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Journal articles on the topic 'Molecular analysis'

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Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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1

Falcón-Guerrero, Britto Ebert. "Omicron view a molecular analysis." Revista Médica de Trujillo 17, no. 1 (February 28, 2022): 7–8. http://dx.doi.org/10.17268/rmt.2022.v17i1.4260.

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2

J. Muhaidi, Mohammed, Mohammed A. Hamad, and Noor N. Al-hayani. "Molecular and Phylogenetic Analysis of Sheep Pox Virus in Iraq." Journal of Pure and Applied Microbiology 12, no. 4 (December 30, 2018): 1809–14. http://dx.doi.org/10.22207/jpam.12.4.14.

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3

Kostrub, C. F., F. Al-Khodairy, H. Ghazizadeh, A. M. Carr, and T. Enoch. "Molecular analysis of." MGG - Molecular & General Genetics 254, no. 4 (1997): 389. http://dx.doi.org/10.1007/s004380050431.

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4

Chee, Hee Youn, and Yoon Kyoung Kim. "Molecular Analysis ofExophialaSpecies Using Molecular Markers." Mycobiology 30, no. 1 (2002): 1. http://dx.doi.org/10.4489/myco.2002.30.1.001.

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5

Erfaninejad, Maryam, and Majid Zarrin. "Molecular analysis of aflR gene in Aspergillus flavus isolated from Iran." Ukraïnsʹkij žurnal medicini, bìologìï ta sportu 6, no. 1 (February 26, 2021): 173–76. http://dx.doi.org/10.26693/jmbs06.01.173.

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Aspergillus flavus produces the most potent carcinogens, aflatoxins, when it contaminates agricultural crops. aflR gene regulates aflatoxin-related genes and it has been identified in four species of A. flavus, A. parasiticus, A. sojae and A. oryzae. Contamination of agricultural commodities with aflatoxin is a grave risk to humans and animals’ health. Aflatoxin related genes are clustered in a 75 kb region of genome in A. flavus. Investigations obviously demonstrated that aflatoxin biosynthesis needs the aflR gene product and an entirely functional aflatoxin biosynthetic cluster. The purpose of the current study was to investigate the presence of the aflR gene in A. flavus. Material and methods. Forty-two A. flavus isolates including 10 references, 25 clinical and 7 environmental isolates were analyzed in this study. The isolates were identified by morphology. To characterize morphologically, the conidial arrangement, philiades, vesicles and conidiophores were observed microscopically. Using PCR, the aflR gene was amplified with primers aflR1 and aflR2. PCR were carried out to amplify an 800 bp DNA fragment of aflR gene. Some amplicons were sequenced. The sequences were searched in NCBI database and analyzed with MEGA5 software. Results and discussion. Out of 42 A. flavus isolates, an 800 bp band was amplified for 35 isolates. No band was observed for seven isolates including 4 clinical and 3 environmental isolates. Data analysis demonstrated that 100% of reference strains and 84% of clinical strains produced the expected fragment while it was only 57.14% for environmental isolates. The sequences had 100% identity with A. flavus aflR gene which was deposited in the NCBI database. Conclusion. In conclusion, molecular analysis of the aflR gene showed that this gene was not amplified from some strains of A.flavus; therefore, perhaps it lacks the gene or it is greatly abnormal. Additional researches are needed to verify whether the strains with lack of aflR gene have a loss of function in production of aflatoxin or other mechanisms of regulation exist
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6

Di Vaio, C., C. Villano, and N. Marallo. "Molecular analysis of native cultivars of sweet cherry in Southern Italy." Horticultural Science 42, No. 3 (June 2, 2016): 114–18. http://dx.doi.org/10.17221/352/2014-hortsci.

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7

Park, Jae Kweon, Jio Song, Eung Take Lee, Ji Hyun Lee, and Hyun Lee. "Matrix Sensitivity and Interpretation for Precise Molecular Weight Analysis of Chitosan Hydrolysates." Journal of Chitin and Chitosan 27, no. 2 (June 30, 2022): 94–103. http://dx.doi.org/10.17642/jcc.27.2.5.

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8

OM, Amin. "Molecular Analysis of Pomphorhynchus kashmirensis based on 18S rDNA and ITS-rDNA." International Journal of Zoology and Animal Biology 5, no. 2 (2022): 1–8. http://dx.doi.org/10.23880/izab-16000372.

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Pomphorhynchus kashmirensis Kaw, 1941 was redescribed to correct inadequacies in the original description. We provide a molecular characterization to qualify its now completed morphological description and to compare with related taxa. Sequences of the 18S rDNA and ITS-rDNA datasets of specimens of P. kashmirensis were generated for assessment of gene diversity and the phylogenetic analyses. Comparative sequence analysis indicated interspecific variation between P. kashmirensis with different species of Pomphorhynchus was 0.2-1.4% and 2.4-36.4% based on 18S rDNA and ITS-rDNA datasets, respectively. The ITS-rDNA region is more variable than 18S rDNA within members of the family Pomphorhynchidae and it appears appropriate for assessment of their biodiversity. Our phylogenetic analyses showed that taxonomic position of the species P. kashmirensis is closely related with P. tereticollis and P. laevis. Also, the systematic status of Tenuiproboscis and Longicollum is uncertain within the family Pomphorhynchidae. Therefore, further molecular investigations will be needed for better understanding of the phylogenetic relationships in this family.
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9

Gunamalai, Lavanya, and C. Jaynthy C.Jaynthy. "In Silico Molecular Interaction Analysis Of Type I Collagen Telopeptides With Cyclodextrins." International Journal of Scientific Research 3, no. 8 (June 1, 2012): 25–27. http://dx.doi.org/10.15373/22778179/august2014/8.

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10

Nandi, S., S. Chidri, and M. Kumar. "Molecular characterization and phylogenetic analysis of a canine parvovirus isolate in India." Veterinární Medicína 54, No. 10 (November 13, 2009): 483–90. http://dx.doi.org/10.17221/147/2009-vetmed.

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Canine parvovirus 2 (CPV-2) is the causative agent of acute hemorrhagic enteritis and myocarditis in dogs. In this study the nucleotide sequence of the VP1/VP2 gene of a CPV isolate from India was analyzed and the phylogenetic relationship with other CPV isolates was established. Out of 36 samples analyzed, 16 were found positive for CPV-2 by polymerase chain reaction (PCR). Among the 16 positive samples, five were inoculated in MDCK cells for isolation out of which one adapted successfully to the cell culture system. Phylogenetic analysis based on the nucleotide sequence of the VP-1/VP-2 gene revealed that the Indian isolate closely resembled a CPV-2b Italian strain, showing 98.4% nucleotide sequence homology indicating very little genetic divergence since it was first identified in 1978.
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11

Kini, Ameet R. "Molecular Analysis of Cancer." Archives of Pathology & Laboratory Medicine 126, no. 7 (July 1, 2002): 878–79. http://dx.doi.org/10.5858/2002-126-878b-maoc.

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12

Fukumaki, Yasuyuki. "Molecular analysis of thalassemia." SEIBUTSU BUTSURI KAGAKU 30, no. 6 (1986): 409–16. http://dx.doi.org/10.2198/sbk.30.409.

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13

Fujimura, Hiroshi, Shigemi Ariyama, Tatuo Otani, Hideto Oshita, Yukinori Okazaki, and Tadayoshi Takemoto. "Molecular Analysis of PRT." JOURNAL OF JAPAN SOCIETY FOR LASER SURGERY AND MEDICINE 6, no. 3 (1986): 109–12. http://dx.doi.org/10.2530/jslsm1980.6.3_109.

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14

Tafti, M., and P. Franken. "Molecular Analysis of Sleep." Cold Spring Harbor Symposia on Quantitative Biology 72, no. 1 (January 2007): 573–78. http://dx.doi.org/10.1101/sqb.2007.72.054.

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15

Hinze, Juergen, F. Biegler-Konig, and A. G. Lowe. "Molecular charge density analysis." Canadian Journal of Chemistry 74, no. 6 (June 1, 1996): 1049–53. http://dx.doi.org/10.1139/v96-117.

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It is proposed to analyse the first-order reduced density matrix of a molecular wave function in terms of the first-order reduced density matrices of different states of the constituent atoms. With this an unambiguous partitioning of the molecular charge distribution in terms of the atomic charge distributions is obtained. Simple practical formulae are derived, such that in many ab initio molecular wave function calculations the analysis proposed can be carried out routinely. The results obtained should be useful for the interpretation of molecular wave functions in terms of their atomic constituents, as well as for the determination of atomic form factors to be used in X-ray molecular structure determination. Some simple examples are given, and the results obtained are compared with those obtained using other methods of analysis. Key words: charge density, density matrix, goodness-of-fit, correlation coefficient, standard deviation.
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16

Sixt, Barbara S., and Raphael H. Valdivia. "Molecular Genetic Analysis ofChlamydiaSpecies." Annual Review of Microbiology 70, no. 1 (September 8, 2016): 179–98. http://dx.doi.org/10.1146/annurev-micro-102215-095539.

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17

Hines, Randall S. "Molecular Analysis of Implantation." Seminars in Reproductive Medicine 18, no. 01 (2000): 091–96. http://dx.doi.org/10.1055/s-2000-13479.

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18

Al-zamil, I. Z., and Alan Townshend. "Molecular emission cavity analysis." Analytica Chimica Acta 209 (1988): 275–79. http://dx.doi.org/10.1016/s0003-2670(00)84572-9.

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19

Borén, Mats. "Improving Molecular Distribution Analysis." Genetic Engineering & Biotechnology News 33, no. 13 (July 2013): 24–25. http://dx.doi.org/10.1089/gen.33.13.12.

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20

Al-zamil, I. Z., and Alan Townshend. "Molecular emission cavity analysis." Analytica Chimica Acta 207 (1988): 355–59. http://dx.doi.org/10.1016/s0003-2670(00)80814-4.

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21

Win, Thin Thida, Amadu Jalloh, Indah Setyawati Tantular, Takafumi Tsuboi, Marcelo Urbano Ferreira, Masatsugu Kimura, and Fumihiko Kawamoto. "Molecular Analysis ofPlasmodium ovaleVariants." Emerging Infectious Diseases 10, no. 7 (July 2004): 1235–40. http://dx.doi.org/10.3201/eid1007.030411.

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22

Badve, Sunil, Chirayu Goswami, Yesim Gökmen–Polar, Robert P. Nelson, John Henley, Nick Miller, Narjis A. Zaheer, et al. "Molecular Analysis of Thymoma." PLoS ONE 7, no. 8 (August 13, 2012): e42669. http://dx.doi.org/10.1371/journal.pone.0042669.

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23

Pfister, Peter, Alain Wasserfallen, Rolf Stettler, and Thomas Leisinger. "Molecular analysis ofMethanobacteriumphage ΨM2." Molecular Microbiology 30, no. 2 (October 1998): 233–44. http://dx.doi.org/10.1046/j.1365-2958.1998.01073.x.

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24

McKenzie, Steven E., Elaine Mansfield, Eric Rappaport, Saul Surrey, and Paolo Fortina. "Parallel molecular genetic analysis." European Journal of Human Genetics 6, no. 5 (September 1998): 417–29. http://dx.doi.org/10.1038/sj.ejhg.5200218.

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25

Titgemeyer, F., K. Jahreis, R. Ebner, and J. W. Lengeler. "Molecular analysis of the." MGG Molecular & General Genetics 250, no. 2 (1996): 197. http://dx.doi.org/10.1007/s004380050067.

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26

Busch, Maximilian, Ulrike Mayer, and Gerd Jürgens. "Molecular analysis of the." MGG Molecular & General Genetics 250, no. 6 (1996): 681. http://dx.doi.org/10.1007/s004380050121.

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27

Banchereau, J., R. Steinman, J. Banchereau, I. MacLennan, D. Gray, S. T. Pals, T. Defrance, and J. Dechanet. "Molecular analysis of microenvironment." Research in Immunology 144, no. 6-7 (January 1993): 529–31. http://dx.doi.org/10.1016/0923-2494(93)80161-q.

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28

Bruno, C., M. E. Videla, and M. Balzarini. "TEST OF INTERACTION IN THE ANALYSIS OF MOLECULAR VARIANCE." Journal of Basic and Applied Genetics 30, no. 1 (July 2019): 17–23. http://dx.doi.org/10.35407/bag.2019.xxx.01.03.

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The genomic diversity, expressed in the differences between molecular haplotypes of a group of individuals, can be divided into components of variability between and within some factor of classification of the individuals. For such variance partitioning, molecular analysis of variance (AMOVA) is used, which is constructed from the multivariate distances between pairs of haplotypes. The classical AMOVA allows the evaluation of the statistical significance of two or more hierarchical factors and consequently there is no interaction test between factors. However, there are situations where the factors that classify individuals are crossed rather than nested, that is, all the levels of a factor are represented in each level of the other one. This paper proposes a statistical test to evaluate the interaction between crossed factors in a Non-Hierarchical AMOVA. The null hypothesis of interaction establishes that the molecular differences between individuals of different levels of a factor are the same for all the levels of the other factor that classifies them. The proposed analysis of interaction in a Non-Hierarchical AMOVA includes: calculation of the distance matrix and partition of it into blocks, subsequent calculation of residuals and analysis of non-parametric variance on the residuals. Its implementation is illustrated in simulated and real scenarios. The results suggest that the proposed interaction test for the Non-Hierarchical AMOVA presents high power. Key words: genetic variability, non-parametric methods, distances matrix, AMOVA.
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29

Vural, H. C., and A. Akcin. "Molecular Analysis of Chickpea Species Through Molecular Markers." Biotechnology & Biotechnological Equipment 24, no. 2 (January 2010): 1828–32. http://dx.doi.org/10.2478/v10133-010-0046-y.

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30

Iwasaki, Satoshi, Ken'ya Furuta, Toshihiko Sakuma, Masaki Edamatsu, and Yoko Y. Toyoshima. "2P227 Analysis of single molecule motility of mitotic kinesins(37. Molecular motor (II),Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S352. http://dx.doi.org/10.2142/biophys.46.s352_3.

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31

Alsanie, Walaa, Ebaa Felemban, Mona Farid, Mohamed Hassan, Ayman Sabry, and Ahmed Gaber. "Molecular Identification and Phylogenetic Analysis of Multidrug-resistant Bacteria using 16S rDNA Sequencing." Journal of Pure and Applied Microbiology 12, no. 2 (June 30, 2018): 489–96. http://dx.doi.org/10.22207/jpam.12.2.07.

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32

Ding, Lanping, Linhong Teng, Qinqin Lu, Rixiao Luan, and Bingxin Huang. "The morphological comparison, variation and molecular analysis between two green tidal algae Enteromorpha." Algological Studies 145-146 (October 1, 2014): 27–38. http://dx.doi.org/10.1127/1864-1318/2014/0144.

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33

Sharma, Monika, Prakash Jha, Priyanka Verma, and Madhu Chopra. "Combined comparative molecular field analysis, comparative molecular similarity indices analysis, molecular docking and molecular dynamics studies of histone deacetylase 6 inhibitors." Chemical Biology & Drug Design 93, no. 5 (February 14, 2019): 910–25. http://dx.doi.org/10.1111/cbdd.13488.

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34

Briet, Philippe, and André Martinez. "Molecular dynamics at an energy-level crossing." Journal of Differential Equations 267, no. 10 (November 2019): 5662–700. http://dx.doi.org/10.1016/j.jde.2019.06.004.

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35

Krivov, Sergei V. "Blind Analysis of Molecular Dynamics." Journal of Chemical Theory and Computation 17, no. 5 (April 29, 2021): 2725–36. http://dx.doi.org/10.1021/acs.jctc.0c01277.

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36

John, Joseph F. "Molecular Analysis of Nosocomial Epidemics." Infectious Disease Clinics of North America 3, no. 4 (December 1989): 683–700. http://dx.doi.org/10.1016/s0891-5520(20)30302-0.

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37

Condeelis, John. "Molecular Analysis of Amoeboid Chemotaxis." Cancer Investigation 8, no. 6 (January 1990): 659–60. http://dx.doi.org/10.3109/07357909009018939.

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38

Yazaki, Yoshio, Ryozo Nagai, Tatsuhiko Kodama, and Yoshinori Seko. "Molecular analysis of vascular disease." Ensho 12, no. 3 (1992): 213–19. http://dx.doi.org/10.2492/jsir1981.12.213.

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39

Zambon, Joseph J., Gregory J. Sunday, and John S. Smutko. "Molecular Genetic Analysis ofActinobacillus actinomycetemcomitansEpidemiology." Journal of Periodontology 61, no. 2 (February 1990): 75–80. http://dx.doi.org/10.1902/jop.1990.61.2.75.

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40

Williamson, Roger A., and Jeffrey C. Murray. "Molecular Analysis of Genetic Disorders." Clinical Obstetrics and Gynecology 31, no. 2 (June 1988): 270–84. http://dx.doi.org/10.1097/00003081-198806000-00006.

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41

Simón, Marc, Rafael Montiel, Andrea Smerling, Eduvigis Solórzano, Nancy Díaz, Brenda A. Álvarez-Sandoval, Andrea R. Jiménez-Marín, and Assumpció Malgosa. "Molecular analysis of ancient caries." Proceedings of the Royal Society B: Biological Sciences 281, no. 1790 (September 7, 2014): 20140586. http://dx.doi.org/10.1098/rspb.2014.0586.

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An 84 base pair sequence of the Streptococcus mutans virulence factor, known as dextranase, has been obtained from 10 individuals from the Bronze Age to the Modern Era in Europe and from before and after the colonization in America. Modern samples show four polymorphic sites that have not been found in the ancient samples studied so far. The nucleotide and haplotype diversity of this region have increased over time, which could be reflecting the footprint of a population expansion. While this segment has apparently evolved according to neutral evolution, we have been able to detect one site that is under positive selection pressure both in present and past populations. This study is a first step to study the evolution of this microorganism, analysed using direct evidence obtained from ancient remains.
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42

Zarrilli, Federica, Rossella Tomaiuolo, Carlo Ceglia, Barbara Lombardo, Barbara Izzo, Giuseppe Castaldo, Lucio Pastore, and Roberto De Simone. "Molecular Analysis of Cluster Headache." Clinical Journal of Pain 31, no. 1 (January 2015): 52–57. http://dx.doi.org/10.1097/ajp.0000000000000075.

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43

Chakraborty, Trinad, Sophia Kathariou, Jorg Hacker, Herbert Hof, Burkhard Huhle, Wilma Wagner, Michael Kuhn, and Werner Goebel. "Molecular Analysis of Bacterial Cytolysins." Clinical Infectious Diseases 9, Supplement_5 (September 1, 1987): S456—S466. http://dx.doi.org/10.1093/clinids/9.supplement_5.s456.

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44

Poller, Wolfgang, and Helmut Schatz. "Molecular Genetic Analysis of NIDDM." Experimental and Clinical Endocrinology & Diabetes 101, no. 02 (July 15, 2009): 58–68. http://dx.doi.org/10.1055/s-0029-1211209.

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45

Nievergelt, Caroline M., Ondrej Libiger, and Nicholas J. Schork. "Generalized Analysis of Molecular Variance." PLoS Genetics 3, no. 4 (April 6, 2007): e51. http://dx.doi.org/10.1371/journal.pgen.0030051.

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46

Nievergelt, Caroline M., Ondrej Libiger, and Nik J. Schork. "Generalized Analysis of Molecular Variance." PLoS Genetics preprint, no. 2007 (2005): e51. http://dx.doi.org/10.1371/journal.pgen.0030051.eor.

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47

Yasugi, Sadao, and Takeo Mizuno. "Molecular analysis of endoderm regionalization." Development, Growth & Differentiation 50 (April 22, 2008): S79—S96. http://dx.doi.org/10.1111/j.1440-169x.2008.00984.x.

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48

Williams, D. E. "Ab initio molecular packing analysis." Acta Crystallographica Section A Foundations of Crystallography 52, no. 2 (March 1, 1996): 326–28. http://dx.doi.org/10.1107/s0108767395016679.

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49

Noton, Elizabeth A., Rita Colnaghi, Sharon Tate, Carlene Starck, Ana Carvalho, Paul Ko Ferrigno, and Sally P. Wheatley. "Molecular Analysis of Survivin Isoforms." Journal of Biological Chemistry 281, no. 2 (November 16, 2005): 1286–95. http://dx.doi.org/10.1074/jbc.m508773200.

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50

Ikeda, Hidetoshi. "Molecular analysis of moyamoya disease." Nosotchu 24, no. 4 (2002): 485–90. http://dx.doi.org/10.3995/jstroke.24.485.

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