iNDX has decade of experience in bioinformatics services capabilities and ensures fast and reliable results
- Small RNA Sequencing Data Analysis
- Degradome Sequencing Data Analysis
- Digital Gene Expression Sequencing Data Analysis
- RNA-Seq (mRNA) Data Analysis
- Total RNA-Seq (Whole Transcriptome) Sequencing Data Analysis
Our extensive knowledgebase covers translational research, biomarker discovery, clinical studies, disease-specific research, microbiome analysis and beyond. Our proprietary workflows are designed for the highest efficiency and quality. To serve you better, we have redundant laboratories strategically located across US. To ensure the safety of your data, Genomic Services operates with secure IT facilities, infrastructure and data centers as well as a disaster recovery data center.
Multi-modal Cancer Genomics Profiling Services
Immune Repertoire Profiling Services
Microbiome Profiling Services
RNA Sequencing Services
RNA qPCR Services
RNA Isolation Service
DNA Sequencing Service
DNA Isolation Service
Whole Genome Amplification Service
iNDX proprietary work flow Technology provides Transcriptomic Data Analysis service. We have extensive experience in helping solve a wide variety of bioinformatics problems.
- Identification of the expressed genes
Identification of splicing variants
Determination of the gene structures
Quantification of absolute & relative gene expression levels
Relative expression of different alleles
SNP discovery and characterization
Differential expression analysis
Detection of post-transcriptional edits
De-novo RNA sequencing
Identification of microRNAs including novel microRNAs
Gene Ontology (GO) enrichment analysis
Novel microRNA prediction
Expression quantitation of known and novel microRNA
Differential expression analysis of known & novel microRNA
Target gene prediction and network/pathway analysis
What is iTracker
iTracker automates the sample tracking process by integrating data generated from sample collection and analysis activities from the various organization.
Who is it for
Study managers, clinical operation managers, clinical research coordinators, scientists, clinical investigators, clinicians, oncologists, cancer researchers, principal investigators, lab personnel, bioinformaticians
Clinical trial ’s complex ecosystem involves multiple medical centres, hospitals, bio-specimen vendors, sites, and CROs located across the globe – making it extremely difficult to organize, assemble, and track data according to a unified classification scheme.
Strict regulatory scrutiny, changing legal requirements, and different trial guidelines across geographical regions introduce additional layers of complexity.
In order to ensure that all the stakeholders get due credit for their intellectual and financial capital invested, it is very important to maintain accurate tracking and annotation of data.
Lost, compromised, and unannotated data can prevent retrospective analysis that may prove to be critical in more advanced phases of clinical trial pipeline
iTracker automates sample tracking process by integrating data from the various organizations. The platform offers a high level of automation in tracking clinical samples and consent documents during the entire trial period.
This solution is currently used by the Parker Institute for Cancer Immunotherapy to manage its sample tracking operations across 6 different institutes in the United States.
It empowers study teams to monitor the health of clinical trials from a sample-centric perspective across the distributed ecosystem of sites, labs, vendors, and biobanks.
Most clinical trials can be configured with out-of-the-box (OOB) features and do not require any special customization – making it very easy to bring on new studies and data sources from vendors.
Dedicated sample-centric informatics infrastructure provides real-time intelligence and decision support by combining key clinical trial processes/operations in a single platform.
Real-time sample collection status and actionable insights into study planning (including sample collection and informed consent).
Streamlined automation of patient enrollment & consent tracking.
Seamless sample collection, shipment, and reconciliation.
Monitor sample storage, transfer requests, the fulfillment of transfer requests, and sample inventory.