BioTuring's Blog

Data analysis made easy. For biologists, especially.

Category Archives: RNA-seq data analysis

November 22, 2021 By Minh-Hien Tran

Zooming in the intratumoral heterogeneity of liver cancer with BBrowser single cell database

intratumoral heterogeneity - liver cancer cell composition

Introduction Why are tumors so resilient against available cancer therapies? One answer lies in intratumoral heterogeneity. Intratumoral heterogeneity describes the diversity in tumor cell populations. Cancer cells exhibit startling distinctions in their types, shape, metabolic activities, transcriptomic profiles, and more. The causes of intratumoral heterogeneity are both heritable (clonal expansion […]

December 5, 2018 By biomembers

BioTuring Browser: the software to resolve major challenges in single-cell RNA-seq data analysis

RNA-seq data analysis, Single Cell Analysis

Single-cell RNA-seq technologies have opened up a completely new era for transcriptomic studies. For the first time ever, scientists can look at individual transcriptomic profiles of millions of cells, and better understand how each cell functions in a tissue. Yet science is confronting bigger challenges analyzing these massive amounts of […]

June 18, 2018 By Linh Ngo

How to read PCA biplots and scree plots

Data visualization and analysis, Principal component analysis, RNA-seq data analysis

Principal component analysis (PCA) has been gaining popularity as a tool to bring out strong patterns from complex biological datasets. We have answered the question “What is a PCA?” in this jargon-free blog post — check it out for a simple explanation of how PCA works. In a nutshell, PCA capture […]

June 14, 2018 By Linh Ngo

Principal component analysis explained simply

Data visualization and analysis, Principal component analysis, RNA-seq data analysis, Single Cell Analysis

As we are entering the era of Big Data, everyone and their moms seem to be talking about PCA. All the papers you read mention PCA (with lots of jargon, of course). Half of the seminars you’ve been to this month touch on PCA. Your boss/collaborators suggest trying PCA on your data. “What […]