Tag Archives: Data integration

Omics-profiling is a collection of increasingly prominent approaches that result in large-scale biological datasets, for instance capturing an organism’s behavior and response in an...

Exploring cellular responses to stimuli using extensive gene expression profiles has become a routine procedure performed on a daily basis. Raw and processed data from these studies are available on public databases but the opportunity to fully...

One commonly performed bioinformatics task is to infer functional regulation of transcription factors by observing differential expression under a knockout, and integrating DNA binding information of that...

There is a strict interplay between metabolic networks and transcriptional regulation in bacteria; indeed, the transcriptome regulation, affecting the...

In the last years, applications based on massively parallelized RNA sequencing (RNA-seq) have become valuable approaches for studying non-model species, e.g., without a fully sequenced genome. RNA-seq is a useful tool for detecting novel transcripts and genetic variations and for ...

A practical webinar highlighting genetic data integration approaches featuring Dr. Tuuli Lappalainen. Explore the power of genome and transcriptome data integration, expand your understanding of genetic variants, and map future research applications. In this video you will learn how: Combining ...

RNA sequencing (RNA-Seq) and mass spectrometry-based shotgun proteomics are powerful high-throughput technologies for identifying and quantifying RNA transcripts and proteins respectively. With the increasing affordability of these technologies, many projects have started to apply both to the same samples to ...