The newest version of NxClinical fills a critical role—it solves the two conventional software problems identified within this blog—with its integrated Knowledgebase (KB) module. This first-of-its-kind database feature can dramatically simplify a lab’s interpretation, reporting process, and standardization while enhancing the consistency of each case report.
Enlightenedbio interviews Dr. Soheil Shams, President, Founder, and CSO of BioDiscovery and now Chief Informatics Officer (CIO) at Bionano Genomics, on the recent acquisition of BioDiscovery by Bionano.
The most recent version of NxClinical, the leading CNV analysis software for clinical cytogenetics and molecular labs, now includes an integrated ACMG guidelines scoreboard feature. This feature automatically calculates the score for many of the evidence categories described by the ACMG standards.
From SNP arrays and NGS data with corresponding SNP data, NxClinical enables laboratories to detect the presence of both isoUPD and heteroUPD when a parental sample is available.
For almost two decades the Database of Genomic Variants (DGV) has provided researchers and clinicians open access to common copy number variations, from diverse genomic populations for the purpose of identifying common polymorphisms in these populations...
For 25 years, BioDiscovery, Inc. has been dedicated to developing state-of-the-art software products for life science research and clinical applications. In this interview, BioDiscovery Founder, President & CSO Soheil Shams portrays the success story of a company that is deeply entrenched in the history and rapid acceleration of genomics.
The American College of Medical Genetics and Genomics Secondary Findings Working Group has recently updated its recommendations.
The long-awaited NxClinical update is here! NxClinical 6.0 is packed with over 500 features and improvements - too many to talk about here but this blog features some of the highlights.
The BAM MSR algorithm uses a set of “normal” samples to create a pooled reference to be used against the samples under analysis. Here are a few recent publications showing the algorithm’s versatility in handling different types of NGS data from panels to low-pass whole genome.
A recent paper on the project shared results from a reanalysis in 2017 of the initial 1133 children using new knowledge and findings that have accumulated since the initial analysis. The pace at which improvements in genomic data technologies, analysis, and knowledge are moving, the group hypothesized that it is likely that diagnostic yield would increase via the reanalysis. They sought to determine how much of an improvement can be made over time.