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 will be available as an ePoster AS WELL AS being presented in printed format on a poster board during the Annual Meeting. Details to access the ePoster will be available soon.
Revised version of our review article on mRNA splicing in F1000Research has been highlighted in the Faculty of 1000 blog:
The blog entry includes links to our YouTube video:
Short version (3:42)
Long version (9:41)
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Download an 1 page overview of MutationForecaster®: link .
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Links to the latest CytoGnomix products:
Applications and consulting in Geostatistical Epidemiology
Monitoring and discriminating infectious disease hotspots from high disease burden regions, eg. for COVID-19:
Zenodo repository: Geostatistical Analysis of SARS-CoV-2 Positive Cases in the United States
Defence Canada IDEaS project: Locating emerging COVID19 hotspots in Ontario after community transmission by time-correlated, geospatial analysis
Addressing large scale radiation incidents and accidents:
Article in PLOS One: Meeting radiation dosimetry capacity requirements of population-scale exposures …. (Funded by High performance computing consortium: SOSCIP and CytoGnomix)
Large scale Radiation Biodosimetry
Capacity of supercomputer version of Automated Dicentric Chromosome Identifier and Dose Estimator (ADCI) software: Automated Cytogenetic Biodosimetry at Population-Scale and Radiation, Radiation, 2021 (link to published article).
Scalable, democratized access to ADCI:
Gene Expression Signatures for Radiation Biodosimetry
Mucaki, E.J., Shirley, B.C. and Rogan, P.K., 2021. Improved radiation expression profiling in blood by sequential application of sensitive and specific gene signatures. International Journal of Radiation Biology, doi.org/10.1080/09553002.2021.1998709 Link to pdf: Improved radiation expression profiling…
Zhao, J.Z., Mucaki, E.J. and Rogan, P.K., 2018. Predicting ionizing radiation exposure using biochemically-inspired genomic machine learning. F1000Research, 7(233), p.233. Link to open access article: https://f1000research.com/articles/7-233
Large Scale Repository of Cancer Splicing Mutations
Pan-cancer repository of validated natural and cryptic mRNA splicing mutations (a major public resource of mRNA splicing mutations validated according to multiple lines of evidence of abnormal gene expression. )
Article in F1000Research: Pan-Cancer repository of …..
Presentation at the 2019 American College of Medical Genetics Annual Meeting: