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Current Bioinformatics

Editor-in-Chief

ISSN (Print): 1574-8936
ISSN (Online): 2212-392X

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Perspective

Cytogenomic Bioinformatics: Practical Issues

Author(s): Ivan Y. Iourov*

Volume 14, Issue 5, 2019

Page: [372 - 373] Pages: 2

DOI: 10.2174/157489361405190628122156

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[1]
Iourov IY, Vorsanova SG, Yurov YB. Molecular cytogenetics and cytogenomics of brain diseases. Curr Genomics 2008; 9: 452-65.
[2]
Bernheim A. Cytogenomics of cancers: from chromosome to sequence. Mol Oncol 2010; 4: 309-22.
[3]
Jackson L, Pyeritz RE. Molecular technologies open new clinical genetic vistas. Sci Transl Med 2011; 3: 65ps2.
[4]
de Leeuw N, Dijkhuizen T, Hehir-Kwa JY, et al. Diagnostic interpretation of array data using public databases and internet sources. Hum Mutat 2012; 33: 930-40.
[5]
Kloosterman WP, Hochstenbach R. Deciphering the pathogenic consequences of chromosomal aberrations in human genetic disease. Mol Cytogenet 2014; 7: 100.
[6]
Heng HH, Regan S. A systems biology perspective on molecular cytogenetics. Curr Bioinform 2017; 12: 4-10.
[7]
Iourov IY, Vorsanova SG, Yurov YB. In silico molecular cytogenetics: a bioinformatic approach to prioritization of candidate genes and copy number variations for basic and clinical genome research. Mol Cytogenet 2014; 7: 98.
[8]
Yurov YB, Vorsanova SG, Iourov IY. Network-based classification of molecular cytogenetic data. Curr Bioinform 2017; 12: 27-33.
[9]
Vorsanova SG, Yurov YB, Iourov IY. Neurogenomic pathway of autism spectrum disorders: linking germline and somatic mutations to genetic-environmental interactions. Curr Bioinform 2017; 12: 19-26.
[10]
Iourov IY, Vorsanova SG, Yurov YB. Somatic cell genomics of brain disorders: a new opportunity to clarify genetic-environmental interactions. Cytogenet Genome Res 2013; 139: 181-8.
[11]
Xu F, Li L, Schulz VP, et al. Cytogenomic mapping and bioinformatic mining reveal interacting brain expressed genes for intellectual disability. Mol Cytogenet 2014; 7: 4.
[12]
Iourov IY, Zelenova MA, Vorsanova SG, Voinova VV, Yurov YB. 4q21.2q21.3 duplication: molecular and neuropsychological aspects. Curr Genomics 2018; 19: 173-8.
[13]
Rehm HL, Hynes E, Funke BH. The changing landscape of molecular diagnostic testing: implications for academic medical centers. J Pers Med 2016; 6(1): pii. E8.
[14]
Iourov IY, Vorsanova SG, Voinova VY, Yurov YB. 3p22.1p21.31 microdeletion identifies CCK as Asperger syndrome candidate gene and shows the way for therapeutic strategies in chromosome imbalances. Mol Cytogenet 2015; 8: 82.
[15]
Spielmann M, Lupiáñez DG, Mundlos S. Structural variation in the 3D genome. Nat Rev Genet 2018; 19: 453-67.

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