Exploratory Data Analysis
Perform comprehensive exploratory data analysis (EDA) on your datasets to uncover patterns, spot anomalies, and test hypotheses using interactive visualizations and statistical summaries.
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Our Tools
A growing suite of bioinformatics tools designed to tackle the most challenging problems in computational biology.
- 01
Analyze scRNA-seq data to convert them into cellular metabolic profiles using the COMPASS algorithm.
scRNA-seqMetabolismFBACOMPASS - 02
Automate sequencing quality control and preprocessing with a modular, user-friendly platform supporting Illumina, PacBio, and Oxford Nanopore data.
QCPreprocessingIlluminaPacBioONT - 03
Exploratory Data Analysis
Coming SoonPerform comprehensive exploratory data analysis (EDA) on your datasets to uncover patterns, spot anomalies, and test hypotheses using interactive visualizations and statistical summaries.
VisualizationQCStatisticsInteractive