Pairend NGS Cloud
Cloud-based platform for automated analysis of next-generation sequencing (NGS) data. Provides end-to-end bioinformatics workflows for WGS/WES/RNA-Seq/metagenomics and targeted assays, phenotype-aware variant prioritization using machine learning, automated literature-driven reanalysis, multi-level quality control and reporting, and encrypted domestic data storage with stated alignment to data-protection standards.
Industries
Nr. of Employees
small (1-50)
Pairend NGS Cloud
Products
NGS Cloud
A high-performance computing platform designed for Next-Generation Sequencing analysis, operating entirely on the cloud to run demanding whole exome sequencing and whole genome sequencing analyses.
AI-Supported Genetic Data Analysis Platform
An AI-powered bioinformatics analysis and data mining platform providing secure genetic data processing, anonymization, and advanced clinical genomic solutions.
Whole Exome Sequencing (WES)
An advanced genetic testing and bioinformatics analysis service that sequences the protein-coding regions of the genome to identify genetic variants linked to inherited diseases, cancer, and rare disorders.
Whole Genome Sequencing Service
Comprehensive genetic analysis service that maps all genetic information in an organism’s DNA using next-generation sequencing technology.
Metagenomic Sequencing Service
An AI-supported genetic data analysis platform and sequencing service that directly analyzes the genetic material of microorganisms from various environmental and biological samples without culturing.
RNA Transcriptome Sequencing
An advanced next-generation sequencing and data analysis service that allows for precise analysis of gene expression, alternative splicing, mutation detection, and biomarker discovery.
NGS Cloud
A high-performance computing platform designed for Next-Generation Sequencing analysis, operating entirely on the cloud to run demanding whole exome sequencing and whole genome sequencing analyses.
AI-Supported Genetic Data Analysis Platform
An AI-powered bioinformatics analysis and data mining platform providing secure genetic data processing, anonymization, and advanced clinical genomic solutions.
Whole Exome Sequencing (WES)
An advanced genetic testing and bioinformatics analysis service that sequences the protein-coding regions of the genome to identify genetic variants linked to inherited diseases, cancer, and rare disorders.
Whole Genome Sequencing Service
Comprehensive genetic analysis service that maps all genetic information in an organism’s DNA using next-generation sequencing technology.
Metagenomic Sequencing Service
An AI-supported genetic data analysis platform and sequencing service that directly analyzes the genetic material of microorganisms from various environmental and biological samples without culturing.
RNA Transcriptome Sequencing
An advanced next-generation sequencing and data analysis service that allows for precise analysis of gene expression, alternative splicing, mutation detection, and biomarker discovery.
Services
Centralized platform for uploading sequencing data, running automated analysis pipelines, and delivering QC and interpretation reports for research and clinical projects.
Bioinformatics processing and interpretation for WGS/WES including alignment, variant calling, CNV/SV analysis, annotation and clinical-style reporting.
Processing of RNA-Seq data including expression quantification, differential expression, splicing and fusion detection, with downstream functional interpretation (GO/KEGG/PPI).
Processing of metagenomic samples for taxonomic profiling, antimicrobial-resistance gene detection and viral variant identification.
Analytical and interpretation workflows tailored for rare disease diagnostics, oncology, carrier screening and pharmacogenomics with standards-aligned reporting.
Centralized platform for uploading sequencing data, running automated analysis pipelines, and delivering QC and interpretation reports for research and clinical projects.
Bioinformatics processing and interpretation for WGS/WES including alignment, variant calling, CNV/SV analysis, annotation and clinical-style reporting.
Processing of RNA-Seq data including expression quantification, differential expression, splicing and fusion detection, with downstream functional interpretation (GO/KEGG/PPI).
Processing of metagenomic samples for taxonomic profiling, antimicrobial-resistance gene detection and viral variant identification.
Analytical and interpretation workflows tailored for rare disease diagnostics, oncology, carrier screening and pharmacogenomics with standards-aligned reporting.
Expertise Areas
- NGS bioinformatics and pipeline automation
- Clinical variant interpretation and reporting
- Cloud-based genomic data management
- Transcriptomics and functional analysis
Key Technologies
- Next-generation sequencing (NGS)
- Whole-genome and whole-exome sequencing
- RNA sequencing and transcriptome analysis
- Metagenomic sequencing
News & Updates
Technical guide describing components, design and best practices for NGS pipelines and how cloud/AI platforms can integrate workflow stages from raw data to reporting.
Overview of laboratory and bioinformatics stages in NGS workflows including sample preparation, QC, alignment, variant calling and reporting; references to variant-effect prediction and QC resources.
Technical review on how cohort size and inter-sample correlation affect statistical power and error rates in copy-number-variation detection.
Case description of phenotype-driven reanalysis and automated knowledge updating to accelerate rare-disease diagnosis and increase diagnostic yield.
Case study describing integrated CNV detection within exome/WGS analyses using cohort-aware and automated approaches to detect clinically relevant copy-number events.
Description of phenotype-guided variant prioritization and rapid detection of large-scale genomic events from whole-genome data.
Technical guide describing components, design and best practices for NGS pipelines and how cloud/AI platforms can integrate workflow stages from raw data to reporting.
Overview of laboratory and bioinformatics stages in NGS workflows including sample preparation, QC, alignment, variant calling and reporting; references to variant-effect prediction and QC resources.
Technical review on how cohort size and inter-sample correlation affect statistical power and error rates in copy-number-variation detection.
Case description of phenotype-driven reanalysis and automated knowledge updating to accelerate rare-disease diagnosis and increase diagnostic yield.
Case study describing integrated CNV detection within exome/WGS analyses using cohort-aware and automated approaches to detect clinically relevant copy-number events.
Description of phenotype-guided variant prioritization and rapid detection of large-scale genomic events from whole-genome data.