G E N I X

Gene Marker Detection

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Genome-wide Association Studies (GWAS)

By analyzing genetic variations across the entire genome in populations with and without a particular trait we can identify associations between specific genetic markers and traits, helping uncover the genetic basis of diseases.

Genome-wide Association Studies (GWAS)
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Polymerase Chain Reaction (PCR) and DNA Sequencing

Using PCR against specific DNA regions we can detect mutations or variations in targeted genes associated with diseases, aiding in diagnostics and personalized medicine.

Polymerase Chain Reaction (PCR) and DNA Sequencing
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Single Nucleotide Polymorphism (SNP) Analysis

To understand genetic predispositions, study population genetics, and develop markers for disease susceptibility or drug response we can use variations at a single nucleotide level to identify SNPs associated with traits.

Single Nucleotide Polymorphism (SNP) Analysis
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Expression Profiling (Transcriptomics)

Gene markers associated with diseases can be identified by studying gene regulation, and understanding variations in gene expression levels of genes in a tissue or cell.

Expression Profiling (Transcriptomics)
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CRISPR-Cas9 Genome Editing

Using CRISPR technology to introduce or edit specific genetic markers can be used to investigate gene function by creating or modifying markers, potentially offering therapeutic interventions for genetic disorders.

CRISPR-Cas9 Genome Editing
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Bioinformatics and Data Mining

Large-scale genomic data using computational tools and algorithms can discover patterns and relationships within genomic data, facilitating the identification of potential gene markers associated with diseases or traits.

Bioinformatics and Data Mining
WORK PROCESS

How genix.ai process & works.

  • 1

    Frame the Problem

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  • 2

    Collect the Data

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  • 3

    Process the Data

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