Bioinformatician & data scientist
Hi all, since I posted an answer on Biostars about how to access the raw RNA-Seq GTEx data (The Genotype-Tissue Expression Consortium), I have fielded questions from researchers at many institutions asking for more information. Disclaimer, I am not part of the Sequence Read Archive staff or the National Library of Medicine. But I seem... Continue Reading →
TIME-COURSE SINGLE-CELL TRANSCRIPTOMIC ANALYSIS OF CONTROLLED NEURAL CONVERSION OF HUMAN IPS CELLS P.H. Chu1, C. Malley1, J. Braisted1, C. Tristan1, R. Bargaje1, and I. Singeç1 1National Center for Advancing Translational Sciences (NCATS), Stem Cell Translation Laboratory (SCTL), Rockville, MD Presented at the National Institutes of Health Molecular Biology in Single Cells Symposium, March 23-24 2018,... Continue Reading →
One of the common complaints I hear about R as a data analysis language is its relatively slow speed, compared to the C at its foundation or other, lower-level programming languages (C family, java, fortran). For-loops can be incredibly slow! They do get the job done eventually, serially (one task at a time), instead of... Continue Reading →
Featured image: "Midnight," digital art I made in 2014. Moiré exclusion patterns are created from layering multiple photographs of a LCD screen. Bands of solid color are from certain non-proportionally stretched layers in the vertical direction. Hi all! It's been a hot minute since I updated here. A lot of big events have happened, ranging... Continue Reading →
I have a conference coming up in two weeks, the American Society of Human Genetics (ASHG), where I will be presenting a technical poster in the bioinformatics section. The code behind the graphs will be on my github here. For this post I'd like to focus on my ggplot code rather than the science, so... Continue Reading →
