We've gathered testimonials from some of our users and we'd like to share them with you.

Publications citing MutationForecaster


Qing-Li Wang, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, China

I used the MutationForecaster system to predict the effects of intron​ic​ variants in NTRK1, The results are​precise. For example, the variant NM_002529.3:c.851-33T>A was predicted to affect lariat formation in mRNA splicing, which has been verified by our laboratory. It ​was a bit difficult for me to interpret the results, but your company staff provided me with good support. Thank you!

Ross Hardison, Director, Huck Institute for Comparative Genomics and Bioinformatics, Pennsylvania State University, USA

Thanks for keeping m​e​ informed on your interesting ​work. Glad to see you are making progress on this important problem of figuring out which variants in noncoding regions may be important.

Shannon pipeline

Mike Nickerson, Ph.D., Research Fellow, Cancer and Inflammation Program, US National Cancer Institute

The analytic tool is being applied to evaluate a variety of variants which can be difficult to interpret in terms of their effects on protein function. Analysis of variants for potential effects on splicing provides a tool to distinguish deleterious mutations from passenger variants and generates hypotheses that can be experimentally evaluated using PCR of reverse-transcribed tumor RNA.

Dr. med. Sebastian Beer, Universitätsklinikum Leipzig, Germany

It's a great work you and your colleagues have performed. I was guided to your homepage by a couple of publication of yours.

Mark Poznansky, CEO, Ontario Genomics Institute, Canada

Cytognomix's Shannon pipeline is resolving significant data interpretation issues in cancer research.

Dee Wu, Ph.D., Chief, Technology Applications & Translational Research, University of Oklahoma Health Sciences Center, USA

Based on what I saw, it seems reasonably easy to run… Thank you again, this is support right up to the top of the knowledge on the product.

Hanna Koskiniemi-Kuendig, Ph.D., Department of Medical Genetics, University of Lausanne, Switzerland

I was happy with the pipeline – it was easy to use and makes it feasible to analyze potential changes in splicing pattern in a large amount of data. I do think that the pipeline is very promising and could be useful for us for the analysis of whole genome/exome data.

Paola Benaglio, Ph.D. Candidate, Department of Medical Genetics, University of Lausanne

It is indeed the first one which can provide high throughput results about the consequences of variants on splicing, and I was very eager to use it. Since we have indeed obtained useful results ... we are now discussing if it will be useful for the entire laboratory to subscribe a license, but I anticipate that we would be more interested in a CLC-free version, since we are rather using perl scripts and linux command lines for genome variant analysis.


Veridical wins best paper award at two conferences!

Coby Viner presented the Veridical algorithm and software at the 2014 Compute Ontario 1st Annual Research Conference (Waterloo, Ontario, May 7, 2014) and at the 9th Annual Great Lakes Bioinformatics Conference (Cincinnati, Ohio, May 17). He received the Best Oral Presentation and Best Highlights Presentation award, respectively.

Stefania Bortoluzzi, Assistant Professor, Department of Biology, University of Padua, Italy

... the interpretation of genetic variants is a difficult and key issue in current research. The integration of genomic and transcriptomic data, namely the use of RNA-seq-based transcriptome characterization as a "molecular phenotype" of cells is useful and meaningful.

Francesc Xavier Roca, Assistant Professor, Div. Molecular Genetics & Cell Biology, Nanyang Technological University, Singapore

This outstanding tool appears very useful to screen the wealth of transcriptomic data for effects in splicing due to mutations in disease samples, and I think that it will potentially be of interest for many if not all such RNAseq-based studies. In addition, this could spur further efforts to derive similar tools with improved efficiencies. Use of this method should help establish the importance of aberrant splicing in disease as well as the effects of genomic mutations at the RNA level.

Dr. med. Sebastian Beer, Universitätsklinikum Leipzig, Germany

It's a great work you and your colleagues have performed. I was guided to your homepage by a couple of publication of yours.

Nathaniel Bryans, Software Development Engineer, Microsoft, USA

I haven’t yet had a chance to deep-dive the article, but from my first read it looks like an interesting and novel piece of software. Congrats ...

Yskert von Kodolitsch, Professor, Universitätsklinikum Hamburg-Eppendorf, Germany

That is sensational ... looks like a break-through. People really should start using your prediction model.

Stylianos Antonarakis, Professor and Chairman, Department of Genetic Medicine and Development, University of Geneva Medical School

Very interesting and useful indeed!

Liliana Florea, McKusick-Nathans Institute of Human Genetics, Johns Hopkins University

The idea is ingenious and novel as applied to mutations affecting splicing … The software is fast and practical, being able to test thousands of variants in hundreds of samples within hours. This is the first software of its kind, and if accurate it will be a very valuable resource for clinical genomics.

Peter Robinson, Institute for Medical Genetics, Universitätsklinikum Charité, Berlin, Germany

The program fulfils an important need in the community, the results appear promising and will be of special interest to groups performing RNA-seq analysis in medical settings.


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