{"id":4479,"date":"2018-05-25T13:40:05","date_gmt":"2018-05-25T13:40:05","guid":{"rendered":"http:\/\/www.cytognomix.com\/?page_id=4479"},"modified":"2025-12-01T22:43:47","modified_gmt":"2025-12-01T22:43:47","slug":"home-page","status":"publish","type":"page","link":"https:\/\/www.cytognomix.com\/","title":{"rendered":"Home Page"},"content":{"rendered":"
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Genome-Scale Variant Interpretation<\/h4>\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div><\/div>
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Automated Radiation Dose Estimation<\/h4>\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div><\/div>
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Mission Statement<\/h4>\t\t\t\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<\/div><\/div><\/div>
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MutationForecaster\u00ae<\/a><\/em><\/strong>\u00a0(mutationforecaster.com<\/a>) is Cytognomix\u2019s patented web-portal for analysis of all types of mutations – coding and non-coding- including interpretation, comparison and management of genetic variant<\/a>\u00a0data.\u00a0It\u2019s a fully automated\u00a0genome interpretation<\/a> solution for research, translational and clinical labs.<\/p>\n

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 \u00a0Variant Effect Predictor. \u00a0With our integrated suite of software products, analyze coding, non-coding, and copy number variants, and compare new results with existing or your own database. \u00a0Select predicted mutations \u00a0by phenotype using articles with CytoVisualization Analytics. \u00a0With Workflows, \u00a0automatically perform end-to-end analysis with all of our software products.\u00a0 Download an 1 page overview<\/strong> of\u00a0MutationForecaster<\/strong>\u00ae<\/strong><\/em> (link<\/a>)<\/p>\n

Subscribe and analyze your own data via the cloud or… Don\u2019t want to run your own analyses on\u00a0MutationForecaster\u00ae<\/em><\/strong>? Let us do it for you with\u00a0our Bespoke Analysis Service<\/a>.<\/p>\n

Experience our suite of genome interpretation products through\u00a0a\u00a0free<\/em>\u00a0trial of<\/strong>\u00a0MutationForecaster\u00ae<\/a>. Once you register, we provide datasets from our peer-reviewed publications to evaluate\u00a0these software tools.<\/p>\n<\/div>\n\t\t<\/div><\/div>

Automated radiation biodosimetry<\/h3>\t\t\t

Ionizing radiation produces characteristic chromosome changes. The altered chromosomes\u00a0 are known as dicentric chromosomes<\/a>\u00a0<\/strong>[DCs]). DC biodosimetry is approved by the IAEA for occupational radiation exposure<\/a>, radiation emergencies, or monitoring long term exposures.\u00a0 The DC assay can also monitor effects of interventional radiation therapies.<\/p>\n

Cytognomix has\u00a0developed\u00a0 a novel approach to find DCs<\/strong> (TBME<\/a>).\u00a0 The\u00a0Automated Dicentric Chromosome Identifier and Dose Estimator<\/em>\u00a0(ADCI)<\/strong>\u00a0software \u00a0works on multiple platforms and uses images produced by any of the existing automated metaphase capture systems found in most cytogenetic laboratories.\u00a0ADCI is now available for for trial or \u00a0purchase (link<\/a>). \u00a0Or contact\u00a0us<\/a>\u00a0for details (pricing<\/a>).<\/p>\n

ADCI* uses machine learning to\u00a0distinguish monocentric and dicentric chromosomes (Try the Dicentric Chromosome Identifier web app<\/a>). With novel image segmentation,\u00a0ADCI has become a fully functional cytogenetic biodosimetry system<\/strong>. ADCI takes images from metaphase scanning systems, \u00a0selects high quality cells, identifies dicentric chromosomes, builds biodosimetry calibration curves, and estimates exposures. \u00a0ADCI 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<\/a>.<\/p>\n<\/div>\n\t\t<\/div><\/div>

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We find and validate mutations and gene signatures that others cannot with advanced, \u00a0patented<\/a> genomic bioinformatic technologies. <\/em>Cytognomix continues our \u00a0long track record of creating technologies for genomic medicine. We anticipate and implement the needs of the molecular medicine and genomics communities.<\/p>\n<\/div>\n\t\t<\/div><\/div><\/div>

Predict chemotherapy outcomes<\/h3>\t\t\t

Pharmacogenomic responses to chemotherapy drugs can be predicted by supervised machine learning of expression and copy number of relevant gene combinations. Since 2015,\u00a0 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.\u00a0 Try out out our online predictor:\u00a0 https:\/\/chemotherapy.cytognomix.com.\u00a0<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>

Quantifying responses to ionizing radiation with gene expression signatures.<\/h3>\t\t\t

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.\u00a0 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<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>

Single copy genomic technologies<\/h3>\t\t\t