Results 111 to 120 of about 75,410 (157)

QTL Mapping of Yield-Related Traits in Tetraploid Wheat Based on Wheat55K SNP Array. [PDF]

open access: yesPlants (Basel)
Jia Y   +11 more
europepmc   +1 more source

Mapping of Aegilops speltoides derived leaf rust and stripe rust resistance genes using 35K SNP array. [PDF]

open access: yesBMC Genom Data
Kaur B   +7 more
europepmc   +1 more source

Genome-wide QTL mapping for agronomic traits in the winter wheat cultivar Pindong 34 based on 90K SNP array. [PDF]

open access: yesFront Plant Sci
Zhang L   +15 more
europepmc   +1 more source

Molecular Karyotyping: From Microscope to SNP Arrays

Hormone Research in Paediatrics, 2011
Chromosomal rearrangements are an important cause of distinctive and recognizable clinical phenotypes. For many years conventional karyotyping has been a successful tool to detect such chromosomal rearrangements. However, this technique has a limited resolution of 5–10 Mb.
Gijsbers, A.C.J., Ruivenkamp, C.A.L.
openaire   +4 more sources

Correction of database SNP accession numbers misassigned to SNPs of the 8K IRSC apple SNP array

Tree Genetics & Genomes, 2021
Accurate SNP locus identifiers are essential for the correct matching and aggregation of multiple historical datasets. The National Center for Biotechnology Information (NCBI) issued unique "submitted SNP identification" numbers (sslDs) for every published SNP submitted to its database.
Daniel A. Edge-Garza   +3 more
openaire   +3 more sources

Analyzing Cancer Samples with SNP Arrays

2011
Single nucleotide polymorphism (SNP) arrays are powerful tools to delineate genomic aberrations in cancer genomes. However, the analysis of these SNP array data of cancer samples is complicated by three phenomena: (a) aneuploidy: due to massive aberrations, the total DNA content of a cancer cell can differ significantly from its normal two copies; (b ...
Peter, Van Loo   +6 more
openaire   +2 more sources

Copy Number and SNP Arrays in Clinical Diagnostics

Annual Review of Genomics and Human Genetics, 2011
The ability of chromosome microarray analysis (CMA) to detect submicroscopic genetic abnormalities has revolutionized the clinical diagnostic approach to individuals with intellectual disability, neurobehavioral phenotypes, and congenital malformations.
Christian P, Schaaf   +2 more
openaire   +2 more sources

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