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BIOINFORMATICS SIMPLIFIED

Intelligent Design For Genomics Applications

Stanome - Vision and Mission ● Stanome is an enterprise cloud bioinformatics solutions company offering a turn-key, cost-effective cloud computing platform for genomics applications and analysis ● Democratize genomics applications development with a one-stop solution for data storage, security, provenance, and reproducible data analysis ● Bioinformatics data analysis and applications platform • Empowering scientists through driving innovation • Accelerate genomics research and reduce the time it takes to make life-changing discoveries • Generate more value out of genomics data

BIOINFORMATICS SIMPLIFIED

A Platform With Intelligent Design For Increasing Productivity Provide free data quality report for every sample. Final reports are comprehensive and readily publishable

Project setup to pipeline execution in less than five minutes

Secure Data Sharing

Reproducible and accurate results with comparative analytics from multiple pipelines

Differentiates and pairs Single End (SE) and Paired End (PE) sequencing data files, selects commands and sends status updates

Application Development

Cloud-based web application

Data Visualization

Faster Data Upload

Based on project setup, genome, transcriptome and annotation files are automatically selected

Data Analysis

Execute pipelines for any organism through custom reference(s) and indexing without user intervention BIOINFORMATICS SIMPLIFIED

Built on AWS Cloud Capabilities Serverless architecture scales computing resources on demand, hence no need to wait in the queue

Pay only for what you use without minimum mandatory service usage

Automatic re-executions of the pipeline

Optimized Costs

Cloud Failure Detection

Serverless Computing & Auto Scaling

VMs are selected based on the tool - helps to optimize the costs Dynamic VM Selection

Multi Tenancy

Data segregation with private virtual cloud and group sharing BIOINFORMATICS SIMPLIFIED

Creating Value @ Each Step of Platform Usage





We offer a simple end-to-end workflow in five easy steps, which takes less than five minutes of hands-on time. Automation behind each step lets users interact with the platform effortlessly.

Data Upload

• Upload samples to DataStore only once • Custom references are allowed • Hassle free sample pairing

Project Creation

• Create a project and define the objectives using drop-down menus • No confusion of selecting any other file(s)

Sample Inclusion

• Select samples from Data Store • The platform provides guidance to minimize errors in sample selection

Pipeline Selection

• Select pipelines based on data type and analysis requirements • Utilize pre-built pipelines or create de novo • No command editing for Single End and Paired End samples

Execution

• Execute pipelines with one click • Receive email notifications of job progress and status • Final report and ALL intermediate files are readily available BIOINFORMATICS SIMPLIFIED

Faster Upload and Analysis Timelines Platform

Upload time ( 3 GB compressed files)

Stanome

16 min

Basepair Tech

3 hrs.

Galaxy

20 min

Onramp

40 min

Less than FIVE minutes of hands-on time Project Setup

Sample Set

Select Pipeline

Execution & Monitor

One hour sample-to-results time* * Based on a eight sample Paired End (PE) RNA-seq data ( ~ 80GB raw data) BIOINFORMATICS SIMPLIFIED

Pipelines are Organized Into Hubs

TranscriptHubTM

MicroHubTM

VariantHubTM

• Differential Gene Expression • Fusion, Splice Junctions and Transcript Isoform Identification • De novo Transcriptome Assembly • Pathway Analysis • Functional Annotation and Gene Ontology • Variant Analysis • Prime Pipelines

• Assembly and non-assembly methods of microbial detection • Amplicon (e.g., 16S) Analysis • Shotgun DNA Analysis • Shotgun RNA Analysis • Comparative Genomics and Phylogenetic Analysis • Taxon Assignment • Genome Assembly and Annotation • Antibiotic Resistance Screening

• Genome Quality Analysis • Reference Genome Assembly • De novo Variant Detection (SNPs, INDELs, and Structural Variants) • Case-Control Variant Studies • Family and Cohort Analysis for Personalized Medicine • Genotyping-by-Sequencing (GBS) • Variant Interpretation and Prioritization

SoftwareHubTM

Prebuilt Pipelines Custom Pipeline Design High Throughput Analysis Cloud Computing Platform-as-a-Service (PaaS) • Software-as-a-Service (SaaS) • • • • •

BIOINFORMATICS SIMPLIFIED

Sample Pipeline for Genotyping Application Dynamic Data Upload

Data Cleanup and Quality Report

Automatic Analysis (Mapping & Calling)

Report Genotypes

• Direct data upload from the sequencer to the cloud without human intervention • Provide frequent updates on the upload progress

• Sample demultiplexing, cleaning, and pairing • Provide quality report for each sample

• No need of genome indexing • Mapping, variant calling, filtering, genotype calling for SNPs and INDELs • Industry best practices are implemented using tools such as BWA and GATK • • • •

Genotypes are reported in table formats and can be combined with metadata All intermediate analysis files are available for download Every tool, command and parameters are reported for data provenance Email notification after the analysis completion BIOINFORMATICS SIMPLIFIED

Stanome is Application Focused vs APIs Enablement

Stanome is built on analysis foundation to develop industry specific applications development

Personalized Treatments Gene expression for diagnostics Targeted sequencing for genotyping

Precision Medicine and Agriculture Transcriptomics Exome

Screening for microbial resistance

AMR

TranscriptHub and VariantHub

Hubs

Competitors are building bag of tools (APIs) for data analysis as final solution

Tool Kits APIs

BIOINFORMATICS SIMPLIFIED

Differentiating Feature and Value Proposition Platform Features

Stanome

SevenBridges

DNANexus

Basepairtech

Galaxy

Automatic pairing of samples

Yes

No

No

No

No

Dynamic reference indexing and auto-selection

Yes

No

No

No

Yes

Data-driven command selection

Yes

No

No

No

No

Prime pipelines*

Yes

No

No

No

No

Pipeline building

Convenient

Requires expertise

Requires expertise

Convenient

Requires expertise

Project setup & Pipeline execution

< 5 mins

Requires expertise

Requires expertise

Not possible

Requires expertise

Data upload

Very fast

Requires application installation

Fast

Slow

Fast

Multi-layered reporting**

Available Free Quality Report

Only FastQC report available on demand

Only FastQC report available on demand

Only analysis report available

No

Ease of use

Convenient

Requires expertise

Requires expertise

Convenient

Requires expertise

Pricing

Charges for analysis only; No data storage costs$

Cost for both, storage and pipeline run

Cost only for pipeline run and not for data storage

Cost for both, storage and pipeline run

Free but storage limited to 250GB

$ Data is deleted within a week from the analysis date BIOINFORMATICS SIMPLIFIED

Flexible Models

Model1 Model

1



Cloud - Platform-as-a-Service

Model Model2

2



Cloud - Software-as-a-Service (Per Sample)



Cloud - Software-as-a-Service (Fixed Cost)



On-Prem Solution

Model 3

Model Model4

4

BIOINFORMATICS SIMPLIFIED

Business plan and target customers Revenue Model

Research organizations

SAAS Model

PAAS Model

(At least 100% markup on the AWS costs)

(At least 25% markup on the AWS costs)

★ Per sample analysis charges ★ Custom analysis charges

★ B2B license fee ★ Platform usage (analysis) costs ★ Maintenance and support fee

Genomics solutions providers

Clinical trials Lorem and ipsum therapeutics

Target Lorem ipsum Customer congue Segment

Biotech. companies

Academic institutions

Sequencing service labs

Diagnostics companies Genotyping for agriculture

BIOINFORMATICS SIMPLIFIED

BIOINFORMATICS SIMPLIFIED

Platform

Dashboard Home Provides Platform Usage and Resource Consumption Details

RNA-seq data analysis standardization

BIOINFORMATICS SIMPLIFIED

Navigation Menus • Dashboard Menu – Access all platform features • Project Menu – Navigates within a project

BIOINFORMATICS SIMPLIFIED

Multiple Datatypes Can be Uploaded • Sequencing raw data, references, annotation and additional files are uploaded and stored separately

BIOINFORMATICS SIMPLIFIED

Projects Centric Analysis Setup • Projects are mini workspaces that segregate sample sets, pipelines, jobs, and reports • Allows for several sample subsets and multiple executions

Sample Set(s) My Pipeline(s) Job(s) Report(s)

BIOINFORMATICS SIMPLIFIED

Pipeline Library • Warehouse of all the pipelines • Pipelines are grouped into hubs • Copy the pipelines from the library into to a project

BIOINFORMATICS SIMPLIFIED

Pipeline Building Process • Tools are the fundamental structures of analysis; Each tool can execute multiple functions via commands • Commands are wired together to build customized genomics data analysis applications

Pipeline

Add Steps

Commands

Tools

Command Builder • Description • Details • Metadata

Edit default pipeline behavior • Predecessor dependency • Input override • Output override • Merging multiple samples

• • • •

Options Inputs Outputs Arguments

BIOINFORMATICS SIMPLIFIED

Pipeline Execution • Pipeline execution starts with initialization • Reference and annotation files are selected automatically • Execution setup is simple and intuitive - provide sample and condition information and CLICK

BIOINFORMATICS SIMPLIFIED

Jobs • Pipeline running status updates are available under jobs • SAMPLE DEEP-DIVE provides sample level notifications • All the intermediate files and commands are available for data provenance

BIOINFORMATICS SIMPLIFIED

Comprehensive Report View

BIOINFORMATICS SIMPLIFIED

Thank You Very Much for Your Interest

Visit Us

www.stanome.com

Contact Us

[email protected]

BIOINFORMATICS SIMPLIFIED