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.
Browse the products section of the menu found in the header bar for more information regarding any of our services.
- Don’t want to run your own analyses on MutationForecaster®? Let us do it for you with our Bespoke Analysis Service.
- Customized genomic microarrays
- Ultrahigh resolution FISH probes:
- Microarray-based comparative genomic hybridization (aCGH) can use SC technology to increase reproducibility and reduce cost per sample.
Dec 12, 2017. Comment on PubMed PMID 23169495: Analysis of the effects of rare variants on splicing identifies alterations in GABAA receptor genes in autism spectrum disorder individuals.
Rogan PK, Mucaki EJ. Comment on PMID 23169495: Analysis of the effects of rare variants on splicing identifies alterations in GABAA receptor genes in autism spectrum disorder individuals. In: PubMed Commons [Internet]. Bethesda (MD): National Library of Medicine; 2012 Nov 21 [cited 2017 Dec 12]. Peter Rogan2017 Dec 12 09:53 a.m Regarding GABRQ:c.306G>C: Whereas none of the splicing analysis […]
Jan. 13 and 21, 2018. Comments on PubMed PMID 29280214: Thorough in silico and in vitro cDNA analysis of 21 putative BRCA1 and BRCA2 splice variants and a complex tandem duplication in BRCA2, allowing the identification of activated cryptic splice donor sites in BRCA2 exon 11.
We have posted a comment in PubMed Commons about Baert et al. “Thorough in silico and in vitro cDNA analysis of 21 putative BRCA1 and BRCA2 splice variants and a complex tandem duplication in BRCA2, allowing the identification of activated cryptic splice donor sites in BRCA2 exon 11.” (2017) (doi: 10.1002/humu.23390). The updated comments can […]
Mucaki et al. Predicting Response to Platin Chemotherapy Agents with Biochemically-inspired Machine Learning. bioRxiv. https://doi.org/10.1101/231712 Abstract Selection of effective drugs that accurately predict chemotherapy response could improve cancer outcomes. We derive optimized gene signatures for response to common platinum-based drugs, cisplatin, carboplatin, and oxaliplatin, and respectively validate each with bladder, ovarian, and colon cancer patient […]
MutationForecaster® is now available as a custom analysis service that we provide to you on your data. We’ve listened to you, let us assume the task of performing information theory-based analysis for you. We now offer a Bespoke service that allows you to get fully documented reports based on analysis of variants that you submit […]
Collaboration with a French consortium to study non-coding variants in BRCA1 and BRCA2 in patients with a family history of breast and ovarian cancer: Santana dos Santos, E, Caputo, S.M., Castera, L, Gendrot, M, Briaux, A., Breault, M, Krieger, S, Rogan, P.K, Mucaki, E.J., Bieche, I, Houdayer, C, Vaur, D, Stoppa-Lyonnet, D, Brown, M, Lallemand, […]
The International Atomic Energy Agency (IAEA), within the recently initiated Coordinated Research Project: “Applications of Biological Dosimetry Methods in Radiation Oncology, Nuclear Medicine, Diagnostic and Interventional Radiology” (E35010) will develop clinical applications for biodosimetric techniques, in particular the dicentric assay. Many of the coordinating groups have developed the dicentric assay in their labs, but generally […]
NEWS RELEASE For immediate release Ontario company contributes to radiation biodosimetry project at the International Atomic Energy Agency Cytognomix accelerates estimation of radiation exposure by participating institutions of International Atomic Energy Agency (IAEA) Member States October 30, 2017 London, Ontario, Canada Cytognomix Inc Calibration of radiation exposure needs to be accurate for effective cancer treatment. […]