Bioinformatics
Artificial Intelligence in Bioinformatics
This article covers the core families of AI methods, their concrete use in transcriptomics, proteomics and integrative omics
Bioinformatics
This article covers the core families of AI methods, their concrete use in transcriptomics, proteomics and integrative omics
Bioinformatics
This article follows the full arc of an RNA-seq project: what the technology is, what it can reveal, how to design a study that will actually answer your question, how to interpret the results, and where the field is heading.
Metagenomics
Bioinformatics pipelines are increasingly used to conduct metagenomics analyses. In many cases, you will need bioinformatics skills, computing resources, and an understanding of existing analytical processes. Guidelines for each pipeline include configuration profiles, reference databases, and recommended analytical steps. In the absence of a formal evaluation, selecting a pipeline and
Bioinformatics
DeSeq2 is a popular R package for analyzing RNA-seq count data. It can be used to identify differentially expressed genes between two or more experimental groups. In this tutorial, I’ll walk you through the basic steps of using DeSeq2 to perform a differential expression analysis. Install Before we begin,
Bioinformatics
Metagenomics is a field of study that involves the analysis of the genetic material of a community of microorganisms. This can be done through the use of high-throughput sequencing technologies, which allow researchers to identify and quantify the various species present in a sample. In recent years, metagenomics has become
Bioinformatics
There’s a snake in my boot Life-sciences are nowadays conducted in multi-disciplinary and multi-centric studies. In this context, the same software components must be deployed in multiple environments most of the time resulting in reproducibility and scalability issues. Besides, data analysis pipelines are usually composed of multiple components, continuously