How to best detect disease and cancer driver-genes using the novel HotNet2 algorithm
1 in 2 people will be diagnosed with cancer during their lifetime, regardless of gender. Take a moment to process that.
Genome-wide association studies (GWAS) have gained traction since the mid 2000s, with over 7,800 GWAS studies performed which have facilitated the detection of over 159,200 unique ‘needles’ – SNP-trait associations, all archived in EMBL-EBI’s GWAS Catalogue.
All humans are 99% genetically identical. Yet the 1% difference hidden within our genomes is enough to inform us about our origins. Ancestry analysis has undeniably become the #1 genetic analysis performed throughout in the world.
The advent and refinement of visualisation tools has allowed scientists of all programming levels to unearth the valuable insights that lie in these complex file types, which can consist of thousands to billions of data points. One such tool is the Integrative Genomics Viewer (IGV), a high-performance visualisation tool for the interactive exploration of large genomic files.
Unless you have been living under a rock, you should be well aware that consumer genetics are booming and that the number of direct-to-consumer (DTC) offering genetic testing services is exploding.
The commoditised genotyping array market has generated increased interest with various large direct-to-consumer (DTC) genotyping companies in the market, including 23andme, AncestryDNA, DNAFit and MyHeritage. Contrary to whole genome sequencing, genotyping arrays are cheaper and provide the economy of scale for mass adoption at a consumer level.
In this blog post, we will show you how it is possible to run any of the stable release nf-core pipelines with ease over the Cloud by using the Deploit platform. We have used the RNA-seq pipeline as an example because it is the most popular of all the nf-core pipelines. The following can also be done for any of the nf-core pipelines.
The democratisation of Next Generation Sequencing technologies has made omics data more available than ever before. Bioinformaticians are now confronted with tackling the NGS data deluge in order to deliver actionable insights. Transforming raw data into impactful insights requires bioinformaticians to process omics data with bioinformatics pipelines. To date, however, no validated standards have been widely established by the bioinformatics community.