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Results for “genomic data”

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At least 145 records · Page 8Linked to original sources

PubMed2004

Genome informatics: taming the avalanche of genomic data.

A report on the fourth Cold Spring Harbor Laboratory/Wellcome Trust Conference on Genome Informatics, Hinxton, UK, 22-26 September 2004.

Alternative Splicing↗

PubMed2003

A Bayesian networks approach for predicting protein-protein interactions from genomic data.

We have developed an approach using Bayesian networks to predict protein-protein interactions genome-wide in yeast. Our method naturally weights and combines into reliable predictions genomic features only weakly associated with interaction (e.g., messenger RNAcoexpression, coessentiality, and colocalization). In addition to de novo predictions, it can integrate often noisy, experimental interaction data sets. We observe that at given levels of sensitivity, our predictions are more accurate than the existing high-throughput experimental data sets. We validate our predictions with TAP (tandem affinity purification) tagging experiments. Our analysis, which gives a comprehensive view of yeast interactions, is available at genecensus.org/intint.

Bayes Theorem↗

PubMed2005

Gene expression analysis of Escherichia coli grown in miniaturized bioreactor platforms for high-throughput analysis of growth and genomic data.

Combining high-throughput growth physiology and global gene expression data analysis is of significant value for integrating metabolism and genomics. We compared global gene expression using 500 ng of total RNA from Escherichia coli cultures grown in rich or defined minimal media in a miniaturized 50-microl bioreactor. The microbioreactor was fabricated out of poly(dimethylsiloxane) (PDMS) and glass and equipped to provide on-line, optical measurements. cDNA labeling for microarray hybridizations was performed with the GeniconRLS system. From these experiments, we found that the expression of 232 genes increased significantly in cells grown in minimum medium, including genes involved in amino acid biosynthesis and central metabolism. The expression of 275 genes was significantly elevated in cells grown in rich medium, including genes involved in the translational and motility apparatuses. In general, these changes in gene expression levels were similar to those observed in 1,000-fold larger cultures. The increasing rate at which complete genomic sequences of microorganisms are becoming available offers an unprecedented opportunity for investigating these organisms. Our results from microscale cultures using just 500 ng of total RNA indicate that high-throughput integration of growth physiology and genomics will be possible with novel biochemical platforms and improved detection technologies.

Bioreactors↗

PubMed1999

High-throughput DNA sequencing: a genomic data manufacturing process.

The progress trends in automated DNA sequencing operation are reviewed. Technological development in sequencing instruments, enzymatic chemistry and robotic stations has resulted in ever-increasing capacity of sequence data production. This progress leads to a higher demand on laboratory information management and data quality assessment. High-throughput laboratories face the challenge of organizational management, as well as technology management. Engineering principles of process control should be adopted in this biological data manufacturing procedure. While various systems attempt to provide solutions to automate different parts of, or even the entire process, new technical advances will continue to change the paradigm and provide new challenges.

Automation↗

PubMed2003