Publications associées à High throughput biology

DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies

Nicolas Jean Philippe Guex, Murielle Bochud, Cristian Carmeli, Aurélien Thomas, Tiziana Caputo

As a powerful phenotyping technology, metabolomics provides new opportunities in biomarker discovery through metabolome-wide association studies (MWAS) and the identification of metabolites having a regulatory effect in various biological processes. While ...

Nature Research2021

Studying the roundworm Caenorhabditis elegans using microfluidic chips

Martinus Gijs

C. elegans is an attractive model organism in biology, as it shows genetic similarity with humans, facilitates microscopic observation due to its transparency, and has a short life cycle. Moreover, many mutants expressing fluorescent proteins in particular ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Large-scale variational inference for Bayesian joint regression modelling of high-dimensional genetic data

Hélène Ruffieux

Genetic association studies have become increasingly important in understanding the molecular bases of complex human traits. The specific analysis of intermediate molecular traits, via quantitative trait locus (QTL) studies, has recently received much atte ...

EPFL2019

Nuclear Factor I genomic binding associates with chromatin boundaries

Giovanni Dietler, Giovanna Ambrosini, Philipp Bucher, Nicolas Mermod, Petar Pjanic, Jan Kerschgens, Armelle Gaussin

Background: The Nuclear Factor I (NFI) family of DNA binding proteins (also called CCAAT box transcription factors or CTF) is involved in both DNA replication and gene expression regulation. Using chromatin immuno-precipitation and high throughput sequenci ...

BioMed Central2013

Spot Identification and Quality Control in Cell-Based Microarrays

Michael Bauer, Blaise Calpe

Cell-based microarrays are being increasingly used as a tool for combinatorial and high throughput screening of cellular microenvironments. Analysis of microarrays requires several steps, including microarray imaging, identification of cell spots, quality ...

Amer Chemical Soc2012

Analysis of HIV-1 Expression Level and Sense of Transcription by High-Throughput Sequencing of the Infected Cell

Jacques Rougemont, Amalio Telenti

Next-generation sequencing offers an unprecedented opportunity to jointly analyze cellular and viral transcriptional activity without prerequisite knowledge of the nature of the transcripts. SupT1 cells were infected with a vesicular stomatitis virus G env ...

American Society for Microbiology2011

Prediction of Survival and Risk Assessment Using Joint Analysis of Microarray Gene Expression Data

Haleh Yasrebi

Gene expression profiles have been widely used in molecular classification, diagnosis and prediction, particularly in the area of oncology where accurate and early diagnosis is needed for appropriate treatment. Avoiding under-/over-treatment when it is not ...

EPFL2010

Protein-binding microarray technology and ChIP-sequencing for the identification of novel targets of the human tumor suppressor AP2[alpha]

Jan Kerschgens

The mis-regulation of gene transcription in the living cell can be the cause of complex human diseases like cancer. One challenge of the post-genomic era of biomedical research is the development of in vitro techniques for the rapid and cost-effective anal ...

EPFL2009