CosmosID-HUB
Core Functionalities
Flexible Raw Data Upload
Upload single- or paired-end FASTQ files by drag-and-drop functionality and BaseSpace integration.
Create your Microbiome Databank
Describe your samples using centralized metadata variables that can enable cohort comparisons and cross-study analysis
Archived and Encrypted Storage Hub
For raw fastqs, profilng results, and metadata
Import Public Datasets
Seamless importing of sequencing data from NCBI’s Sequence Read Archive (SRA) to enable meta-analysis of published data or to revisit your past projects
Remove Host Interference
With automated removal of host reads from raw sequencing reads
Precision Filters for Confidence
Advanced machine learning filters for differentiating signal from noise, as demonstrated in various third-party challenges, meaning that the results are less impacted by false positives.
Suite of Comparative Analysis Tools
Compare diversity, abundance, and more between sample cohorts with statistics and interactive/exportable charts and visualizations
Save time
With pipelines up to 19x faster than open-source tools and automated figures and statistics
1. Unrivalled Bioinformatics Pipelines
Achieve unparalleled insight in microbiome exploration with high resolution, multi-kingdom and functional profiling. Bioinformatics pipelines hosted in the HUB have been validated and benchmarked to deliver the highest levels of recall & precision, in a matter of minutes. Read more about this here.
2. Centralized Data Storage
CosmosID-HUB provides easy upload and centralized storage of raw sequencing data, profiling results and your study metadata, all in one place. From there, you can leverage your metadata to run comparative analyses in just a few clicks.
3. Comparative Analysis Suite
Leverage your metadata to create ad-hoc comparative analyses with any of of the 10+ databases we have available to:
– Look for specific taxa or genes using the matrix table search function
– Monitor the abundance distribution of specific taxa or pathways
– Observe trends across your cohorts and time points with high-resolution heatmaps and stacked bar charts
– Investigate PCA, Alpha & Beta diversity plots in 2D and 3D
– Test for significance and generate P values for all analyses
– Run differential abundance analysis testing