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Michael Mittmann

Researcher at Affymetrix

Publications -  16
Citations -  5650

Michael Mittmann is an academic researcher from Affymetrix. The author has contributed to research in topics: Nucleic acid & Nucleic acid sequence. The author has an hindex of 9, co-authored 16 publications receiving 5468 citations. Previous affiliations of Michael Mittmann include Thermo Fisher Scientific.

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Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis

TL;DR: A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome), finding that 17 percent were essential for viability in rich medium.
Journal ArticleDOI

Genome-wide expression monitoring in Saccharomyces cerevisiae

TL;DR: The genomic sequence of the budding yeast Saccharomyces cerevisiae has been used to design and synthesize high-density oligonucleotide arrays for monitoring the expression levels of nearly all yeast genes, and many of the genes observed to be differentially expressed under these conditions are expected, but large differences are also observed.
Patent

Kits and methods for the detection of target nucleic acids with help of tag nucleic acids

TL;DR: In this article, the authors used tag nucleic acids and VLSIPS arrays to label and track compositions including cells and viruses, e.g., in libraries of cells or viruses.
Journal ArticleDOI

High-throughput polymorphism screening and genotyping with high-density oligonucleotide arrays.

TL;DR: Based on the preliminary results, using oligonucleotide arrays to genotype several thousand polymorphic loci simultaneously appears feasible.
Patent

Computer-aided techniques for analyzing biological sequences

Abstract: Computer-aided techniques for analyzing biological sequences like nucleic acids are provided. The computer system may analyze hybridization intensities indicating hybridization affinity between nucleic acid probes and a sample nucleic acid sequence in order to call bases in the sample sequence. Multiple base calls may be combined to form a single base call. Additionally, the computer system may analyze hybridization intensities in order to monitor gene expression or the change in gene expression as compared to a baseline.