Literatura académica sobre el tema "Genetic markers"
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Artículos de revistas sobre el tema "Genetic markers"
Chesnokov, Yu V. "GENETIC MARKERS: COMPARATIVE CLASSIFICATION OF MOLECULAR MARKERS". Vegetable crops of Russia, n.º 3 (25 de julio de 2018): 11–15. http://dx.doi.org/10.18619/2072-9146-2018-3-11-15.
Texto completoBretting, Peter K. y Mark P. Widrlechner. "GENETIC MARKERS AND PLANT GENETIC RESOURCE MANAGEMENT". HortScience 28, n.º 5 (mayo de 1993): 472a—472. http://dx.doi.org/10.21273/hortsci.28.5.472a.
Texto completoSalava, J., Y. Wang, B. Krška, J. Polák, P. Komínek, R. W. Miller, W. M. Dowler, G. L. Reighard y A. G. Abbott. "Molecular genetic mapping in apricot". Czech Journal of Genetics and Plant Breeding 38, No. 2 (30 de julio de 2012): 65–68. http://dx.doi.org/10.17221/6113-cjgpb.
Texto completoSkibinski, David. "Genetic markers". Nature 365, n.º 6446 (octubre de 1993): 578. http://dx.doi.org/10.1038/365578a0.
Texto completoNeale, David B. y Claire G. Williams. "Restriction fragment length polymorphism mapping in conifers and applications to forest genetics and tree improvement". Canadian Journal of Forest Research 21, n.º 5 (1 de mayo de 1991): 545–54. http://dx.doi.org/10.1139/x91-076.
Texto completoTeneva, A., K. Dimitrov, Caro Petrovic, M. P. Petrovic, I. Dimitrova, N. Tyufekchiev y N. Petrov. "Molecular genetics and SSR markers as a new practice in farm animal genomic analysis for breeding and control of disease disorders". Biotehnologija u stocarstvu 29, n.º 3 (2013): 405–29. http://dx.doi.org/10.2298/bah1303405t.
Texto completoSchwartz, C. E. "22. Genetic Markers". Tumor Biology 8, n.º 2-3 (1987): 170–76. http://dx.doi.org/10.1159/000217518.
Texto completoHerrera, Victoria L. M. y Nelson Ruiz-Opazo. "Beyond genetic markers". Journal of Hypertension 12, n.º 8 (agosto de 1994): 847???856. http://dx.doi.org/10.1097/00004872-199408000-00001.
Texto completoNam, Vu Tuan, Pham Le Bich Hang, Nguyen Nhat Linh, Luu Han Ly, Huynh Thi Thu Hue, Nguyen Hai Ha, Ha Hong Hanh y Le Thi Thu Hien. "Molecular markers for analysis of plant genetic diversity". Vietnam Journal of Biotechnology 18, n.º 4 (24 de mayo de 2021): 589–608. http://dx.doi.org/10.15625/1811-4989/18/4/15326.
Texto completoBeeman, Richard W. y Susan J. Brown. "RAPD-Based Genetic Linkage Maps of Tribolium castaneum". Genetics 153, n.º 1 (1 de septiembre de 1999): 333–38. http://dx.doi.org/10.1093/genetics/153.1.333.
Texto completoTesis sobre el tema "Genetic markers"
Bitalo, Daphne Nyachaki. "Implementation of molecular markers for triticale cultivar identification and marker-assisted selection". Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/71670.
Texto completoTriticale is an amphidiploid that consists of wheat (A and B) and rye (R) genomes. This cereal is fast becoming important on a commercial basis and warrants further assessment for the better management and breeding of the hybrid. The assessment of the genetic diversity among the wheat and rye genomes within triticale can be obtained by using molecular markers developed in both donor genomes. Simple sequence repeats markers (SSRs) and amplified fragment length markers (AFLPs) have been previously used to assess the genetic diversity among triticale lines. SSRs are highly polymorphic markers that are abundant and which have been shown to be highly transferable between species in previous studies while AFLP markers are known to generate plenty of data as they cover so many loci. Thus, the aim of this study was to develop a marker system suitable to assess the genetic diversity and relationships of advanced breeding material (and cultivars) of the Stellenbosch University’s Plant Breeding Laboratory (SU-PBL). Therefore, both AFLP and SSR markers were initially analysed using eight triticale cultivars (with known pedigrees) to facilitate cultivar identification. Fourty-two AFLP primer combinations and 86 SSR markers were used to assess the genetic diversity among the Elite triticale cultivars. The AFLP primer combinations generated under average polymorphism information content (PIC) values. Furthermore, these markers generated neighbour-joining (NJ) and unweighted pair group method with arithmetic average (UPGMA) dendograms that displayed relationships that did not correspond with the available pedigree information. Therefore, this marker system was found not to be suitable. A set of 86 SSRs previously identified in both wheat and rye, was used to test the genetic diversity among the eight cultivars. The markers developed in wheat achieved 84% transferability while those developed in rye achieved 79.3% transferability. A subset of SSR markers was able to distinguish the cultivars, and correctly identify them by generating NJ and UPGMA dendograms that exhibited relationships that corroborated the available pedigree data. This panel of markers was therefore chosen as the most suitable for the assessment of the advanced breeding material. The panel of seven SSR markers was optimised for semi-automated analysis and was used to screen and detect the genetic diversity among 306 triticale entries in the F6, Senior and Elite phases of the SU-PBL triticale breeding programme. An average PIC value of 0.65 was detected and moderate genetic variation was observed. NJ and UPGMA dendograms generated showed no clear groupings. However, the panel of markers managed to accurately identify all cultivars within the breeding program. The marker panel developed in this study is being used to routinely distinguish among the advanced breeding material within the SU-PBL triticale breeding programme and as a tool in molecular-assisted backcross.
Rantapää, Dahlqvist Solbritt. "Genetic markers in rheumatoid arthritis". Doctoral thesis, Umeå universitet, Reumatologi, 1985. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-101305.
Texto completoDiss. (sammanfattning) Umeå : Umeå universitet, 1985, härtill 6 uppsatser.
digitalisering@umu
Baldwin, Samantha y n/a. "Models for genetic analysis of polyploid plant species". University of Otago. Department of Biochemistry, 2008. http://adt.otago.ac.nz./public/adt-NZDU20090826.092431.
Texto completoValdman, Alexander. "Molecular genetic markers of prostate cancer development /". Stockholm, 2003. http://diss.kib.ki.se/2003/91-7349-618-9/.
Texto completoManganaris, Athanasios Georgiou. "Isoenzymes as genetic markers in apple breeding". Thesis, Imperial College London, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389070.
Texto completoUsha, A. P. "Microsatellite markers in genetic improvement of livestock". Thesis, University of Edinburgh, 1995. http://hdl.handle.net/1842/11490.
Texto completoJohns, Neil. "Phenotypes and genetic markers of cancer cachexia". Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/23392.
Texto completoGunn, Melissa Rose School of Biological Earth & Environmental Science UNSW. "The use of microsatellites as a surrogate for quantitative trait variation in conservation". Awarded by:University of New South Wales. School of Biological, Earth and Environmental Science, 2003. http://handle.unsw.edu.au/1959.4/22457.
Texto completoAppleyard, Sharon Anne. "The application of genetic markers to Fijian Tilapia stock improvement". Thesis, Queensland University of Technology, 1998.
Buscar texto completoBadenhorst, Daleen. "Development of AFLP markers for Haliotis midae for linkage mapping". Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/21525.
Texto completoENGLISH ABSTRACT: Haliotis midae, is the only commercially important species of the six abalone species found in South African coastal waters and has become a lucrative commercial commodity. Wild stocks of H. midae are, however, no longer commercially sustainable due to a combination of environmental factors and poaching. The solution to the crisis is artificial production systems in the form of abalone farms. An abalone enhancement programme was initiated in South Africa in 2006, funded by industry and government. This programme focuses on the elucidation of the abalone genome and genetic factors contributing to increased productivity, thereby aiding the commercial production of abalone. The aims of this study, the first of its kind concerning H. midae, were to develop AFLPbased markers (specifically fluorescent AFLP analysis); to monitor the segregation of these markers in a single full-sib family and to use the markers and additional microsatellite markers to generate the first preliminary linkage map for H. midae. Genomic DNA of sufficient quality and purity for fluorescent AFLP analysis was obtained from 3.5-month-old H. midae juveniles. Preliminary linkage maps were constructed using AFLP and microsatellite markers segregating in an F1 family following a pseudo-testcross mapping strategy. Twelve AFLP primer combinations, producing 573 segregating peaks, and 10 microsatellite markers were genotyped in the parents and 108 progeny of the mapping family. Of the 573 segregating AFLP peaks genotyped, 241 segregated in a 1:1 ratio and 332 in a 3:1 ratio. Of these AFLP markers, 90 segregated according to the expected 1:1 Mendelian ratio and 164 segregated according to the expected 3:1 Mendelian ratio at the P = 0.05 level and were used for linkage analysis. Of the 10 microsatellite markers genotyped, nine were informative for linkage mapping analysis. Preliminary male and female genetic linkage maps were developed using markers segregating in the female or male parent. A total of 12 and 10 linkage groups were detected for the female and male maps respectively. The female map covered 1473.5cM and consisted of 56 markers, and the male map covered 738.9cM consisting of 30 markers. Markers with segregation distortion were observed as previously reported in other abalone species and potential homology between one of the linkage groups of the male map and two of the linkage groups of the female map were identified using the 3:1 segregating AFLP markers. In conclusion, the genetic linkage map presented here, despite the fact that it has relatively low genome coverage and low marker density, forms an ideal starting point for more detailed study of the H. midae genome and will provide a scaffold for basic and applied studies in abalone. A high-density linkage map of H. midae should in future be developed with additional co-dominant molecular markers, such as microsatellites, to improve the transferability of the linkage map between different laboratories and among populations. A high-density linkage map will facilitate the mapping of QTL of commercially important traits (i.e. growth) and future MAS breeding programmes.
AFRIKAANSE OPSOMMING: Perlemoenspesie, Haliotis midae, is die enigste spesie van kommersiële belang van die ses wat in die kuswater van Suid-Afrika aangetref word en het ‘n winsgewende handelskommoditeit in Suid-Afrika geword. Die ontginning van natuurlike H. midae populasies is egter, as gevolg van ‘n kombinasie van omgewingsfaktore en stropery nie meer kommersieel volhoubaar nie. Die perlemoenkrisis kan die hoof gebied word deur kunsmatige produksiesisteme op perlemoenplase tot stand te bring. ‘n Perlemoen verbeteringsprogram is in 2006 in Suid-Afrika geïnisieer en word deur die industrie en regering befonds. Die program focus op die ontrafeling van die perlemoen genoom en die genetiese faktore wat bydrae tot verhoogde produksie. Sodanige inligting kan gebruik word om kommersiële perlemoenproduksie te bevorder. Die doel van hierdie studie, die eerste met H. midae, is om AFLP-gebaseerde merkers (spesifiek fluoresserende AFLP analise) te ontwikkel; die segregasie van hierdie merkers te monitor in ‘n enkel volledige verwante familie en die merkers en addisionele mikrosatelliet merkers te gebruik om die eerste voorlopige koppelingskaart vir H. midae te genereer. Genomiese DNS van genoegsame kwaliteit en suiwerheid vir fluoresserende AFLP analise is ge-ekstraeer uit 3.5-maand-oue H. midae individue. Voorlopige koppelingskaart is gekonstrueer deur van segregerende AFLP en mikrosatelliet merkers in ‘n F1 familie gebruik te maak deur ‘n pseudo-kruistoets karteringstrategie te volg. Twaalf AFLP inleier kombinasies, wat 573 segregerende fragmente geproduseer het, en 10 mikrosatelliet merkers is gegenotipeer in die ouers en 108 individue van die nageslag van die karteringsfamilie. Van die 573 segregerende AFLP merkers wat gegenotipeer is, het 241 in ‘n 1:1 verhouding en 332 in ‘n 3:1 verhouding gesegregeer. Van hierdie AFLP merkers, het 90 volgens die verwagte 1:1 Mendeliese verhouding en 164 volgens die 3:1 Mendeliese verhouding by die P = 0.05 gesegregeer vlak en is vir die koppelingsanalise gebruik. Van die 10 mikrosatelliet merkers gegenotipeer, was 9 informatief vir koppeling karteringsanalise. Voorlopige manlike en vroulike genetiese koppelingskaarte is ontwikkel met gebruik te maak van merkers wat in die manlike of vroulike ouer segregeer het. ‘n Totaal van 12 en 10 koppelingsgroepe is onderskeidelik in die vroulike en manlike karate gegenereer. Die vroulike kaart dek 1473.5cM and bestaan uit 56 merkers, terwyl die manlike kaart 738.9cM beslaan het met 30 merkers. Merkers wat segregasie distorsie toon is waargeneem soos voorheen in ander perlemoenspesies gerapporteer. Potensiële ooreenstemming tussen een van die koppelingsgroepe van die manlike kaart en twee van die koppelingsgroepe van die vroulike kaart is aangetoon deur van die 3:1 segregerende AFLP merkers gebruik te maak. Die genetiese koppelingskaarte verskaf wel ‘n relatiewe lae genoomdekking en ‘n lae merkerdigtheid, maar is ‘n ideale vertrekpunt vir meer gedetailleerde studie van die H. midae genoom en dien as ‘n raamwerk vir toekomstige basiese en toegepaste studies in perlemoennavorsing. ‘n Hoëdigtheid koppelingskaart van H. midae moet in die toekoms ontwikkel word met gebruik van bykomstige ko-dominante molekulêre merkers, soos mikrosatelliete. Dit sal die oordraagbaarheid van die koppelingskaart tussen verskillende laboratoria asook tussen populasies verbeter. ‘n Hoëdigtheid koppelingskaart sal die kartering van kwantitatiewe kenmerk loki (KKL) vir kommersieel belangrike kenmerke (onder andere groeikrag) en toekomstige merker bemiddelde seleksie (MBS) teelprogramme moontlik maak.
Libros sobre el tema "Genetic markers"
Hoda, Anton-Guirgis y Lynch Henry T, eds. Biomarkers, genetics, and cancer. New York: Van Nostrand Reinhold, 1985.
Buscar texto completoBreton, Sophie. Validation des marqueurs microsatellites pour l'élaboration d'un protocole de marquage génétique chez la population d'ours noir (Ursus americanus) de la Réserve faunique des Laurentides. Québec: Société de la faune et des parcs du Québec, Direction du développement de la faune, 2003.
Buscar texto completoHaseltine, Florence P., Michael E. McClure y Ellen H. Goldberg, eds. Genetic Markers of Sex Differentiation. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4899-1965-6.
Texto completoWorkshop on Genetic Markers on Sex Differentiation (1986 Center for Population Research). Genetic markers of sex differentiation. New York: Plenum, 1987.
Buscar texto completo1962-, Hajeer Ali, Worthington Jane 1961- y John Sally 1964-, eds. SNP and microsatellite genotyping: Markers for genetic analysis. Natick, MA: Eaton Pub., 2000.
Buscar texto completoEndre, Czeizel, Benkmann Heide-G. 1942- y Goedde H. W, eds. Genetics of the Hungarian population: Ethnic aspects, genetic markers, ecogenetics, and disease spectrum. Berlin: Springer Verlag, 1991.
Buscar texto completoNATO Advanced Research Workshop on DNA Polymorphisms as Disease Markers (1990 London, England). DNA polymorphisms as disease markers. New York: Plenum Press, 1991.
Buscar texto completoBatsheva, Bonné-Tamir y Adam Avinoam, eds. Genetic diversity among Jews: Diseases and markers at the DNA level. New York: Oxford University Press, 1992.
Buscar texto completoHering, Olaf. Charakterisierung und Differenzierung bei Fusarium Link mittels RAPD und ITS-RFLP. Berlin: Parey, 1997.
Buscar texto completoMartínez, Paulino. Estimating parentage relationships using molecular markers in aquaculture. New York: Nova Science Publishers, 2008.
Buscar texto completoCapítulos de libros sobre el tema "Genetic markers"
Livneh, O. y E. Vardi. "Molecular Genetic Markers". En Hybrid Cultivar Development, 201–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-07822-8_8.
Texto completoRehman, Abdul, Hafiza Iqra Almas, Abdul Qayyum, Hongge Li, Zhen Peng, Guangyong Qin, Yinhua Jia, Zhaoe Pan, Shoupu He y Xiongming Du. "Molecular Markers and Their Applications". En Genetic Engineering, 251–83. New York: Apple Academic Press, 2023. http://dx.doi.org/10.1201/9781003378266-12.
Texto completoPathak, Rakesh. "Genetic Markers and Biotechnology". En Clusterbean: Physiology, Genetics and Cultivation, 125–43. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-907-3_7.
Texto completoRife, David C. "Dermatoglyphics as Genetic Markers". En Trends in Dermatoglyphic Research, 10–15. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2137-5_2.
Texto completoPatterson, E. B. "Translocations as Genetic Markers". En The Maize Handbook, 361–63. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2694-9_53.
Texto completoMalhotra, Era Vaidya y Madhvi Soni. "Markers and Genetic Mapping". En Strawberries, 141–59. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/b21441-194.
Texto completoNedic Erjavec, Gordana, Dubravka Svob Strac, Lucija Tudor, Marcela Konjevod, Marina Sagud y Nela Pivac. "Genetic Markers in Psychiatry". En Frontiers in Psychiatry, 53–93. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9721-0_4.
Texto completoPathak, Rakesh. "Genetic Markers and Biotechnology". En Genetics, Physiology and Cultivation of Moth Bean, Cowpea and Horse Gram, 383–96. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9956-7_21.
Texto completoPathak, Rakesh. "Genetic Markers and Biotechnology". En Genetics, Physiology and Cultivation of Moth Bean, Cowpea and Horse Gram, 273–86. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9956-7_14.
Texto completoPathak, Rakesh. "Genetic Markers and Biotechnology". En Genetics, Physiology and Cultivation of Moth Bean, Cowpea and Horse Gram, 139–62. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9956-7_7.
Texto completoActas de conferencias sobre el tema "Genetic markers"
Duca, Maria, Ana Mutu, Ina Bivol y Steliana Clapco. "Eficiența unor marcheri moleculari în discriminarea populațiilor de lupoaie originare din China". En VIIth International Scientific Conference “Genetics, Physiology and Plant Breeding”. Institute of Genetics, Physiology and Plant Protection, Republic of Moldova, 2021. http://dx.doi.org/10.53040/gppb7.2021.35.
Texto completoWang, Qiu-jin, Fu-kuan Zhao, Qing-Peng Sun y Ai-zhen Yang. "Genetic Diversity of Eggplant Revealed by SSR Markers". En 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010). IEEE, 2010. http://dx.doi.org/10.1109/icbbe.2010.5516520.
Texto completoChňapek, Milan, Lucia Mikolášova, Martin Vivodík, Zdenka Gálová, Zuzana Hromadová, Katarína Ražná y Želmíra Balážová. "Genetic Diversity of Oat Genotypes Using SCoT Markers". En IECPS 2021. Basel Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/iecps2021-11926.
Texto completoКузьмина, Л. П., А. Г. Хотулева, М. М. Коляскина, Л. М. Безрукавникова y Н. А. Анварул. "Molecular genetic markers for assessing individual sensitivity to lead". En III International Scientific Forum "Health And Safety At The Workplace". Polikraft, 2019. http://dx.doi.org/10.31089/978-985-7153-76-3-2019-1-3-175-179.
Texto completoBlinova, Evgeniya, Vladislav Nikiforov, Mariya Yanishevskau y Alexandr Akleyev. "Genetic markers associated with the development of stochastic effects". En RAD Conference. RAD Centre, 2021. http://dx.doi.org/10.21175/rad.abstr.book.2021.32.20.
Texto completoGraves, Mark. "Application of knowledge base design techniques to genetic markers". En the fourth international conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/221270.221624.
Texto completoLim, Jaehyun, Quang Duy Tran y Fabio Di Troia. "Enhancing Malware Detection Using “Genetic Markers” and Machine Learning". En 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 2023. http://dx.doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361372.
Texto completo"ISSR and SSR markers in assessing genetic diversity of Orobanche cumana". En Plant Genetics, Genomics, Bioinformatics, and Biotechnology. Novosibirsk ICG SB RAS 2021, 2021. http://dx.doi.org/10.18699/plantgen2021-042.
Texto completoGastaldi, Laura, Alessandro Battezzato, Claudio Bernucci, Marco Mannino y Stefano Pastorelli. "Optimal Fiducial Configuration in Image-Guided Neurosurgery Using a Genetic Algorithm". En ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24603.
Texto completoSchlottfeldt, Shana, Maria Emilia M. T. Walter, Jon Timmis, Andre C. P. L. F. Carvalho, Mariana P. C. Telles y Jose Alexandre F. Diniz-Filho. "Using Multi-Objective Artificial Immune Systems to Find Core Collections Based on Molecular Markers". En GECCO '15: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2739480.2754653.
Texto completoInformes sobre el tema "Genetic markers"
CREIGHTON UNIV OMAHA NE. Genetic Counseling Using BRCA1-Linked Markers. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1997. http://dx.doi.org/10.21236/ada337004.
Texto completoReisch, Bruce, Pinhas Spiegel-Roy, Norman Weeden, Gozal Ben-Hayyim y Jacques Beckmann. Genetic Analysis in vitis Using Molecular Markers. United States Department of Agriculture, abril de 1995. http://dx.doi.org/10.32747/1995.7613014.bard.
Texto completoZhang, Hongbin B., David J. Bonfil y Shahal Abbo. Genomics Tools for Legume Agronomic Gene Mapping and Cloning, and Genome Analysis: Chickpea as a Model. United States Department of Agriculture, marzo de 2003. http://dx.doi.org/10.32747/2003.7586464.bard.
Texto completoHoon, Dave S. Serum Genetic Markers as Surrogates of Prostate Cancer Progression. Fort Belvoir, VA: Defense Technical Information Center, abril de 2008. http://dx.doi.org/10.21236/ada485699.
Texto completoHoon, Dave S. Serum Genetic Markers as Surrogates of Prostate Cancer Progression. Fort Belvoir, VA: Defense Technical Information Center, abril de 2006. http://dx.doi.org/10.21236/ada463007.
Texto completoCahaner, Avigdor, Susan J. Lamont, E. Dan Heller y Jossi Hillel. Molecular Genetic Dissection of Complex Immunocompetence Traits in Broilers. United States Department of Agriculture, agosto de 2003. http://dx.doi.org/10.32747/2003.7586461.bard.
Texto completoLichy, Jack. Characterization of Breast Cancer Progression by Analysis of Genetic Markers. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1999. http://dx.doi.org/10.21236/ada375074.
Texto completoLichy, Jack. Characterization of Breast Cancer Progression by Analysis of Genetic Markers. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1996. http://dx.doi.org/10.21236/ada326464.
Texto completoBjorkquist, Angelica G., Max F. Rothschild, Michael E. Persia, Chris Ashwell, Carl Schmidt y Susan J. Lamont. Genetic Markers Found for Response to Heat Stress in Chickens. Ames (Iowa): Iowa State University, enero de 2015. http://dx.doi.org/10.31274/ans_air-180814-1318.
Texto completoLichy, Jack. Characterization of Breast Cancer Progression by Analysis of Genetic Markers. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1997. http://dx.doi.org/10.21236/ada346670.
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