About Rana Smalling
Rana Smalling, PhD joined our team as a Field Application Scientist in September of 2021. Rana is a Jamaican native who is passionate about using biomedical research and science communication to bring about better healthcare solutions. She earned a Bachelor’s degree in Biological Sciences from the University of Chicago, a PhD in Biochemistry from the University of Utah and completed postdoctoral research at Vanderbilt University Medical Center. She has used both lab bench and bioinformatics approaches to identify novel regulators and potential biomarkers in cancer and metabolic diseases. Rana enjoys providing support and training to Golden Helix customers. When she is not working, she likes to learn about the medicinal uses of plants, fungi and microbes, and she enjoys road trips, singing and listening to music.
Large-scale next-generation sequencing studies are becoming increasingly popular clinical and research tools. One enduring challenge for interpretion of these large amounts of data has been predicting the functional impact of genetic variants. Access to efficient computational tools for predicting the functional impact of variants is crucial to prioritizing the most potentially relevant variants in a dataset in a time-efficient manner…. Read more »
Genomic data visualization is an extremely powerful means to help users comprehend massive amounts of sequencing data and is valuable for communicating genomic information and findings. Genome browser tools allow users to visualize aligned sequence data in BAM format, map the data to a reference assembly, view annotation tracks, genomic region tracks, export graphics for sharing, and much more. Genome… Read more »
Oftentimes, the endpoint of a clinical variant analysis is a standardized, clinical report. As such, we ship a number of default templates with VSClinical for users to report their findings. But these templates are just a starting point! Our platform allows users to fully customize their reports to adhere to lab-specific preferences. We have shared a plethora of how-to’s on… Read more »
Advances in high-throughput sequencing have allowed us to be able to detect structural variants such as copy number variants in addition to small variants such as SNVs and indels. We provide users with an industry-leading CNV calling algorithm to detect CNVs directly from their next-generation sequencing data including whole genome, whole exome, and gene panel datasets, and also import CNVs… Read more »
Curated databases are a real time saver when compiling published evidence to support your variant evaluations and classifications. Leveraging the curated databases at your fingertips in our VSClinical variant interpretation hub is even more efficient. Not only does VSClinical provides users with automated variant classification for germline variants according to the ACMG guidelines and somatic variants according to the AMP… Read more »
When doing next-generation sequencing (NGS) analysis in VarSeq, the fundamental goal is to develop efficient ways to filter through your NGS data. If you are just getting started with Varseq, a pre-designed project template can really come in handy for variant filtering! This blog series will cover a number of template design recommendations for variant filtering on data types ranging… Read more »
Tumor profiling via next generation sequencing (NGS) often reveals secondary germline variants that may constitute important incidental findings. In May 2021, the American College of Medical Genetics and Genomics (ACMG) released an updated policy statement for reporting incidental findings in exome and genome sequencing data along with a corresponding list of genes. These recommendations state that laboratories should report pathogenic… Read more »
Thanks to all those who attended the recent webcast by Dr. Rana Smalling, “Integrating Custom Gene Panels for Variant Annotations”. If you were unable to attend or would like to recap, here is a link to watch the broadcast. We covered a lot of content regarding virtual gene panels, and there were several questions submitted during our Q&A session that… Read more »
Global population frequency catalogs like 1kG Phase 3, gnomAD, DGV, and others are excellent resources for identifying rare variants in your copy number variant (CNV) analysis. However, they are not exhaustive, and the reality is a lot of variants that are missing from global population frequency catalogs are still common variants. At the same time, CNVs that are identified by… Read more »
In our previous blog, we covered the highlights of our Advanced Report Customization in VSClinical webcast in the context of germline clinical reports. Now, we bring you the next of the series: somatic clinical reports. In the recent webcast, Advanced Report Customization, we covered a range of somatic-focused clinical reports, demonstrating how easy it is to create AMP guideline-based clinical… Read more »
In February 2020, the American College of Medical Genetics (ACMG) and the Clinical Genome Resource (ClinGen) published a joint consensus on standards for the interpretation and reporting of copy number variants (CNVs) ranging from large CNVs spanning multiple genes to small intragenic events1. The guidelines consist of over 80 different criteria which are arranged into five distinct sections. These extensive… Read more »
