A fully automated cloud platform to detect Structural Variants and other complex types of variation 

Go from DNA extraction to curated VCFs with minimal hands-on time

 
 

A simple-to-use and reliable cloud platform to detect complex traits

  • Identification and fine mapping of structural variants

  • Large and small INDELs

  • Copy number variations

  • Pseudogene discrimination

  • Tandem Repeat Sequencing

  • Resolving allele phasing

How does it work?

1

Send us your sample or upload your long-read NGS raw data

2

Manage your databases and launch your variant calling analyses

3

Query and download your data

 

SQG Workflow

Organize  your raw sequencing data in biosamples and databases

Launch  a variant calling job on one or multiple genes on any biosample or database

Query the output to look for variants of interest

Database_1

        Biosample_1

                raw_reads.bam.1

                raw_reads.bam.2

        Biosample_2

                raw_reads.bam.1

Database_2

        Biosample_1

                raw_reads.bam.1

        Biosample_2

                raw_reads.bam.1

                raw_reads.bam.2

Database_3

        Biosample_1

                raw_reads.bam.1

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Why SQG platform?

$

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Lower long-read sequencing cost

 

SQG platform implements proprietary algorithms that reduce the amount of sequencing data needed to achieve accurate variant calling

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Shorten discovery cycles

 

By needing less sequencing data and fully automating data analysis, increase your multiplex design and reduce sequencing and data analysis time

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Increase

productivity

 

Using SQG platform, the reduction in cost and time translate into more genomes getting sequenced. Sequence more long-read genomes, faster and cheaper.

Our core technology

High-pass long-read NGS

Low-pass long-read NGS

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S E Q U E G E N I C S

algorithms

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Long-read NGS normally requires expensive amounts of data to produce accurate variant calling

Our proprietary algorithms achieve effective error correction at much lower sequencing coverage, therefore cutting off a significant proportion of the sequencing cost while achieving highly accurate variant calling