RT-qPCR Data Analysis: Heatmap and Statistical Testing
A basic workflow for analyzing RT-qPCR data by combining statistical testing, heatmap visualization, and hierarchical clustering analysis.
Comprehensive web-based toolkit for life science and related technologies (Mass-informatics, Chemoinformatics, Bioinformatics).
One click, One function, One result
BioChemCalc (BCC) is a scientific abacus for the pocket of every wet-lab biologist.
BioChemCalc(BCC) is a web-based tool for essential calculations and checks in everyday life science research. BCC Magazine shares practical uses of BCC and useful research insights to support open and independent science.
A basic workflow for analyzing RT-qPCR data by combining statistical testing, heatmap visualization, and hierarchical clustering analysis.
Why converting SMILES into molecular formulas, InChIKeys, and element counts helps with standardization, filtering, validation, and batch preprocessing.
An overview of BCC’s two HeatMap-related tools, their functions, practical uses, and the types of research workflows they support.
How SIC began as an attempt to expand the chemoinformatics side of BCC, and gradually took shape through design choices, thought experiments, and a journey across Shikoku.
Conventional molecular fingerprints often struggle to distinguish subtle structural differences among isomers.SIC was developed to explicitly quantify cumulative substructural differences while minimizing the influence of dataset size and molecular weight.
A practical introduction to BioChemCalc, a free web-based toolbox for experimental biologists in molecular biology, biochemistry, and genetics.