Our Tools
Tapestri Designer
Design your own custom panel, targeting SNVs and CNVs, or gene editing targets to fit the needs of your experiments.
Tapestri Pipeline
Process fastq files generated from Tapestri Libraries to generate meaningful reports and single-cell output lines.
Mosaic
Parse Tapestri Pipeline generated h5 files to generate more customizable outputs from your data.
Web-based panel design built on an optimized algorithm for our chemistry.
Tapestri Designer makes it simple to build a panel for any single-cell DNA and RNA experiment — from a focused 50-target hotspot panel to a 1,000-amplicon discovery panel.
Capabilities:
- Design custom panels from 1 to 1,000 amplicons
- Target SNPs, on- and off-target edits and copy number variants
- Submit your own target list, or select from the Mission Bio catalog offerings
- Design panels for human, mouse, or any custom reference genome
- Review coverage summaries and in silico QC metrics before ordering
Cloud-based secondary analysis — from FASTQ to single-cell output, with no local infrastructure required.
Tapestri Pipeline is Mission Bio's cloud-based bioinformatics software that processes sequencing data generated from the Tapestri platform. Upload FASTQ files, and the pipeline returns a complete run QC report alongside single-cell output files (.h5, VCF, and HTML reports) ready for downstream interpretation.
Capabilities:
- Import FASTQ files from local computer, Amazon S3, or Illumina BaseSpace
- Process bulk samples to generate genotype demultiplexing files
- Demultiplex up to 3 samples per run using genotype-based or antibody-hashing approaches
- Process DNA only or DNA + Protein data
- Generate .h5 files for downstream use in Mosaic, VCF files and BAM files
Output: An automated interactive QC report with summary performance metrics and single-cell output files
Automated analysis combining secondary and tertiary processing into a single step, generating easy-to-interpret reports. No bioinformatics expertise required.
Clonal Insights
A fully automated solution for resolving clonal architecture in heterogeneous samples — combining DNA variant calling, surface protein signatures, and (now) gene expression. Ideal for detecting rare leukemic clones based on pathogenic mutations that can predict disease state and progression.
Now available with DNA + RNA support for integrated genotype, immunophenotype, and gene expression at single-cell resolution.
Capabilities:
- Genotype-based sample demultiplexing (up to 3 samples)
- Known and de novo variant calling
- Gene expression profiling (DNA + RNA)
- Clone and phylogeny construction
- Per-clone variant lists and protein signatures
- Time course analysis with fish plots and side-by-side clone comparison
Output: A comprehensive, automated report including clonal summaries, detailed variant calls, protein signatures, phylogenetic trees, and longitudinal clone evolution.
[See sample data →]
Single-cell characterization of on- and off-target editing.
Bulk sequencing mixes DNA across cells, so a 50% VAF could mean half the cells were perfectly edited — or that every cell was imperfectly edited. The Genome Editing Pipeline resolves the difference at the single-cell level, capturing the full spectrum of editing outcomes including rare and off-target events.
Capabilities:
- Distinguish mono-allelic and bi-allelic edits in every cell
- Quantify intended edits, predicted off-targets, and their co-occurrence within the same cell
- Capture rare events including predicted translocations between on- and off-target sites
- Correlate specific edits with functional surface protein loss in the same cell
- Works with knockout (NHEJ) and base editing
Output: A comprehensive, automated report covering top on- and off-target edits, top edit combinations, zygosity, and predicted translocations.
Genome-wide CNV measurement at single-cell resolution.
Designed for cell and gene therapy product characterization, oncology research, and any application where chromosomal stability matters. Use with the catalog Genome-Wide CNV panel or your own custom design.
Capabilities:
- Genome-wide coverage with our 500-amplicon catalog panel, ~5.8 Mb average spacing across nearly the entire genome
- 5–15 Mb resolution, comparable to G-banding
- Genome-wide CNV alongside custom targets such as genome edits, SNVs, or focal CNVs in the same assay
- Combine CNV with cell-surface protein markers (DNA + Protein)
- Software defines clones by CNV aberrations and quantifies clonal heterogeneity across the genome
Output: An automated and comprehensive report with insights into focal and large CNVs across the whole genome.
Rare clone detection optimized for plasma cell neoplasms.
Purpose-built for the heterogeneity of Multiple Myeloma, MGUS, and SMM samples — where rare pathogenic clones drive progression and relapse. This pipeline generates our most comprehensive report including variant, VDJ, CNV and protein analysis. Use with our catalog Multiple Myeloma panel or your own custom design.
Capabilities:
- Genotype-based sample demultiplexing (up to 3 samples)
- Known and de novo variant calling
- Clone and phylogeny construction
- Per clone variant lists and protein signatures
- VDJ clonotyping
- Copy number analysis across the entire panel
- Time course analysis with fish plots and side-by-side clone metric comparison
Output: Automated, easy-to-interpret reports with clonal insights, VDJ clonotyping, protein signatures, copy number estimation, phylogenetic trees, and longitudinal clone evolution.
Mosaic: A Python Library for Single-Cell Multi-omic Analysis
Python tools for advanced single-cell multi-omic analysis and cohort-scale research.
Mosaic is Mission Bio's Python library for analyzing and visualizing Tapestri data. Designed for bioinformatics scientists and computational biologists who need flexibility beyond the automated reports — including custom workflows, novel visualizations, and large-scale cohort analyses. Use with any of our curated jupyter notebooks, or run your own custom analysis.
What Mosaic enables:
- Deep, programmatic exploration of DNA, CNV, RNA, and protein data
- Generate publication-ready UMAP plots, heatmaps, fish plots, phylogenies, and more
- Run cohort analysis to aggregate and compare data across hundreds of samples to identify clinical trends, clonal evolution across patient populations and time points
- Run as Python scripts or interactively via Jupyter notebooks
Inputs: .h5 files generated by the Tapestri Pipeline.
Access: Available on GitHub — free to use, modify, and extend for Tapestri data analysis.
Explore Mosaic on GitHub → | Mosaic Support Center →
Tapestri Pipeline is Mission Bio's cloud-based bioinformatics software. It takes FASTQ files generated from Tapestri sequencing runs and produces a QC report plus single-cell output files (.h5, VCF, HTML), ready for downstream interpretation in Mosaic or Mission Bio's application-specific pipelines.
No. The standard Tapestri Pipelines and Application-Specific Pipelines (Clonal Insights, Genome Editing, Genome Integrity, Multiple Myeloma) are fully automated and produce easy-to-interpret reports. Mosaic is an option for users who want custom, programmatic analysis with Python.
Tapestri Designer and Tapestri Pipeline are cloud-hosted via the Mission Bio Portal. Mosaic is a Python library that runs locally or in cloud notebooks (e.g., Google Colab). All Pipeline offerings are available for on-premise installation.
Yes. Tapestri Pipeline supports DNA, DNA + Protein, and DNA + RNA workflows. Application-specific pipelines like Clonal Insights and Genome Editing also support multi-omic readouts.
Mosaic is Mission Bio's Python library for analyzing and visualizing Tapestri single-cell multi-omic data. It supports DNA, CNV, RNA, and protein analysis, generates publication-ready visualizations, and enables cohort-scale studies across hundreds of samples and time points.
Get Started
Ready to design a panel, process a run, or explore your data?
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For Research Use Only. Not for use in diagnostic procedures.
