A Boy And His Atom: The World’s Smallest Movie

Moving atoms For some reason a paper copy of “Chemical and Engineering News” (November 11, 2019 – Vol 97 Issue 44) ended up in my hands, and I almost missed this fun section named: “30 years of moving atoms: How scanning probe microscopes revolutionized nanoscience” (link.) The article is progressing over time from 1993 til… Read More »

STAR index for human genome – overcoming the hardware barriers

Recently I was testing a Docker image to run a container for Next Gen sequencing, a way to test an existing “pipeline” on the first published study of the effect of the Zika virus. (https://hub.docker.com/r/maayanlab/zika/) Running a docker container may provide some ease in reproducibility, but sometimes there are also hardware barrier that need to… Read More »

Down-sampling FASTQ.gz paired ends

Downsampling I have performed a search for creating a set of down-sampled data from an actual  large dataset, and while there are many creative information on BioStar and other forums, I find that the most versatile and easy to use tool would be one recommended on the forums: seqtk which is available on Github: github.com/lh3/seqtk  Quoting… Read More »

Hunting for SRA sequence archives

SRA: Sequence Read Archive The Sequence Read Archive (SRA) makes biological sequence data available to the research community to enhance reproducibility and allow for new discoveries by comparing data sets. The SRA stores raw sequencing data and alignment information from high-throughput sequencing platforms, […] However, it is rather difficult to even find the download links… and even… Read More »

Enterotypes-2018

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 »

Review on Deep Learning in Biology and Medicine

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 »