Results 311 to 320 of about 1,520,842 (344)

GenoBaits Soy40K: a highly flexible and low-cost SNP array for soybean studies

Science China Life Sciences, 2022
Yucheng Liu, Shulin Liu, Zhifang Zhang, Lingbin Ni, Xingming Chen, Yunxia Ge, Guo-an Zhou, Zhixi Tian   +7 more
semanticscholar   +1 more source

Universal Tag Arrays in Forensic SNP Analysis

2004
Microarray-based single nucleotide polymorphism (SNP) genotyping enables simultaneous and rapid detection of a large number of markers and is thus an attractive method for forensic individual acid identification. This assay relies on a one-color detection system and minisequencing in solution before hybridization to universal tag arrays.
Anna-Maria Divne, Marie Allen
openaire   +3 more sources

Contribution of SNP arrays in diagnosis of deletion 2p11.2–p12

Gene, 2012
Deletions of the short arm of chromosome 2 are exceedingly rare, having been reported in few patients. Furthermore most cases with deletion in 2p11.2-p12 have been studied using standard karyotype and so it is not possible to delineate the precise size of deletions.
Rocca, Maria Santa, Fabretto, Antonella, Faletra, Flavio, Carlet, Ombretta, Skabar, Aldo, Gasparini, Paolo, Pecile, Vanna   +6 more
openaire   +4 more sources

SNPs on Chips: The Hidden Genetic Code in Expression Arrays

Biological Psychiatry, 2007
Gene expression microarray analysis in postmortem brains is one of the fastest growing fields of psychiatric research. Here we show that common polymorphisms (SNPs) present on probe sets can masquerade as significant "gene expression" differences. After first observing this artifact in the Catechol-O-methyl transferase (COMT) gene, we replicate the ...
Edward G. Jones, Terence P. Speed, Elzbieta Sliwerska, Huda Akil, Huda Akil, Margit Burmeister, Margit Burmeister, Stanley J. Watson, Stanley J. Watson, William E. Bunney, Fan Meng   +10 more
openaire   +3 more sources

Estimation of Missing Values in SNP Array

2014
DNA microarray usage in genetics is rapidly proliferating, generating huge amount of data. It is estimated that around 5-20% of measurements do not succeed, leading to missing values in the data destined for further analysis. Missing values in further microarray analysis lead to low reliability, therefore there is a need for effective and efficient ...
openaire   +2 more sources

Use of SNP-Arrays for ChIP Assays: Computational Aspects

2009
The simultaneous genotyping of thousands of single nucleotide polymorphisms (SNPs) in a genome using SNP-Arrays is a very important tool that is revolutionizing genetics and molecular biology. We expanded the utility of this technique by using it following chromatin immunoprecipitation (ChIP) to assess the multiple genomic locations protected by a ...
Enrique M. Muro, Miguel A. Andrade-Navarro, Jennifer A. McCann, Michael A. Rudnicki   +3 more
openaire   +3 more sources

A 55 K SNP array-based genetic map and its utilization in QTL mapping for productive tiller number in common wheat

Theoretical and Applied Genetics, 2018
Jiajun Liu, W. Luo, Nana Qin, P. Ding, Han Zhang, Congcong Yang, Y. Mu, H. Tang, Yaxi Liu, Wei Li, Q. Jiang, Guoyue Chen, Yuming Wei, Youliang Zheng, Chunji Liu, X. Lan, Jian Ma   +16 more
semanticscholar   +1 more source

In-situ reconstructed Ru atom array on α-MnO2 with enhanced performance for acidic water oxidation

Nature Catalysis, 2021
Chao Lin, Ji-Li Li, Xiaopeng Li
exaly  

Development of an Axiom Sugarcane100K SNP array for genetic map construction and QTL identification

Theoretical and Applied Genetics, 2019
Qian You, Xiping Yang, Ze Peng, M. Islam, S. Sood, Ziliang Luo, J. Comstock, Liping Xu, Jianping Wang   +8 more
semanticscholar   +1 more source

A programmable diffractive deep neural network based on a digital-coding metasurface array

Nature Electronics, 2022
Che Liu, Qian, Zhangjie Luo
exaly