Genome-Scale Variant Interpretation

Automated Radiation Dose Estimation

Mission Statement

MutationForecaster® (mutationforecaster.com) is Cytognomix’s patented web-portal for analysis of all types of mutations (coding and non-coding), including interpretation, comparison and management of genetic variant data. It’s a fully automated genome interpretation solution for research, translational and clinical labs.

MutationForecaster® combines our world-leading genome interpretation software on your exome, gene panel, or complete genome (Shannon transcription factor and splicing pipelines, ASSEDA, Veridical) with the Cytognomix User Variation Database and  Variant Effect Predictor.  With our integrated suite of software products, analyze coding, non-coding, and copy number variants, and compare new results with existing or your own database.  Select predicted mutations  by phenotype using articles with CytoVisualization Analytics.  With Workflows,  automatically perform end-to-end analysis with all of our software products.

Download an 1 page overview of MutationForecaster®link .

You can now experience our integrated suite of genome interpretation products through a free trial of MutationForecaster®. Once you register, analyze datasets that we have analyzed in our peer-reviewed publications with any of our software tools.

Ionizing radiation produces characteristic chromosome changes. The altered chromosomes contain two central constrictions, termed centromeres, instead of one (known as dicentric chromosomes [DCs]). Chromosome biodosimetry is approved by the IAEA for occupational radiation exposure, radiation emergencies, or monitoring long term exposures.  In emergency responses to a range of doses, labs need efficient methods that identify DCs.

Cytognomix has developed  a novel approach to find DCs that is independent of chromosome length, shape and structure from different laboratories (paper: TBME).  The Automated Dicentric Chromosome Identifier and Dose Estimator (ADCI) software  works on multiple platforms and uses images produced by any of the existing automated metaphase capture systems found in most cytogenetic laboratories. ADCI is now available for for trial or  purchase (link).  Or contact us for details (pricing).

ADCI* uses machine learning based algorithms with high sensitivity and specificity that distinguish monocentric and dicentric chromosomes (Try the Dicentric Chromosome Identifier web app). With novel image segmentation, ADCI has become a fully functional cytogenetic biodosimetry system. ADCI takes images from all types of commercial metaphase scanning systems,  selects high quality cells for analysis, identifies dicentric chromosomes (removing false positives), builds biodosimetry calibration curves, and estimates exposures.  ADCI fulfills the criteria established by the IAEA for accurate triage biodosimetry of a sample in less than an hour. The accuracy is comparable to an experienced cytogeneticist. Check out our online user manual: wiki.

We find and validate mutations that others cannot with advanced,  patented genomic  probe and bioinformatic technologies. Cytognomix continues our  long track record of creating technologies for genomic medicine. We anticipate and implement the needs of the biomedical and clinical genomics communities.

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Latest Posts

Pan-Cancer Splicing Web Beacon to be Presented at ACMG Meeting

We’re giving a demonstration and a poster presentation of our new GA4GH-compliant web-based Beacon (https://validsplicemut.cytognomix.com) at the 2019 American College of Medical Genetics and Genomics annual conference this week. Here are the details: Pan-Cancer Repository of Validated Natural and Cryptic mRNA Splicing MutationsCategory: “Laboratory genetics and genomics”, Abstract Poster Number:  754 (link to abstract) Where: Exhibit hall,  Washington […]

March 20, 2019. Presentation at the 2019 American College of Medical Genetics and Genomics annual conference

The following  paper has been accepted for presentation:  “Pan-Cancer Repository of Validated Natural and Cryptic mRNA Splicing Mutations”,  Category: “Laboratory genetics and genomics”, Abstract Poster Number: 754     (link to Abstract) Where: Exhibit hall, Washington Convention Center, ACMG Clinical Genetics Meeting in Seattle, Washington When: April 2 – 6, 2019;  Poster presentation time: Friday, 4/5 from 10:30am-12:00pm This work […]

Feb. 14, 2019. New article about targeted validation of mRNA splicing mutations

New article in bioRxiv: Expression changes confirm predicted single nucleotide variants affecting mRNA splicing. E. J. Mucaki and P.K. Rogan. (https://www.biorxiv.org/content/10.1101/549089v1) This paper describes high quality qRT-PCR and microarray expression data of predicted splicing variants. The results confirm results of genome-wide TCGA and ICGC RNASeq findings (https://f1000research.com/articles/7-1908/v1). The genome scale results were obtained using CytoGnomix’s […]