, maximum parsimony, maximum likelihood and Bayesian inference; (ix) visualization of tree files and preparation of tree for a publication; and (x) sequence submission to a public database. Molecular phylogenetic study requires particularly careful planning because it is usually relatively expensive in terms of the cost in reagents and time.
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D’Atanasio, Eugenia, Fulvio Cruciani, and Beniamino Trombetta. "Single-Nucleotide Polymorphisms: An Overview of the Sequence Polymorphisms." In Forensic DNA Analysis. Apple Academic Press, 2020. http://dx.doi.org/10.1201/9781003043027-3.

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Ewens, Warren J., and Gregory R. Grant. "The Analysis of One DNA Sequence." In Statistical Methods in Bioinformatics. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3247-4_5.

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Smith, Lloyd M. "Fluorescence-Based Automated DNA Sequence Analysis." In Genetic Engineering. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4615-7081-3_5.

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Rozas, Julio. "DNA Sequence Polymorphism Analysis Using DnaSP." In Methods in Molecular Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-251-9_17.

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Higgins, Desmond G. "Clustal V: Multiple Alignment of DNA and Protein Sequences." In Computer Analysis of Sequence Data. Humana Press, 1994. http://dx.doi.org/10.1385/0-89603-276-0:307.

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Conference papers on the topic "Sequence analysis DNA"

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Nacong, Nasria, Desy Lusiyanti, and Muhammad Isa Irawan. "Sequence analysis of Leukemia DNA." In SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH) 2017. Author(s), 2018. http://dx.doi.org/10.1063/1.5026082.

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Molina-Lozano, Heron, Edgar E. Vallejo-Clemente, and Juan E. Morett-Sanchez. "DNA sequence analysis using fuzzy grammars." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630631.

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Lim, Kyeongyeol, Geehan Park, Minsuk Choi, Youjip Won, Dongoh Kim, and Hongyeon Kim. "Workload characteristics of DNA sequence analysis." In the 6th Workshop. ACM Press, 2014. http://dx.doi.org/10.1145/2555486.2555490.

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Flynn, Emily, Filip Jagodzinski, and Ileana Streinu. "Towards sequence-based DNA flexibility analysis." In the ACM Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2382936.2383038.

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Kaizhong, Jiang, Zheng Zhongtuan, Hong Yinping, and Li Lu. "Classification analysis of DNA sequences based on inverse sequence frequency." In 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI). IEEE, 2012. http://dx.doi.org/10.1109/bmei.2012.6512964.

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Mao, Yuyuan, Jeffrey Zheng, and Wenjia Liu. "Mapping Whole DNA Sequence on Variant Maps." In ASONAM '17: Advances in Social Networks Analysis and Mining 2017. ACM, 2017. http://dx.doi.org/10.1145/3110025.3110140.

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Chopde, Smita, and U. S. Pushpa. "Genomic analysis - reading DNA sequence and plotting sequence and condon." In 2017 International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2017. http://dx.doi.org/10.1109/iccmc.2017.8282534.

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Yu, Jia-feng, and Xiao Sun. "Gene Sequences Analysis Using a New Graphical Representation of DNA Sequence." In 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5515303.

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Ryabko, Boris, and Natalie Usotskaya. "DNA-sequence analysis using Markov chain models." In 2008 IEEE Information Theory Workshop (ITW). IEEE, 2008. http://dx.doi.org/10.1109/itw.2008.4578634.

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Gildner, Michael D., William A. Christens-Barry, James C. Martin, and James F. Hawk. "DNA Sequence Analysis By Optical Pattern Recognition." In 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, edited by Richard D. Juday. SPIE, 1988. http://dx.doi.org/10.1117/12.976598.

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Reports on the topic "Sequence analysis DNA"

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Shavlik, J. W. Applying machine learning techniques to DNA sequence analysis. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/5688406.

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Shavlik, J. W., and M. O. Noordewier. Applying machine learning techniques to DNA sequence analysis. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/7023074.

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Uberbacher, E. C., Y. Xu, M. B. Shah, V. Olman, M. Parang, and R. Mural. An editing environment for DNA sequence analysis and annotation. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/563243.

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Walt, D. R., and K.-H. Lee. Time-Resolved Sequence Analysis on High Density Fiberoptic DNA Probe. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/834517.

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Shavlik, J. W., and M. O. Noordewier. Applying machine learning techniques to DNA sequence analysis. Final report. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/564145.

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Wallace, Susan S. Structure/Function Analysis of DNA-glycosylases That Repair Oxidized Purines and Pyrimidines and the Influence of Surrounding DNA Sequence on Their Interactions. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/900301.

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Shavlik, J. W. Applying machine learning techniques to DNA sequence analysis. Progress report, February 14, 1991--February 13, 1992. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10135095.

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Manning, Ruth Ann. GRAIL-genQuest: A comprehensive computational system for DNA sequence analysis. Final report, DOE SBIR Phase II. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/770188.

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Shavlik, J. W., and M. O. Noordewier. Applying machine learning techniques to DNA sequence analysis. Progress report, Year 2, February 14, 1992--December 11, 1992. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10124406.

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Gusfield, D., E. L. Lawler, K. Balasubramanian, et al. Efficient algorithms and data structures in support of DNA mapping and sequence analysis. Progress report, February 1991--February 1992. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10134015.

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