BackgroundApplication of microarrays in omics technologies enables quantification of many biomolecules simultaneously. It is widely applied to observe the positive or negative effect on biomolecule activity in perturbed versus the steady state by quantitative comparison. Community resources, such as Bioconductor and CRAN, host tools based on R language that have become standard for high-throughput analytics. However, application of these tools is technically challenging for generic users and require specific computational skills. There is a need for intuitive and easy-to-use platform to process omics data, visualize, and interpret results.ResultsWe propose an integrated software solution, eUTOPIA, that implements a set of essential processi...
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC intro...
Background: There has been a dramatic increase in the amount of quantitative data derived from the m...
The amount of biological data, generated with (single cell) omics technologies, is rapidly increasin...
BackgroundApplication of microarrays in omics technologies enables quantification of many biomolecul...
Application of microarrays in omics technologies enables quantification of many biomolecules simulta...
Abstract Background Application of microarrays in omi...
Background: Microarray data analysis presents a significant challenge to researchers who are unable ...
Background In the past decade, RNA sequencing and mass spectrometry based quantitative approaches ar...
High-throughput technologies are now widely used in the life sciences field and are producing ever-i...
We have implemented a self-contained package for DNA microarray analysis in R. The package is named ...
International audienceBACKGROUND: The increasing number of methodologies and tools currently availab...
High-throughput experimental technologies are generating increasingly massive and complex genomic da...
Protein microarrays are versatile tools for high throughput study of the human proteome, but systema...
In this paper, we discuss data sets that are being generated by microarray technology, which makes i...
Revolutionary improvements in high-throughput technologies, also called 'omics' technologies, enable...
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC intro...
Background: There has been a dramatic increase in the amount of quantitative data derived from the m...
The amount of biological data, generated with (single cell) omics technologies, is rapidly increasin...
BackgroundApplication of microarrays in omics technologies enables quantification of many biomolecul...
Application of microarrays in omics technologies enables quantification of many biomolecules simulta...
Abstract Background Application of microarrays in omi...
Background: Microarray data analysis presents a significant challenge to researchers who are unable ...
Background In the past decade, RNA sequencing and mass spectrometry based quantitative approaches ar...
High-throughput technologies are now widely used in the life sciences field and are producing ever-i...
We have implemented a self-contained package for DNA microarray analysis in R. The package is named ...
International audienceBACKGROUND: The increasing number of methodologies and tools currently availab...
High-throughput experimental technologies are generating increasingly massive and complex genomic da...
Protein microarrays are versatile tools for high throughput study of the human proteome, but systema...
In this paper, we discuss data sets that are being generated by microarray technology, which makes i...
Revolutionary improvements in high-throughput technologies, also called 'omics' technologies, enable...
Quality control (QC) is crucial for any scientific method producing data. Applying adequate QC intro...
Background: There has been a dramatic increase in the amount of quantitative data derived from the m...
The amount of biological data, generated with (single cell) omics technologies, is rapidly increasin...