M
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.
Papers
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Journal ArticleDOI
Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis
Elizabeth A. Winzeler,Daniel D. Shoemaker,Anna Astromoff,Hong Liang,Keith Anderson,Bruno André,Rhonda Bangham,Rocío Benito,Jef D. Boeke,Howard Bussey,Angela M. Chu,Carla Connelly,Karen Davis,Fred S. Dietrich,Sally Dow,Mohamed El Bakkoury,Françoise Foury,Stephen H. Friend,Erik Gentalen,Guri Giaever,Johannes H. Hegemann,Ted Jones,Michael T. Laub,Hong Liao,Nicole Liebundguth,David J. Lockhart,Anca Lucau-Danila,Marc Lussier,Nasiha M'Rabet,Patrice Menard,Michael Mittmann,Chai Pai,Corinne Rebischung,José L. Revuelta,Linda Riles,Christopher J. Roberts,Petra Ross-Macdonald,Bart Scherens,Michael Snyder,Sharon Sookhai-Mahadeo,Reginald Storms,Steeve Veronneau,Marleen Voet,Guido Volckaert,Teresa R. Ward,Robert W. Wysocki,Grace Yen,Kexin Yu,Katja Zimmermann,Peter Philippsen,Mark Johnston,Ronald W. Davis +51 more
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
Derek Bernhart,Ming-Hsiu Ho,Luis Jevons,David J. Lockhart,Michael Mittmann,Macdonald S. Morris,Teresa Webster +6 more
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.