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.

Run 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)

Subscribe and analyze your own data via the cloud or… Don’t want to run your own analyses on MutationForecaster®? Let us do it for you with our Bespoke Analysis Service.

Experience our suite of genome interpretation products through a free trial of MutationForecaster®. Once you register, we provide datasets from our peer-reviewed publications to evaluate these software tools.

Automated radiation biodosimetry

Ionizing radiation produces characteristic chromosome changes. The altered chromosomes  are known as dicentric chromosomes [DCs]). DC biodosimetry is approved by the IAEA for occupational radiation exposure, radiation emergencies, or monitoring long term exposures.  The DC assay can also monitor effects of interventional radiation therapies.

Cytognomix has developed  a novel approach to find DCs (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 to 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 metaphase scanning systems,  selects high quality cells, identifies dicentric chromosomes, 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 and gene signatures that others cannot with advanced,  patented genomic bioinformatic technologies. Cytognomix continues our  long track record of creating technologies for genomic medicine. We anticipate and implement the needs of the molecular medicine and genomics communities.

Predict chemotherapy outcomes

Pharmacogenomic responses to chemotherapy drugs can be predicted by supervised machine learning of expression and copy number of relevant gene combinations. Since 2015,  CytoGnomix has used biochemical evidence to derive gene signatures from changes in gene expression in cell lines, which can subsequently be examined in patients that have been treated with the same drugs. We have derived signatures for 30 different commonly used drugs.  Try out out our online predictor:  https://chemotherapy.cytognomix.com. 

Quantifying responses to ionizing radiation with gene expression signatures.

Gene signatures derived by machine learning have low error rates in externally validated, independent radiation exposed data. They exhibit high specificity and granularity for dose estimation in humans and mice.  These signatures can be designed to avoid the effects of confounding, comorbidities which can reduce specificity for detecting radiation exposures. See: https://f1000research.com/articles/7-233/v2

Single copy genomic technologies

Latest Posts

May 14, 2015. Presentation at the Great Lakes Chromosome Conference

Dr. Joan Knoll, Chief Scientific Officer of Cytognomix, will present: Localized, Structural Differences in Condensation of Homologous Metaphase Chromosomes and the Underlying Mechanism at the 53rd Annual Great Lakes Chromosome Conference at the University of Toronto, Ontario, Canada.

April 30. Sale of MutationForecaster subscription

Cytognomix has sold an annual subscription to MutationForecaster, our comprehensive solution for next generation sequencing based mutation interpretation, to a hospital in Toronto, Ontario Canada. This customer was a previous subscriber to the Automated Site and Exon Definition Server, which is embedded in MutationForecaster and no longer available as standalone software.

April 30, 2015. Sale of Shannon mRNA splicing mutation pipeline software license

Cytognomix’s standalone version of the Shannon mRNA splicing mutation analysis pipeline is distributed through Qiagen CLC bio as a plug-in for their Genomics Workbench and Server software.This product was recently purchased by Dr. Hidetaka Eguchi at the Research Center for Genomic Medicine, Saitama Medical University, Japan.

April 6, 2015. New paper published on cancer of unknown primary

Collaborative effort led by Greg Zaric at the University of Western Ontario: Identification and survival outcomes of a cohort of patients with cancer of unknown primary in Ontario, Canada. Kim CS1, Hannouf MB, Sarma S, Rodrigues GB, Rogan PK, Mahmud SM, Winquist E, Brackstone M, Zaric GS.  Acta Oncol. 2015 Mar 31:1-7.   (link)

April 3, 2015. Video tutorials available for MutationForecaster

Videos are now available describing how to use and interpret results from the different components of the MutationForecaster system. Credits: Ben Shirley, Shannon Brown. Please go to this link to view them all: link For example, this is a general overview of the system:

March 27, 2015. Cover of the F1000Research webpage

Our paper, “Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis,” and video,  “Interpreting genomic variants in rare and common diseases,” have been highlighted by F1000Research on their home page.

March 11, 2015. Invited presentation at the University of Ontario Institute of Technology

SHARCNET Scientific Computing Seminar Series Wednesday 11 March, 11am-12pm, ERC 1056 Peter K. Rogan, CRC (Tier I) in Genome Bioinformatics, Department of Biochemistry & Department of Computer Science, University of Western Ontario, and Cytognomix Inc, London ON Mutation Forecaster, a software resource for genome-scale analysis of complete genes and human genomes Complete genome sequencing is […]