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1

Ehrhart, Friederike, Jonathan Melius, Elisa Cirillo, Martina Kutmon, Egon L. Willighagen, Susan L. Coort, Leopold M. G. Curfs, and Chris T. Evelo. "Providing gene-to-variant and variant-to-gene database identifier mappings to use with BridgeDb mapping services." F1000Research 7 (September 3, 2018): 1390. http://dx.doi.org/10.12688/f1000research.15708.1.

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Database identifier mapping services are important to make database information interoperable. BridgeDb offers such a service. Available mapping for BridgeDb link 1. genes and gene products identifiers, 2. metabolite identifiers and InChI structure description, and 3. identifiers for biochemical reactions and interactions between multiple resources that use such IDs while the mappings are obtained from multiple sources. In this study we created BridgeDb mapping databases for selections of genes-to-variants (and variants-to-genes) based on the variants described in Ensembl. Moreover, we demonstrated the use of these mappings in different software tools like R, PathVisio, Cytoscape and a local installation using Docker. The variant mapping databases are now described on the BridgeDb website and are available from the BridgeDb mapping database repository and updated according to the regular BridgeDb mapping update schedule.
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2

Lathrop, Gregory M., Dora Cherif, Cécile Julier, and Michael James. "Gene mapping." Current Opinion in Biotechnology 1, no. 2 (December 1990): 172–79. http://dx.doi.org/10.1016/0958-1669(90)90027-i.

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3

Frézal, Jean. "Genes, gene map, gene mapping." Cytogenetic and Genome Research 46, no. 1-4 (1987): 1–10. http://dx.doi.org/10.1159/000132469.

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4

Harrap, Stephen B. "Repetitive gene mapping." Journal of Hypertension 13, no. 5 (May 1995): 567. http://dx.doi.org/10.1097/00004872-199505000-00013.

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5

Stern, Victoria. "Mapping the Spine, Gene by Gene." Scientific American Mind 19, no. 5 (October 2008): 8. http://dx.doi.org/10.1038/scientificamericanmind1008-8a.

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6

Wissuwa, M. "Comparative QTL mapping of root length in the Nipponbare/Kasalath and Koshihikari/Kasalath mapping populations." International Rice Research Notes 31, no. 2 (December 1, 2006): 53–54. https://doi.org/10.5281/zenodo.6999501.

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This article 'Comparative QTL mapping of root length in the Nipponbare/Kasalath and Koshihikari/Kasalath mapping populations' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain details on the research reported.
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7

Daniels, D. L., and F. R. Blattner. "Mapping using gene encyclopaedias." Nature 325, no. 6107 (February 1987): 831–32. http://dx.doi.org/10.1038/325831a0.

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8

Harper, P. S. "Gene mapping and neurogenetics." Journal of Medical Genetics 24, no. 9 (September 1, 1987): 513–14. http://dx.doi.org/10.1136/jmg.24.9.513.

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9

Harper, P. S. "Human Gene Mapping 9." Journal of Medical Genetics 25, no. 11 (November 1, 1988): 788. http://dx.doi.org/10.1136/jmg.25.11.788.

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10

Yates, J. R. W. "Human Gene Mapping 10." Journal of Medical Genetics 27, no. 5 (May 1, 1990): 343. http://dx.doi.org/10.1136/jmg.27.5.343-a.

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11

SYKES, BRYAN. "Mapping Collagen Gene Mutations." Annals of the New York Academy of Sciences 580, no. 1 Structure, Mo (February 1990): 385–89. http://dx.doi.org/10.1111/j.1749-6632.1990.tb17946.x.

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12

Lam-Po-Tang, P. R. L. "Human Gene Mapping 9.5." Pathology 22, no. 2 (1990): 127. http://dx.doi.org/10.1016/s0031-3025(16)36287-0.

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13

Henry, G. "Human Gene Mapping 10." Biochemical Education 18, no. 3 (July 1990): 157. http://dx.doi.org/10.1016/0307-4412(90)90244-i.

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14

He, Weigong, and Shibo Li. "Congenital cataracts: gene mapping." Human Genetics 106, no. 1 (January 31, 2000): 1–13. http://dx.doi.org/10.1007/s004390051002.

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15

He, Weigong, and Shibo Li. "Congenital cataracts: gene mapping." Human Genetics 106, no. 1 (January 2000): 1–13. http://dx.doi.org/10.1007/s004399900169.

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16

Fallow, G. F., N. M. Highton, A. Landless, L. Mascia, and D. H. Pantling. "Human gene mapping report." Chromosome Research 3, no. 4 (June 1995): 265. http://dx.doi.org/10.1007/bf00713055.

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17

Ooms, L., J. Nicholl, P. Bird, and G. R. Sutherland. "Human gene mapping report." Chromosome Research 3, no. 7 (November 1995): 447. http://dx.doi.org/10.1007/bf00713898.

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18

Baker, E., A. D'Andrea, J. H. Phillips, G. R. Sutherland, and L. L. Lanier. "Human gene mapping report." Chromosome Research 3, no. 8 (December 1995): 511. http://dx.doi.org/10.1007/bf00713968.

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19

Cannizzaro, Linda A. "Gene mapping in cancer." Cancer Genetics and Cytogenetics 55, no. 2 (September 1991): 139–47. http://dx.doi.org/10.1016/0165-4608(91)90069-7.

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20

Harper, P. S. "Human Gene Mapping 11. The Eleventh International Workshop on Human Gene Mapping." Journal of Medical Genetics 30, no. 1 (January 1, 1993): 87. http://dx.doi.org/10.1136/jmg.30.1.87.

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21

Lander, Eric S., and Harvey Lodish. "Mitochondrial diseases: Gene mapping and gene therapy." Cell 61, no. 6 (June 1990): 925–26. http://dx.doi.org/10.1016/0092-8674(90)90055-j.

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22

Little, P. F. R. "Gene mapping and the human genome mapping project." Current Opinion in Cell Biology 2, no. 3 (June 1990): 478–84. http://dx.doi.org/10.1016/0955-0674(90)90131-w.

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23

Sharma, M., S. Kaur, M. Saluja, and P. Chhuneja. "Mapping and characterization of powdery mildew resistance gene in synthetic wheat." Czech Journal of Genetics and Plant Breeding 52, No. 3 (September 23, 2016): 120–23. http://dx.doi.org/10.17221/187/2015-cjgpb.

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24

VIKRAM, NIMBALKAR, CHIKTE DEEPALI, RAMAN TEJAL, MANIYAR SAHIL, and GAIKWAD PANDURANG. "Gene Mapping: Basics, Techniques and Significance." International Journal of Clinical and Biomedical Research 1, no. 1 (January 15, 2015): 5–14. https://doi.org/10.5281/zenodo.2532106.

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Watson says, “Like the system of interstate highways spanning our country, the map of the human genome will be completed stretch by stretch”. It may be possible to use genetic information to diagnose the disease accurately and to predict a patient’s likely response to a particular medicine or treatment. For whole genome mapping development and application of mapping, sequencing and computational tools are very essential and also linkage, physical and sequence maps are required to put the information together. For most genome mapping projects involve markers consisting of a unique site in the genome and should be independent of any particular experimental resource. For mapping purpose the DNA and RNA identification is essential. These genes are identified by hybridizing DNA clones against Northern blot, cDNA libraries, Zoo blot, Western blot and Southern blot of genomic DNA digested with rare cutter restriction endonuclease. The various experimental studies of gene mapping have extended our understanding of the genetics. This has allowed the investigators to detect a particular gene, which is responsible for the disease. Recent studies have shown the various effective and scientific gene mapping techniques and gene identification methods, which are helpful to diagnose a particular disease. It is easy for the doctor to give right medicine to the right patient to cure the disease when he can identify the defective gene responsible for disease. This article reviews the details of identification techniques of genes, gene mapping with broad applications.
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25

Kraft, Peter, and Steve Horvath. "The genetics of gene expression and gene mapping." Trends in Biotechnology 21, no. 9 (September 2003): 377–78. http://dx.doi.org/10.1016/s0167-7799(03)00191-4.

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26

Simpson, Elizabeth, Phillip Chandler, Anne McLaren, Els Goulmy, Christine M. Disteche, David C. Page, and Malcolm A. Ferguson-Smith. "Mapping the H-Y gene." Development 101, Supplement (March 1, 1987): 157–61. http://dx.doi.org/10.1242/dev.101.supplement.157.

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This paper uses cytotoxic and proliferative T cell clones specific for H-Y and restricted by MHC molecules to type mice and humans inheriting incomplete portions of the Y chromosome. The data have allowed us to map the H-Y antigen gene Hya in mouse to a position closely linked with, but separable from, Tdy on the Sxr fragment and thus presumably to a position of the normal mouse Y chromosome near the centromere. The human H-Y gene maps between deletion intervals 4B and 7, separate from TDF which is on interval 1. We are currently testing cells from a number of additional patients who have inherited different portions of the Y chromosome to pinpoint the mapping more closely. It is of interest that in mouse a Y-linked gene controlling spermatogenesis (Spy) maps near Hya on the Sxr fragment: they could be the same or closely linked genes. In man, a gene controlling spermatogenesis maps to Yq and the data so far do not exclude that it could be coincident with the H-Y gene.
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27

Kurtz, T. W., and E. M. St Lezin. "Gene mapping in experimental hypertension." Journal of the American Society of Nephrology 3, no. 1 (July 1992): 28–34. http://dx.doi.org/10.1681/asn.v3128.

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In the rat, the results of genetic linkage studies by "candidate" gene or "positional mapping" approaches have suggested that DNA sequences that regulate blood pressure may be located in the vicinity of the kallikrein gene family on chromosome 1, the gene for angiotensin-converting enzyme on chromosome 10, the renin gene on chromosome 13, and the major histocompatibility complex on chromosome 20. Some studies have also suggested that blood pressure regulatory genes may be located on the sex chromosomes. Pending the results of confirmatory studies, these experiments should be interpreted with caution. However, with confirmation of these studies, it should be possible to create a variety of new animal models that will provide excellent opportunities for investigating the molecular, biochemical, and physiologic determinants of high blood pressure. In addition, in genetic studies in humans with essential hypertension, it may be worthwhile to target chromosome regions that are homologous to those implicated in linkage studies of hypertension in rodents. By narrowing the focus on selected areas of the genome, experimental linkage studies in the rat may also be used to guide the detailed molecular approaches ultimately required to identify the specific DNA sequence alterations that give rise to increased blood pressure.
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28

Qu, Xianggui. "The Statistics of Gene Mapping." Technometrics 50, no. 1 (February 2008): 94. http://dx.doi.org/10.1198/tech.2008.s537.

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29

Harper, P. S. "Gene mapping and medical genetics." Journal of Medical Genetics 22, no. 4 (August 1, 1985): 241–42. http://dx.doi.org/10.1136/jmg.22.4.241.

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30

Shaw, D. J., J. D. Brook, A. L. Meredith, H. G. Harley, M. Sarfarazi, and P. S. Harper. "Gene mapping and chromosome 19." Journal of Medical Genetics 23, no. 1 (February 1, 1986): 2–10. http://dx.doi.org/10.1136/jmg.23.1.2.

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31

Kong, A., and F. Wright. "Asymptotic theory for gene mapping." Proceedings of the National Academy of Sciences 91, no. 21 (October 11, 1994): 9705–9. http://dx.doi.org/10.1073/pnas.91.21.9705.

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32

WOMACK, JAMES E. "Main Session II: Gene mapping." Animal Genetics 20, no. 4 (April 24, 2009): 330–31. http://dx.doi.org/10.1111/j.1365-2052.1989.tb00880.x.

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33

Ott, Jurg, and Josephine Hoh. "Statistical Approaches to Gene Mapping." American Journal of Human Genetics 67, no. 2 (August 2000): 289–94. http://dx.doi.org/10.1086/303031.

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34

Alting-Mees, M. A., and J. M. Short. "pBluescript II: gene mapping vectors." Nucleic Acids Research 17, no. 22 (1989): 9494. http://dx.doi.org/10.1093/nar/17.22.9494.

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35

Morton, N. E., and A. Collins. "The future of gene mapping." Genetic Analysis: Biomolecular Engineering 14, no. 1 (March 1997): 25–27. http://dx.doi.org/10.1016/s1050-3862(96)00170-2.

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36

Simsek, M. "Restriction mapping and gene analysis." Biochemical Education 24, no. 2 (April 1996): 117–19. http://dx.doi.org/10.1016/0307-4412(95)00158-1.

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37

Smith, M. J., and P. N. Goodfellow. "Gene mapping and genetic diseases." Current Opinion in Cell Biology 1, no. 3 (June 1989): 460–65. http://dx.doi.org/10.1016/0955-0674(89)90006-9.

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38

Frischauf, Anna-Maria. "Gene-mapping techniques and applications." Trends in Genetics 8, no. 2 (February 1992): 78. http://dx.doi.org/10.1016/0168-9525(92)90358-b.

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39

Barker, Peter E. "Gene Mapping and Cystic Fibrosis." American Journal of the Medical Sciences 299, no. 1 (January 1990): 69–72. http://dx.doi.org/10.1097/00000441-199001000-00015.

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40

Dorozynski, A. "Gene Mapping the Industrial Way." Science 256, no. 5056 (April 24, 1992): 463. http://dx.doi.org/10.1126/science.256.5056.463.

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41

Lécuyer, Eric, and Pavel Tomancak. "Mapping the gene expression universe." Current Opinion in Genetics & Development 18, no. 6 (December 2008): 506–12. http://dx.doi.org/10.1016/j.gde.2008.08.003.

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42

Galland, Joel, and Mark H. Skolnick. "A gene mapping expert system." Computers and Biomedical Research 23, no. 4 (August 1990): 297–309. http://dx.doi.org/10.1016/0010-4809(90)90023-6.

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43

Musarella, Maria A. "Gene mapping of ocular diseases." Survey of Ophthalmology 36, no. 4 (January 1992): 285–312. http://dx.doi.org/10.1016/0039-6257(92)90096-c.

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44

Frattini, Annalisa, Sara Faranda, and Paolo Vezzoni. "Computer Gene Mapping byEagI-Based STSs." Genomics 38, no. 1 (November 1996): 87–91. http://dx.doi.org/10.1006/geno.1996.0597.

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45

Chen, R., E. A. Stahl, F. A. S. Kurreeman, P. K. Gregersen, K. A. Siminovitch, J. Worthington, L. Padyukov, S. Raychaudhuri, and R. M. Plenge. "Fine mapping the TAGAP risk locus in rheumatoid arthritis." Genes & Immunity 12, no. 4 (March 10, 2011): 314–18. http://dx.doi.org/10.1038/gene.2011.8.

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46

Kitajima, H., M. Sonoda, and K. Yamamoto. "HLA and SNP haplotype mapping in the Japanese population." Genes & Immunity 13, no. 7 (August 23, 2012): 543–48. http://dx.doi.org/10.1038/gene.2012.35.

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47

Berruyer, R., H. Adreit, J. Milazzo, D. Tharreau, W. Dioh, H. U. Bohnert, I. Fudal, et al. "Characterization of Pi33, a resistance gene in rice interacting with Magnaporthe grisea avirulence gene ACE1." International Rice Research Notes 27, no. 2 (December 1, 2002): 11–12. https://doi.org/10.5281/zenodo.6822830.

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This article 'Characterization of Pi33, a resistance gene in rice interacting with Magnaporthe grisea avirulence gene ACE1' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain details on the research reported.
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48

Wen, Qing, Chang-Sik Kim, Peter W. Hamilton, and Shu-Dong Zhang. "A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping." BMC Bioinformatics 17, no. 1 (May 11, 2016): 211. https://doi.org/10.1186/s12859-016-1066-x.

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<strong>Background: </strong>Gene expression connectivity mapping has gained much popularity recently with a number of successful applications in biomedical research testifying its utility and promise. Previously methodological research in connectivity mapping mainly focused on two of the key components in the framework, namely, the reference gene expression profiles and the connectivity mapping algorithms. The other key component in this framework, the query gene signature, has been left to users to construct without much consensus on how this should be done, albeit it has been an issue most relevant to end users. As a key input to the connectivity mapping process, gene signature is crucially important in returning biologically meaningful and relevant results. This paper intends to formulate a standardized procedure for constructing high quality gene signatures from a user’s perspective.<strong>Results: </strong>We describe a two-stage process for making quality gene signatures using gene expression data as initial inputs. First, a differential gene expression analysis comparing two distinct biological states; only the genes that have passed stringent statistical criteria are considered in the second stage of the process, which involves ranking genes based on statistical as well as biological significance. We introduce a “gene signature progression” method as a standard procedure in connectivity mapping. Starting from the highest ranked gene, we progressively determine the minimum length of the gene signature that allows connections to the reference profiles (drugs) being established with a preset target false discovery rate. We use a lung cancer dataset and a breast cancer dataset as two case studies to demonstrate how this standardized procedure works, and we show that highly relevant and interesting biological connections are returned. Of particular note is gefitinib, identified as among the candidate therapeutics in our lung cancer case study. Our gene signature was based on gene expression data from Taiwan female non-smoker lung cancer patients, while there is evidence from independent studies that gefitinib is highly effective in treating women, non-smoker or former light smoker, advanced non-small cell lung cancer patients of Asian origin.<strong>Conclusions: </strong>In summary, we introduced a gene signature progression method into connectivity mapping, which enables a standardized procedure for constructing high quality gene signatures. This progression method is particularly useful when the number of differentially expressed genes identified is large, and when there is a need to prioritize them to be included in the query signature. The results from two case studies demonstrate that the approach we have developed is capable of obtaining pertinent candidate drugs with high precision.
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49

L, Sarvananda. "Unraveling the Secrets of Life: A Comprehensive Overview of Gene Discovery and Gene Mapping." Dermatology and Dermatitis 9, no. 1 (January 17, 2024): 01–03. http://dx.doi.org/10.31579/2578-8949/143.

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Gene discovery and gene mapping have been key areas of research in genetics and molecular biology for several decades. These processes are fundamental to understanding the genetic basis of numerous diseases and conditions, including cancer, diabetes, and heart disease. Gene discovery involves identifying new genes, while gene mapping involves determining their location within an organism's genome. This essay provides an overview of the methods and technologies used in gene discovery and mapping, including whole-genome sequencing, linkage analysis, association studies, and expression profiling. It also discusses the importance of gene discovery and mapping in advancing our understanding of disease biology and facilitating the development of personalized medicine. Finally, the essay considers the future prospects of these processes, including the potential for new technologies such as single-cell sequencing, CRISPR/Cas9 genome editing, and artificial intelligence to revolutionize the field of genetics research.
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50

Constantino, S., A. Resurreccion, B. Albano, J. A. Champoux, C. Villareal, G. S. Khush, and J. Bennett. "Blast analysis of the terminal sequences of cloned markers from the genetic map of rice." International Rice Research Notes 25, no. 3 (December 1, 2000): 14–15. https://doi.org/10.5281/zenodo.7005691.

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This article 'Blast analysis of the terminal sequences of cloned markers from the genetic map of rice' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain details on the research reported.
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