This is the birth of a new official category within DNA.today, with this exact name – “AI In Biology”. Since this topic is the elephant in the room, and the related posts were squeezing into other categories, following the pressure of the overall excitement related to this new era and its transformational effect on studies… Read More »
The recent update on enterotypes1 was an important read. Yes, we desperately need to reduce the dimensionality of the gut microbiome data and discover the stable “archetypes” of the microbiome functional states. The concept of genera-based enterotypes is a step in this direction. However, one may feel a “sense of fragility” while reading the 2017… Read More »
Deep neural networks are everywhere. They are revolutionizing our day-to-day lives, and this phenomenon no longer needs any introduction or description. Deep learning is especially suitable to find structures in overwhelming amounts of data. Recently, biological data became exactly that – overwhelming, and application of deep learning toolsets to it indeed looks very natural. You… Read More »
This recent paper deals with the “space of infinite possibilities” of ChIP-Seq data analysis, focusing on challenges of differential binding analysis. They have underlined multiple challenges in this area (Introduction, page 2) and compared 14 software packages, using both real-world and simulated datasets. The observed differences between the results obtained with different methods were not… Read More »
Last week PNAS has published something which would apparently contribute to future textbooks: Mobile small RNAs regulate genome-wide DNA methylation. You think that cutting / physical joining of different plants (grafting) will leave their genomes unaffected, right? Think twice! Authors show that mobile RNA travels between the two species and regulate methylation level of thousands… Read More »