Results 21 to 30 of about 22,467,747 (285)

Identification of chromosomal errors in human preimplantation embryos with oligonucleotide DNA microarray. [PDF]

PLoS ONE, 2013
A previous study comparing the performance of different platforms for DNA microarray found that the oligonucleotide (oligo) microarray platform containing 385K isothermal probes had the best performance when evaluating dosage sensitivity, precision ...
Lifeng Liang, Cassie T Wang, Xiaofang Sun, Lian Liu, Man Li, Craig Witz, Daniel Williams, Jason Griffith, Josh Skorupski, Ghassan Haddad, Jimmy Gill, Wei-Hua Wang   +11 more
doaj   +1 more source

Potentials and challenges of chromosomal microarray analysis in prenatal diagnosis

Frontiers in Genetics, 2022
Introduction: For decades, conventional karyotyping analysis has been the gold standard for detecting chromosomal abnormalities during prenatal diagnosis. With the development of molecular cytogenetic methods, this situation has dramatically changed. Chromosomal microarray analysis (CMA), a method of genome-wide detection with high resolution, has been
Xijing Liu, Xijing Liu, Xijing Liu, Shanling Liu, Shanling Liu, Shanling Liu, He Wang, He Wang, He Wang, Ting Hu, Ting Hu, Ting Hu   +11 more
openaire   +3 more sources

Mean Expression of the X-Chromosome is Associated with Neuronal Density. [PDF]

, 2012
peer reviewedBackground: Neurodegenerative diseases are characterized by key features such as loss of neurons, astrocytosis, and microglial activation/proliferation. These changes cause differences in the density of cell types between control and disease
Pascal F. Durrenberger, James Thomas Swingland, Durrenberger, Pascal F, Swingland, James T., Reynolds, Richard, DEPREZ, Manuel, Pombo, A., Deprez, M, Roncaroli, F, Durrenberger, P.F., David T Dexter, Richard eReynolds, Dexter, DT, Turkheimer, Federico E; id_orcid, Turkheimer, Federico E., James T. Swingland, Ana Pombo, Federico Roncaroli, Turkheimer, FE, Swingland, J.T., Durrenberger, PF, David T. Dexter, Pombo, Ana, Dexter, David T, Durrenberger, Pascal F., Reynolds, R, Turkheimer, F.E., Manuel eDeprez, Swingland, James T, Federico E. Turkheimer, Dexter, D.T., Roncaroli, Federico, Federico eRoncaroli, Richard Reynolds, Reynolds, R., Turkheimer, Federico E, Manuel Deprez, Pombo, A, Pascal F Durrenberger, Ana ePombo, Dexter, David T., Deprez, M., Roncaroli, F., Swingland, JT   +43 more
core   +1 more source

Comparative genomics in chicken and Pekin duck using FISH mapping and microarray analysis [PDF]

, 2009
BACKGROUND: The availability of the complete chicken (Gallus gallus) genome sequence as well as a large number of chicken probes for fluorescent in-situ hybridization (FISH) and microarray resources facilitate comparative genomic studies between ...
Ioannou, D., Völker, Martin, Robertson, Lindsay, Langley, Elizabeth J, Robertson, Lindsay BW, Tempest, Helen G, Skinner, Benjamin M., Tempest, Helen G., Tempest, H., Völker, M., Skinner, M., Crooijmans, Richard P.M.A., Hall, Anthony D, Fowler, K., Skinner, Benjamin M, Robertson, L.B., Crooijmans, Richard PMA, Skinner, B., Fowler, Katie E., Griffin, Darren K, Langley, E.J., Crooijmans, R.P.M.A., Griffin, D., Hall, A., Robertson, L., Tempest, H.G., Ioannou, Dimitris, Fowler, K.E., Crooijmans, R., Griffin, Darren K., Langley, E.   +30 more
core   +1 more source

Identification of prognostic signatures in breast cancer microarray data using bayesian techniques [PDF]

, 2005
We apply a new Bayesian data analysis technique (Latent Process Decomposition) to four recent microarray datasets for breast cancer. Compared to hierarchical cluster analysis, for example, this technique has advantages such as objective assessment of the
Carrivick, L., Rogers, S, Clark, J, Girolami, M, Clark, J., Cooper, C., ,, Carrivick, L, Girolami, M., Cooper, C, Campbell, C., Campbell, CK, Carrivick, LA, Rogers, S., Campbell, C   +14 more
core   +1 more source

Current Practice and Utility of Chromosome Microarray Analysis in Infants Undergoing Cardiac Surgery [PDF]

Congenital Heart Disease, 2015
Shahryar M Chowdhury, Jason Buckley, Minoo Kavarana   +2 more
exaly   +2 more sources

Pre-implantation Genetic Testing for Aneuploidy (PGT-A)

Thai Journal of Obstetrics and Gynaecology, 2020
Preimplantation genetic diagnosis (PGD) or embryo selection was first performed in 1989 using PCR for gender selection to avoid X-linked recessive disorder. However, there was a misdiagnosis due to allele drop out (ADO). Therefore, fluorescent in situ
Wirawit Piyamongkol
doaj   +1 more source

Chromosomal microarray analysis in prenatal diagnosis

Clinical and Experimental Obstetrics & Gynecology, 2017
Genome copy number variation (CNV) is an important cause of genetic and developmental disorders. In recent years, chromosomal microarray analysis (CMA) technology to test for genomic copy number variation has been developed and gradually applied in prenatal diagnostics, offering high diagnostic ability.
Yingjun, Xie, Xiaofang, Sun
openaire   +2 more sources

Copasetic analysis: a framework for the blind analysis of microarray imagery [PDF]

, 2004
The official published version can be found at the link below.From its conception, bioinformatics has been a multidisciplinary field which blends domain expert knowledge with new and existing processing techniques, all of which are focused on a common ...
Liu, X, Wang, Z, Fraser, K, O'Neill, P
core   +1 more source

Clinical application of chromosomal microarray analysis for fetuses with craniofacial malformations [PDF]

Molecular Cytogenetics, 2020
Abstract Background: The potential correlations between chromosomal abnormalities and craniofacial malformations (CFMs) remain a challenge in prenatal diagnosis. This study aimed to evaluate 118 fetuses with CFMs by applying chromosomal microarray analysis (CMA) and G-banded chromosome analysis.
Chenyang Xu, Yanbao Xiang, Xueqin Xu, Lili Zhou, Huanzheng Li, Xueqin Dong, Shaohua Tang   +6 more
openaire   +3 more sources