Elevating life science technology to prioritize what truly matters

Data Acquisition and Management

Sequencing Data Integration: Our Software solutions can handle the integration of raw DNA data from various sequencing platforms (e.g., Illumina) into a unified format for analysis.

Data Storage: Our Solutions provide scalable storage options for large datasets generated from high-throughput sequencing. Cloud-based platforms are often used for their scalability and accessibility.

Data Quality Control: Tools ensure data integrity by performing quality checks on raw sequencing reads, identifying and correcting errors.

Data Processing

Base Calling: Software converts raw signals from sequencing machines into nucleotide sequences. This step is crucial for accurate downstream analysis.

Alignment: Tools align sequencing reads to a reference genome or sequence to determine the exact position of each read within the genome.

Variant Calling: Identifies genetic variants such as single nucleotide polymorphisms (SNPs), insertions, and deletions by comparing aligned sequences to a reference genome.

Data Analysis

Variant Annotation: Provides functional annotation of identified variants to predict their impact on genes or biological functions.

Differential Expression Analysis: Analyzes gene expression levels across different conditions or treatments to identify differentially expressed genes.

Pathway and Network Analysis: Maps identified variants or gene expression changes to biological pathways and networks to understand their broader implications.

Visualization

Genome Browsers: Provide interactive views of genome sequences, including annotations, variants, and expression data.

Graphical Reports: Generate visual representations of data, such as heatmaps, plots, and charts, to facilitate interpretation and presentation.

Integration and Interoperability

Data Integration: Allows integration of sequencing data with other types of omics data (e.g., proteomics, metabolomics) to provide a comprehensive view of biological systems.

APIs and Plugins: Our software solutions offer APIs or plugins to integrate with other tools and databases, enhancing functionality and allowing for customized workflows.

Automation and Workflow Management

Pipeline Automation: Automates repetitive tasks in the sequencing data analysis pipeline, from data processing to reporting.

Workflow Management Systems: Tools to manage and streamline complex workflows, ensuring reproducibility and efficiency.

Collaboration and Sharing

Cloud-Based Platforms: Enable sharing of sequencing data and analysis results among researchers across different institutions.

Data Security: Ensures that sensitive genomic data is stored and shared securely, complying with regulatory requirements.

Advanced Capabilities

Single-Cell Sequencing Analysis: Specialized tools for analyzing data from single-cell sequencing experiments, including cell clustering and trajectory analysis.

Metagenomics: Analyzes DNA sequences from environmental samples to study microbial communities and their functions.

Long-Read Sequencing Analysis: Tools designed to handle and analyze data from long-read sequencing technologies, which provide more accurate assembly of complex genomes.