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Open AccessJournal ArticleDOI

Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization

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TLDR
A comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle is created, and it is found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins.
Abstract
We sought to create a comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle. To this end, we used DNA microarrays and samples from yeast cultures sync...

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Citations
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Journal ArticleDOI

Mining frequent cross-graph quasi-cliques

TL;DR: A novel data mining problem, mining frequent cross-graph quasi-cliques, which is generalized from several interesting applications in bioinformatics, cross-market customer segmentation, social network analysis, and Web mining is investigated and practical algorithms which exploit several interesting and effective techniques and heuristics are developed.
Journal ArticleDOI

SCFMet30-mediated control of the transcriptional activator Met4 is required for the G1–S transition

TL;DR: It is found that a met4Δmet30Δ double mutant is viable, suggesting that the essential function of Met30p is to control Met4p, and in support of this hypothesis, aMet4p mutant unable to activate transcription does not cause inviability in a met30ΓΔ strain.
Journal ArticleDOI

Analysis of light and CO(2) regulation in Chlamydomonas reinhardtii using genome-wide approaches.

TL;DR: The use of differential display and DNA microarray profiling to examine environmentally-regulated gene expression is described and specific experiments using the unicellular green alga Chlamydomonas reinhardtii are shown, in which mRNA abundance is evaluated in response to both changing light and CO2 conditions.
Journal ArticleDOI

Visualizing associations between genome sequences and gene expression data using genome-mean expression profiles.

TL;DR: Analysis of GMEP's calculated from a dataset of 519 whole-genome microarray experiments in Saccharomyces cerevisiae show a significant correlation betweenGMEP's of motifs that are reverse complements, a result that supports the relationship between GMEPs and transcriptional regulation.
Proceedings Article

Joint Probabilistic Curve Clustering and Alignment

TL;DR: A probabilistic framework that allows for joint clustering and continuous alignment of sets of curves in curve space (as opposed to a fixed-dimensional feature-vector space) is developed and integrated with model-based curve clustering algorithms.
References
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Journal ArticleDOI

Cluster analysis and display of genome-wide expression patterns

TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
Journal ArticleDOI

Real time quantitative PCR.

TL;DR: Unlike other quantitative PCR methods, real-time PCR does not require post-PCR sample handling, preventing potential PCR product carry-over contamination and resulting in much faster and higher throughput assays.
Journal ArticleDOI

Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale

TL;DR: DNA microarrays containing virtually every gene of Saccharomyces cerevisiae were used to carry out a comprehensive investigation of the temporal program of gene expression accompanying the metabolic shift from fermentation to respiration, and the expression patterns of many previously uncharacterized genes provided clues to their possible functions.
Book ChapterDOI

Getting started with yeast.

TL;DR: The yeast Saccharomyces cerevisiae is now recognized as a model system representing a simple eukaryote whose genome can be easily manipulated and made particularly accessible to gene cloning and genetic engineering techniques.
Journal ArticleDOI

A Genome-Wide Transcriptional Analysis of the Mitotic Cell Cycle

TL;DR: The genome-wide characterization of mRNA transcript levels during the cell cycle of the budding yeast S. cerevisiae indicates a mechanism for local chromosomal organization in global mRNA regulation and links a range of human genes to cell cycle period-specific biological functions.
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