Now Available: Individual Clinical NGS Process Report Chapters

We are currently offering the individual chapters and the full report at a 10% discount with promo code 10OFFCLINNGSNOW.

The recently released Clinical NGS Process Reportreleased January 12, 2018 – details the observations and learnings across the complex, multi-step informatics aspects following clinical NGS sample preparation and sequencing, and which includes data analysis, knowledge extraction, and clinical reporting of actionable findings.

You spoke – we listened: To make this report more accessible to individuals that only have an interest in a section we are now providing access to individual chapters. The following chapters are now available for separate purchase:

  1. Clinical End-User Feedback
    1. Conducted a series of end-user interviews to understand clinical needs, testing lab preferences, and challenges when receiving clinical variant data and communicating findings to the physician and the patient.
  2. Clinical NGS Market Trends
    1. NGS adoption challenges.
    2. Innovations and technology trends impacting clinical NGS applications.
    3. Mergers and acquisitions impacting clinical NGS.
  3. Ten Years of NGS Patents
    1. Studied the last ten years of NGS assignees across all NGS patent families, number of patents of leading commercial companies, and clinical-grade genetic/diagnostic testing providers.
    2. Top patent assignees across all NGS patent families.
    3. Contributed by our partner company Pramoedya Biointelligence.
  4. Clinical NGS Projects/Initiatives
    1. Detailed review of 38 global human genome-based initiatives.
  5. The Clinical NGS Data Analysis & Interpretation Ecosystem
    1. Evaluated 26 key commercial software and platform providers that offer a clinical NGS analysis or interpretation solution, to understand their product focus and offered capabilities, their strategy to address end-user needs, and more.
  6. Company/Product Profiles
    1. Reviewed 26 key companies with comprehensive solutions across the entire Clinical NGS Workflow, including genetic testing/diagnostics service providers their product focus, offered capabilities, and their strategy to address end-user needs, and more.

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Long Non-coding RNAs and Their Clinical Relevance in Cancer and Cancer Therapy

Long non-coding RNAs (lncRNAs) are clinically relevant in at least two major ways: as biomarkers for cancer or carcinogenesis and as actual targets for cancer therapy.

LncRNAs as biomarkers for cancer and carcinogenesis

LncRNAs can be biomarkers for cancer or carcinogenesis, and can yield insight into possible sensitivity or resistance to potential anti-cancer therapies. A well-known example includes the FDA-approved PROGENSA PCA3 assay testing in urinary samples used as part of the screening paradigm for prostate cancer. This is one demonstration of a testable form of lncRNA that exists with sufficient stability in a non-invasive biological sample, highlighting the key attributes of stability and ability to be assayed of a viable biomarker.

LncRNAs as targets for cancer therapy

A number of lncRNA genes have been found to be expressed at elevated levels which correlate with various cancers. To investigate a possible causal connection, there are several options to reduce or knockout expression in vivo, where the technology has already been proven to be effective in in vitro or cell culture settings. These approaches include (Gutschner et al.,2018):

  • siRNAs that are complementary to lncRNA which takes advantage of the RISC/argonaute system to degrade the target molecule
  • anti-sense oligos (ASOs), refined with chemical modifications to enhance activity or stability, which have been demonstrated to function by targeting lncRNAs to the endogenous RNase H systems for destruction
  • the use of targeting ribozymes, deoxyribozymes, or CRISPR/Cas9-derived technologies which have been proposed for silencing lncRNA.

The evolving field of RNA biology and lncRNA

Image credit: Parasramka et al. (2016)

Once relegated to the ‘junk’ DNA category, large segments of the genome and their associated transcripts have long been ignored, or thought of as unimportant. Only a few Continue reading

Genohm Aims to Hit the Sweet Spot With a Customizable SLIMS + ELN Solution for Lab Information Management

For this month’s “Company Spotlight” blog series we are reviewing Genohm with an interview with Nick Beckloff, Director of US Operations at Genohm. Genohm is a 50-person company headquartered in Lausanne, Switzerland. I took this opportunity to learn more about Genohm, and SLIMS (Sample Laboratory Information Management System), their sample and data management software offering intended to address today’s challenges of managing the sample and data throughput in clinical, NGS, and other types of labs.

The following summarizes questions and answers from my dialogue with Nick Beckloff.

EB: Tell us more about Genohm – what need are you trying to address and what products/services do you offer?

NB:  Genohm’s mission is to reduce the complexity of life in the lab by offering a software package that distills the important aspects of a LIMS while providing functionality across many relevant spectra. We offer a flexible and customizable solution Continue reading

Just Released – Our New Clinical NGS Process Report

Palo Alto, CA, January 12, 2018 – enlightenbio LLC, today announced the publication of its Clinical NGS Process Report. This new report details the observations and learnings across the complex, multi-step informatics aspects following clinical NGS sample preparation and sequencing, and which includes data analysis, knowledge extraction, and clinical reporting of actionable findings. Market trends, including listing of major initiatives, merger and acquisitions, and a summary of patents are detailed within this report, while also highlighted are clinical customer/end-users’ unmet interpretation and knowledge extraction needs and challenges, and genetic testing lab preferences. Finally, an extensive comparison of solution providers in the SaaS and PaaS sector for the analysis and interpretation of clinical NGS data is included. The report is unique, in that it is not a predictive market research report, but rather builds on data gathered from many end-user interviews combined with an extensive analysis of the clinical NGS sector.

While this report does not intend to provide direct recommendations on commercial offerings, the deep-dive analysis is an insightful review to help clinicians, researchers, commercial entities, and investors choose the best partner for success.

For a limited time only, apply Promo Code 10OFFCLINICALNGS and get 10% off when purchasing the report – valid until February 14, 2018.

Download Table of Contents to learn more about the report specifics Continue reading

Genomenon’s Automated Genomic Search Engine Mastermind Illuminates Current Trends in Genomic Literature – A Look at the Top Cited Variants Across the Scientific Literature

For this month’s “Company Spotlight” blog series we are taking a deeper look at Mastermind, an automated genomic search engine created by Genomenon, a University of Michigan spin-off. Mastermind, a comprehensive database of genomic disease-to-gene-to-variant associations, supports its users to search through millions of full text articles from the primary medical literature to identify variants of interest, prioritize them, and retrieve relevant articles for disease-gene-variant combinations. Rather than providing a regular Q&A with a company representative, we thought of illustrating the richness of Mastermind’s content and the associated functionalities via the retrieval of interesting citation data, as provided by Mark Kiel (CSO and co-Founder at Genomenon) and Lauren Chunn (Data Processing Intern at Genomenon). Specifically, the Genomenon team supplied a current trends analysis of widely cited variants within the genomic literature. Through this process they are able to paint a picture of the changing landscape of genomic research and medicine, from variants that have remained a common feature for decades to newly emerging variants over the last few years.

Genomenon is a 15 person company, headquartered in Ann Arbor, Michigan, and founded in 2014. To date, Genomenon has received $4.5M in funding (Angel, Venture investment and NIH SBIR Fast Track Grant), and has grown to become an independent company.

Mastermind is a genomic search engine comprising an index of titles, abstracts, and full text including figures and tables of 5.7 million prioritized primary articles. New Continue reading

Diploid Tackles the Challenges of Rare Disease Diagnostics

enlightenbio is excited to introduce our new “Company Spotlight” blog series where we will review some of the exciting work that is currently ongoing in up- and-coming companies. Moving forward we plan on reviewing and profiling some of these companies and their products on a regular basis.

At ASHG, I had a chance to meet with Peter Schols, CEO of Diploid, a small seven person company located in Leuven, Belgium. I took this opportunity to learn more about Diploid, and Moon, the software the company has built, and its intended application to help diagnose rare disease.

The following summarizes questions and answers from my dialogue with Peter Schols.

EB: Tell us more about Diploid – what need are you trying to address and what services do you offer?

PS: Diploid is a privately funded, rare disease diagnostics company founded in 2014. Diploid started with offering an interpretation service, helping our customers analyze rare disease sequence data. Customers send us NGS data of a patient together with a description of the phenotype, and we deliver a report listing the most likely candidate variants. We focus exclusively on rare disease testing and currently support the Continue reading

The Need to Address the Ensuing Data Explosion is Imminent

Clearly, the DNA sequencing technology has matured and is continuously being optimized for performance while becoming increasingly affordable, thus opening an era of reliable and foreseeable quality data growth demanding high computational resources and data storage. With the rise of varied applications, be it in cancer research, infectious diseases, and other therapy areas, and with the launch of large initiatives (e.g. The Precision Medicine Initiative (PMI)), the need to address the ensuing data explosion is imminent.

Oncology is the dominant sector that currently benefits from next-generation sequencing followed by applications in inherited and rare disease understanding, infectious disease, the microbiome, and others. It is expected that soon, agriculture will also benefit from the technological developments that currently help propel both biomedical research and the clinical sector. Continue reading

Just Released – Our New NGS Data Analysis & Interpretation Ecosystem Analysis Report

Palo Alto, CA, August 22, 2016 – enlightenbio LLC, today announced the publication of its NGS Data Analysis & Interpretation Ecosystem Analysis Report. This new report details an extensive ecosystem analysis of 25 commercial companies in the NGS data analysis and interpretation space, market trends, unmet needs and challenges. The report is unique, in that it is not a predictive market research report, but rather builds on data gathered from many end-user interviews combined with an extensive ecosystem analysis.

ImageReportNGSAnalysisEco

This comparative ecosystem analysis of key commercial data analysis and interpretation tool providers reveals a range of capabilities that uniquely address both secondary and tertiary sequence data analysis needs. At first glance, the value propositions and communication of capabilities may seem overlapping or similar. However, a deeper analysis clearly uncovers substantial differences in the product characteristics related to analysis and interpretation, data management, data sharing and collaboration, reporting of findings, compliance and security mechanisms, and type of content made available for meaningful knowledge extraction.

While this report does not intend to provide direct recommendations to end-users for Continue reading

The Biologists and Clinicians Still Require Hand-Holding When it Comes to Sequence Data Analysis and Interpretation

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Bioinformaticians are a bottleneck and at high demand. They are hard to find, hire, and retain, while typically being an expensive investment. This realization is not new, but has escalated with the sequence data explosion and now puts a huge challenge on commercial tool providers to build optimal analysis and interpretation solutions that will be embraced by biologists and clinicians, i.e. the non-computational scientists. Almost all commercial tool providers state that they offer a solution that is easy to use and requires minimal upfront training. However, reality shows that this is not generally holding true, and biologists/clinicians are still overwhelmed with most offerings in the field. If a solution is too “simplified,” it can’t provide the capabilities required to do a high-quality analysis on complex data. On the flip side, if the solution is too complex, it cannot be deployed and effectively used without training, which is what the field is experiencing. Furthermore, Continue reading

Repositive Wants to Overcome Data Analysis and Sharing Challenges to Facilitate the Advancement of Science

Repositive-logoLast month I had a chance to meet Fiona Nielsen, CEO of Repositive, when she was visiting San Francisco for the BlackBox Connect program. I took this opportunity to learn more about Repositive, the platform the company has built, its intended application, and why data sharing is so important. This blog addresses genomic data questions related to data sharing, challenges encountered with analysis and sharing platforms, and what Repositive is focusing on to mitigate these issues.

The following summarizes questions and answers from my dialogue with Fiona Nielsen.

EB:  What are some of the biggest challenges when it comes to working with genomics data both in the research and the clinical setting, and what are suggested solutions to address these challenges? What are the promises and challenges of sharing clinical and research genomics data?

FN: All research in a data-intensive science is challenging and hard work. There are high demands put on research data management and efficient analysis tools. In addition, within genomics linked to studying human genetic diseases, you have to deal with the extra Continue reading