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Artigos de revistas sobre o tema "Gene mapping"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 25 de julho de 2025

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1

Ehrhart, Friederike, Jonathan Melius, Elisa Cirillo, et al. "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 demonst

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2

Lathrop, Gregory M., Dora Cherif, Cécile Julier, and Michael James. "Gene mapping." Current Opinion in Biotechnology 1, no. 2 (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 (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 (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 (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 det

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7

Daniels, D. L., and F. R. Blattner. "Mapping using gene encyclopaedias." Nature 325, no. 6107 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 un

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25

Kraft, Peter, and Steve Horvath. "The genetics of gene expression and gene mapping." Trends in Biotechnology 21, no. 9 (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, et al. "Mapping the H-Y gene." Development 101, Supplement (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 inhe

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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 (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 c

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28

Qu, Xianggui. "The Statistics of Gene Mapping." Technometrics 50, no. 1 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (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 (1996): 87–91. http://dx.doi.org/10.1006/geno.1996.0597.

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45

Stahl, Merle, Lena J. Straßer, Chit Tong Lio, Judith Bernett, Richard Röttger, and Markus List. "Refinement strategies for Tangram for reliable single-cell to spatial mapping." Bioinformatics 41, Supplement_1 (2025): i552—i560. https://doi.org/10.1093/bioinformatics/btaf194.

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Abstract Motivation Single-cell RNA sequencing (scRNA-seq) provides comprehensive gene expression data at a single-cell level but lacks spatial context. In contrast, spatial transcriptomics captures both spatial and transcriptional information but is limited by resolution, sensitivity, or feasibility. No single technology combines both the high spatial resolution and deep transcriptomic profiling at the single-cell level without tradeoffs. Spatial mapping tools that integrate scRNA-seq and spatial transcriptomics data are crucial to bridge this gap. However, we found that Tangram, one of the m

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46

Chen, R., E. A. Stahl, F. A. S. Kurreeman, et al. "Fine mapping the TAGAP risk locus in rheumatoid arthritis." Genes & Immunity 12, no. 4 (2011): 314–18. http://dx.doi.org/10.1038/gene.2011.8.

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47

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

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48

Berruyer, R., H. Adreit, J. Milazzo, et al. "Characterization of Pi33, a resistance gene in rice interacting with Magnaporthe grisea avirulence gene ACE1." International Rice Research Notes 27, no. 2 (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 th

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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 (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.

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50

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 (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

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