By accepting raw FASTQ sequence data as well as processed counts data, ROSALIND enables powerful downstream analysis and truly insightful visualizations of gene expression datasets. Seamlessly sift and sort through differentially expressed genes. Investigate top pathways, change cut-offs and validate gene signatures.
ROSALIND users can experiment with different cut-off values to update plots and explore updated interpretation of enriched genes. Set filter parameters for up-regulation, down-regulation and p-value. Customize plots & download publication-ready figures with clear explanations for every Scientist.
Create, collaborate and update gene lists so that you can discover and focus on the most important signatures across oceans of data. Each plot dynamically updates when a new list is selected.
ROSALIND Knowledge Bases provide interpretation based on gene enrichment for each filter you create. Navigate the details of every term including Pathways, Gene Ontology, Proteins and many others. Experience pathway diagrams with detailed descriptions, annotated fold change colors, and gene heatmaps. Interact with the pathway diagram to see corresponding genes and access external references through the pathway magnifier.
Interested in Using ROSALIND to Analyze RNA-Seq Data?
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