Learn more about the research of Mayo Clinic's Gene Editing and Cellular Engineering Laboratory led by David (Chun-Wei) D.

Impact of specimen type on digital histopathology-based multimodal artificial intelligence (MMAI) biomarker risk score: Whole slide image vs tissue microarray.. If you have the appropriate software ...

Cell membrane microarrays have emerged in the past decade as a powerful methodology for the study of both lipids and membrane proteins at large scales. Based on that technology and the importance of ...

The first study of the use of microarray patches to vaccinate children has shown that the method is safe and induces strong immune responses. The phase 1/2 randomized trial compared results from ...

CMA includes array-based comparative genomic hybridization (aCGH) and single-nucleotide polymorphism array (SNP array). Both of aCGH and SNP array can detect large-scale and sub-microscopic ...

Table 1. On-target genotyping rates and SNP statistics for each species, including the number of reported SNPs (i.e., those previously reported in other studies based on whole-genome sequencing in the ...

CRISPR-based "SNP-Chip" can detect and quantify point mutations directly from unamplified DNA without optical instruments.

Abstract. Introduction: Novel array-based technique as SNP microarray can detect losses or gains of chromosomic material, which could be predictive of response and can help define therapeutic ...

The new microarrays are based on designs by the Cancer Cytogenomics Microarray Consortium and join Agilent’s market-leading CGH+SNP microarrays and ISCA arrays for cytogenetic research. “It is highly ...

This paper develops a Bayesian network-based approach to integrate SNP and expression microarray data. The network models SNP-gene interactions using a phenotype-centric network.

SALT LAKE CITY-- (BUSINESS WIRE)--ARUP Laboratories, a leading national clinical and anatomic pathology reference laboratory and a leader in innovative laboratory research and development, is pleased ...