CANCER BIOINFORMATICS

ArrayGen Cancer Bioinformatics

Bioinformatics represents a dynamic intersection of biological, statistical, and computational sciences. Its pivotal role in cancer research extends beyond mere data management; it empowers researchers to meticulously analyze, mine, and comprehend the vast reservoirs of high-throughput data at their disposal. Moreover, bioinformatics seamlessly integrates these insights into ongoing research endeavors. Recent strides in technology have propelled translational bioinformatics to new heights, generating unprecedented volumes of data that mirror the intricate workings of biological systems. These advancements not only facilitate a deeper understanding of DNA, RNA, proteins, cells, and tissues but also catalyze transformative breakthroughs in cancer research, offering novel avenues for diagnosis, treatment, and prevention

What We Do


  • We collaborate closely with clinical and basic scientists worldwide to bolster cancer research initiatives. This partnership represents an ideal synergy between domain experts—those who define pertinent research inquiries from the perspective of cancer biologists and clinicians—and bioinformatics specialists, who adeptly craft methodologies to address these queries.

  • Our focus extends beyond mere collaboration; we actively engage in pioneering bioinformatics research. Our efforts center on refining computational and integrative techniques, devising algorithms, curating databases, and crafting tools tailored to navigate the vast landscape of cancer data.

  • Moreover, our commitment to advancing bioinformatics education is unwavering. At ArrayGen, we spearhead the development of educational courses that cater to biologists, providing them with essential skills in leveraging bioinformatics methods. These courses empower biologists to effectively harness complex high-throughput data, unraveling crucial insights into molecular mechanisms and paving the way for the creation of innovative targeted therapeutics and diagnostic tools. All the courses are one to one and 100% interactive as well as 100% industrial.

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For more information visit our Bioinformatic services

Custom Analyses for ‘omics datasets
For each type of dataset, the custom analyses will be performed as required.
Bioinformatics Analyses includes:
  • Analysis of Whole genome sequencing or Whole Exome Sequencing (SNP/Indel/CNVs)
  • Transcriptome profiling (RNA-seq)
  • Single-cell RNA-seq data analysis
  • MicroRNA profiling
  • ChIP-seq
  • Methylation (bisulfite sequencing / RRBS): identification of differentially methylated and unmethylated regions
  • Metabolomic data analysis
  • Advanced Data Mining with AIML Algorithms.
  • Empowering Cancer Care with Predictive Modeling
  • High-Dimensional Data Analysis Made Simple
  • Unleash the Potential of Machine Learning
  • Streamlining Data Feature Identification
  • Precision in Biological Data Classification
  • Targeted Predictive Modeling for Optimal Results
  • Accurate Phenotype Identification for Enhanced Understanding
  • Image Analysis Redefined with Advanced Feature Extraction
  • Feature Extraction from Genomic or exome NGS sequencing data and AIML implmenataion for disease prediction



Explore our tools and database



TGCA Expression Map


ArrayGen Heatmap Generator