A Unified Software for Microarray and NGS Data Analysis and Interpretation

1. iOMICS Research
A Unified Software for Microarray and NGS Data Analysis and Interpretation

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iOMICS: Omics Software Solution
Apps for every data (omics) type
Intuitive Analysis
Dynamic Visualization
Support proprietary and 3rd
party softwares and databases
Multi-omics Multi-scale data management, analysis, and interpretation software.
Developed for composite analysis needs and tested with numerous data
sets, this robust platform addresses the complexities of Life Sciences
“Big Data” for driving actionable insights with unprecedented ease.

3. RESTful
iOMICS
dbNSFP, dbSNP, Uniref100,
Uniprot, HumDiv, HumVar,
Ensemble, RefSeq, miRBase
KEGG, Interactome, etc
Annotated Variations
Enriched Pathways
Peaks and Motifs
Known and putative genes
Differential Gene Expression
Known and Putative miRNA
Potential Drug Targets
Phenotype-specific Biomarkers
Stratified Patient Groups
Off-target effects
App Store
DNA RNA ChIP miRNA
Exome MicroArray
Meta
Genome
Integrative
Biology
Ion Torrent, Illumina,
Affymetrics, Agilent
Phenotype
Modeling
iOMICS: High Level Architecture
FASTQ
CEL
SAM/BAM
CSV/TSV
VCF
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Drug Target
Identification
Patient
Stratification

4. iOMICS: Scalable, Customizable, Flexible
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Flexible and easy to use user interface (UI)
Raw data to results in three steps
– Create
– Analyze
– Visualize
Checkpoint and Re-start
Fast and efficient workflows to process hundred's of samples
Data store to manage high-through put data
Easy integration and customization of in-house, 3rd
party tools,
annotations, and databases
Cloud and On-premise versions

5. iOMICS Research : Applications for Data Analysis
Note: ** - iOMICS Research 4.0
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6. iOMICS 4.0: Significant Features
Indepth Pathway
Analysis
Multi-Omics Data
Integration
Advanced Biological
Filters
Sophisticated Network
Analysis
 High to low level visualization of all types of biological pathways based
on the experiment
 Visualization includes genes, proteins, metabolites, reactions and
complexes
 Integration of multi-omics datasets to simulate the genetic flow of
information associated with the phenotypes
 Powerful statistical tools such as Linear regression, Anova, LASSO etc
are used for integrative analysis
 User defined filters on all results for easier biological interpretation
 Built in biologically relevant filters for variant prioritization using
annotated information
 Complex network analysis such as clustering, shortest path, hubs and
topological proeprties of networks
 Helps to identify significant biomarkers from large networks
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7. iOMICS Research: v 4.0
New Apps
miRNA Expression : Expression analysis of small non-coding RNA
molecules and finding target genes for significantly expressed miRNAs.
Currently supports affymetrix and processed expression (Series Matrix)
format.
Gene Expression: Analysis of RNA molecule and to identify the significantly
expressed genes between the conditions. Significantly enriched genes are
further used for functional enrichment analysis.
ChIP on chip: To determine the DNA binding sites from the data generated
from microarray experiments.
RNA-Seq Denovo – Applications particularly for novel organisms
RAD-Seq – Reduced representtion sequencing for identification of marker
linked variations
Metagenome- 16srRNA and shot gun metagenome for species composition
and functional analysis.
QTL - To identify the loci which correlates with variation in a phenotype.
Integrative Biology - Integrative analysis of DNA-RNA, ChIP-RNA and
miRNA-RNA to find out the key components (DNA, ChIP and miRNA)
resulting in RNA change. This workflow requires cohort-wide results from
multiple molecular data.

8. iOMICS Research: v 4.0
Enhancements
BAM/SAM, VCF input support
Generate Exonic coverage, Target region coverage, % of exome enriched
and probe enriched statistics for each sample
Linkage annotation of variations that are closely related with dissemination
of disease in a family
Assess disease-gene network
More annotations using genome browser
Mendelian disease filters
More annotations for Gene Ontology and Pathway analysis
Case control analysis
Narrow and broad peaks categorization
More statistics on peak results to extract more biological insights
Generate correlation between common peaks among all the replicates
Fusion Transcript identification
miRNA Analysis for plant
Advanced filters

9. iOMICS Research: Data Store
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Administer, Manage and Share data with Collaborators

10. JNCASR
Some Of Our Customers

11. Thank You
Corporate Office
Shezan Lavelle, 5th Floor,
#15, Walton Road,
Bangalore – 560 001,
Karnataka, India.
Email: prahalad@interpretomics.co
Telephone: +91 (0)80 4662 3800
Website: www.interpretomics.co
Corporate Office: USA
InterpretOmics, Inc.
#5 Parker Street, Lexington
MA 02421, USA
Email: info@interpretomics.co
Telephone: 415-800-4515
URL: www.interpretomics.co
Genomic Sequencing Lab: India
InterpretOmics Center for Next Generation Sequencing
#329 7th Main, 80 Ft Road,
Indiranagar, HAL II Stage
Bangalore – 560 008