Genomics

Get sequencing data to bioinformatics with its sample context intact.

Build your genomics Digital Brain with Scispot. Automate metadata checks and data handoffs across sample preparation, sequencing, and bioinformatics so teams spend less time reconciling files and retain source context.
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Explore LabOS

Trusted by 200+ life science labs

Supporting 250+ instrument types, more than 1,000 experiments each month, and millions of samples across diagnostics, genomics, biotech, and regulated testing.

Your best fit

Built for genomics teams reconnecting sample context between preparation and analysis.

Connect sequencing cores, research labs, and clinical genomics workflows within their intended scope. Start with a library, pool, or analysis handoff that still needs spreadsheet reconciliation.

Map your sequencing handoff
Features

Published Customer Outcomes

From sample metadata to reviewable sequencing outputs.

50%

Less data-processing time

Halved imaging and sequencing processing in one organoid workflow.

90%

Less manual data processing

Automated genomic and imaging data processing for cancer researchers.

40%

Fewer manual data errors

Reduced manual errors in one computational biology lab.

Lower costs

Lower reagent costs

Cut annual reagent costs for a genomics-testing lab.

One system, three layers

A Digital Brain for sample context through sequencing and analysis.

Prepare libraries with shared identities

Carry specimen and extract IDs into library preparation. Record methods, reagent lots, indexes, and QC once; preserve parent-child relationships across multiple extracts or libraries.

Prepare worklists from shared records. Check required identifiers and preparation fields, then route gaps to an owner before pooling so downstream teams receive complete context.

Reconcile pools and sequencing runs

Prepare agreed sample sheets from recorded library and pool membership. Check fields and assignments; GLUE connects supported run records, sequence-file manifests, and QC outputs.

Route incomplete imports and QC exceptions with affected libraries. Retain original sources for failed preparations and resequencing requests, showing staff which outputs need more work.

Deliver datasets with sample context

Assemble file references, sample metadata, preparation methods, and reviewed QC for bioinformatics. Deliver through configured exports or APIs after required checks and review.

Attach returned outputs and analysis references to original sample histories. Analysts can distinguish first analyses from reprocessing and see the evidence behind each change.

One connected operating layer

A sequencing handoff needs more than a folder of files.

Scispot checks and carries metadata through libraries, pools, and sequence outputs so bioinformatics teams receive a defined dataset with its review decisions.

Ask what is missing
before sequencing data moves to analysis.

Find the sample, run, and decision behind the handoff.

Meet Scibot
Scibot, the Scispot AI coworker
Which pool contains library LBR-041?
Find samples awaiting library QC review
Show libraries assigned to run GN-R076
Which outputs lack required sample metadata?
Trace this dataset to its preparation batch
Draft a handoff summary for run GN-R076
Which pool contains library LBR-041?
Find samples awaiting library QC review
Show libraries assigned to run GN-R076
Which outputs lack required sample metadata?
Trace this dataset to its preparation batch
Draft a handoff summary for run GN-R076
AI-native lab transformation

Less reconstruction between preparation, sequencing, and bioinformatics.

Sample Context Captured Once

Carry specimen, extract, library, and pool relationships through work queues. Consistent identities and required-field checks let the next team prepare work without rebuilding tracking sheets.

Sequencing Data With Clear Exceptions

GLUE connects supported preparation records, sample sheets, manifests, and QC outputs. Apply agreed mappings, flag incomplete imports, and retain each handoff’s source records.

Prepared Bioinformatics Handoffs

Assemble metadata, file references, and reviewed QC in the receiving team’s agreed format. Link returned analysis outputs so reprocessing stays distinct from original results.

Bench Workflows With Expert Delivery

Jazz gives preparation and review teams focused screens on shared Scispot data. Our scientists and engineers configure mappings, test pooling and rework, and train users.

Remove repeat data work from the sequencing workflow.

01

Library Preparation and Pool Assembly

Prepare pools and sample sheets from shared library data.

Carry sample, extract, method, and index records into preparation. Capture QC and keep separate identities for multiple libraries from one specimen. Use pool membership to prepare the agreed sequencing handoff.

Check required fields and assignments before submission. Staff review exceptions with preparation history available, giving the next team the intended pool and its source relationships.

Explore library and pooling workflows

02

Sequencing QC and Rework

Route run issues without rebuilding the affected sample list.

Map supported run and sample-level QC outputs to pools, libraries, and source specimens. Prepare an exception queue with the evidence reviewers need to decide which outputs may proceed.

Record reasons and scope for resequencing or repeated preparation. Route approved rework while retaining the original run and decision, so scientists can explain delays and compare later results.

Explore sequencing QC workflows

03

Wet Lab to Bioinformatics Handoffs

Deliver files, metadata, and QC decisions together.

Assemble a manifest with sample metadata, methods, run references, and reviewed QC. Check agreed handoff fields and assign missing information before analysis begins.

Pass the approved package into existing tools through configured exports or APIs. Attach returned processing references and outputs to their inputs, preserving earlier analyses and their context.

Explore sequencing data handoffs

Start with the sequencing handoff your team keeps rebuilding.

Bring a preparation record, sample sheet, and sequencing output. Our scientists and engineers will scope and test a handoff, tracking missing metadata or reconciliation time with staff feedback.
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FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

FAIR data • pipelines • automation

Instruments • ELN/LIMS/SDMS • 200+ connectors

Software platforms manage tools. We manage outcomes.

Frequently asked questions

What is a genomics LIMS, and where does Scispot fit?

A genomics LIMS manages samples and operational records around genomic research or testing. Scispot’s Digital Brain connects existing tools and automates handoffs from intake and library preparation through sequencing and analysis. Use native capabilities where needed, configured around your methods, data requirements, and review responsibilities.

Can Scispot connect our sequencers and library-preparation tools?

GLUE connects supported interfaces, exports, and related software. Scope includes sample-sheet formats, library and pool mappings, sequence-file locations, and QC outputs. Our team tests representative, incomplete, and conflicting records. Compatibility depends on instrument software, available interfaces, and the direction of exchange your workflow requires.

Does Scispot replace alignment, variant calling, or other bioinformatics tools?

Keep alignment, variant calling, and other analysis tools. Scispot supplies agreed inputs and metadata through supported connections and records returned run references and outputs. Computational Bio covers analysis context and reuse. Your scientists choose methods, test or validate pipelines for intended use, and interpret results; access and exports follow the receiving workflow’s needs.

How can we start without moving all historical sequencing data?

Start with one current workflow. Our scientists and engineers map specimen, extract, library, pool, and run IDs, then agree which files stay in existing storage and which records move. Test normal runs, missing metadata, and rework; train users and measure sample-sheet corrections or reconciliation before expanding.

Can Scispot support research and clinical genomics workflows?

Yes, within the intended-use scope. Scispot provides permissions, audit history, signatures, and source-linked evidence; Trust Vault supports the quality record. Research teams may prioritize consistent handoffs, while clinical workflows require defined procedures and authorized review. Your organization owns validation requirements, clinical interpretation, laboratory obligations, and final approval.

Scispot supports controlled access, record history, source links, and review evidence. Your organization owns permitted genomic-data use, method suitability, required validation, clinical interpretation, and authorized reporting.