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MH Guide

A software for interpreting NGS data to identify genetic variants relevant for cancer treatment, aiding precision oncology.

Solution by Molecular Health
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Overview

MH Guide is a tertiary analysis software designed for molecular pathologists, oncologists, and healthcare professionals to interpret next-generation sequencing (NGS) data and genetic alterations. It streamlines the generation of reports, facilitating the management of precision medicine demands by identifying genetic variants crucial for cancer treatment and converting this data into actionable clinical insights.

The software simplifies molecular tumor profiling by guiding users through the analysis of molecular data and supporting evidence-based decisions. It enables healthcare professionals to move from molecular data to actionable insights efficiently.

Key Features:

  • Data Upload: Supports data upload from secondary analysis platforms, with optional data adaptation using the MH VCF Adapter Suite.
  • Variant Annotation: Provides automated variant annotation with expertly curated data from established databases like ClinVar, dbSNP, and gnomAD.
  • Interpretation of Findings: Includes ACMG and oncogenicity classification, clinical tiering systems, and matched therapy associations with region-specific clinical trials.
  • Summary Report: Generates automated, customizable summary reports in PDF and JSON formats.

MH Guide is a Software as a Service (SaaS) application, accessible via web browser, eliminating the need for additional IT resources. It supports Variant Call Format (VCF) data from various secondary analysis pipelines and can integrate results from non-NGS methods. The software's knowledge base provides comprehensive, curated variant information narratives, reducing interpretation time and offering region-specific content matching for treatment options and clinical trials.

Meta

Category
Genomic Data Analysis
Field(s)
Omics & Data AnalysisClinical & Trials
Target user(s)
Clinical / Diagnostic ProfessionalBioinformatician / Data Scientist
Tag(s)
Genomics / NGS Analysis