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Agilent Technologies Presents Award to Dr. Roeland Verhaak for Work in Big Data Analysis

Agilent Technologies
18 Oct 2016
Lois Manton-O'Byrne, PhD
Executive Editor

Industry news

Agilent Technologies Inc. has named Roeland G.W. Verhaak, Ph.D., as the winner of the company’s prestigious Early Career Professor Award.

Dr. Verhaak has been selected for his contributions to the implementation of transcriptomics, genomics, and big-data analysis to the classification and diagnosis of various cancer types, including acute myeloid leukemia and glioblastoma. His approach and results spearheaded the implementation of the molecular analysis of cancer.

Dr. Verhaak recently joined The Jackson Laboratory (JAX) as professor and associate director of computational biology.

“Dr. Verhaak is recognized internationally for the development and implementation of workflows for the analysis of big-data from transcriptomics to next generation sequencing approaches. His data-driven, unbiased analyses of cancer genomics and profound understanding of cancer biology are improving our ability to identify clinically relevant subtypes of cancer,” said Jack Wenstrand, Agilent's director of university relations and external research. "Agilent is pleased to recognize Dr. Verhaak with this award and to support his important research at JAX."

“We’re so pleased that Dr. Verhaak has received this prestigious award in recognition of his outstanding work in advancing human health,” said Charles Lee, Ph.D., FACMG, scientific director and professor at JAX Genomic Medicine.

The annual Agilent Early Career Professor Award was established in 2008. Through this award, Agilent seeks to recognize the achievements of academic researchers in the early stages of their careers and to establish strong collaborative relationships with them early in their professional lives. This award underscores Agilent's commitment to furthering research through the company's products and services, financial support, and collaborative engagement by Agilent scientists and engineers.

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Genome AnalysisGenomics, the study of genomes, includes functional genomics, evolutionary genomics and comparative genomics. There are many genomic technologies such as DNA sequencing of whole genomes, computational biology and bioinformatics. DNA and nucleic acids must be isolated and concentrated from cells for analysis with kits, automated analyzers and software. Other useful technologies for studying genomics include PCR, microarrays and electrophoresis.ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Cellular PathologyCellular Pathology deals with the microscopic analysis of tissue samples and cells. Sample preparation and processing includes fixation, staining, sectioning and slide mounting, using equipment such microtomes and cryostats. In choosing immunohistochemistry and immunocytochemistry kits, consider chromogens, staining method, antibodies, microscopes and imaging.DNA SequencingDNA sequencing, such as sanger sequencing, is a biological technique that determines the precise order of nucleotide bases in a fragment or template of DNA. DNA sequencers and genetic analyzers are based on capillary electrophoresis, where labeled DNA fragments are electrophoretically separated by size as they migrate through a polymer. Find the best DNA sequencing products, including DNA sequencing kits, genomic libraries and genetic identity kits in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Next Generation SequencingNext-generation sequencing (NGS), also known as whole-genome sequencing, high-throughput sequencing and massive parallel sequencing, produces and analyses thousands to millions of nucleotide sequences at once. Sequencing systems operate via varying technologies depending on the manufacturer, including sequencing by synthesis, ligation, pyrosequencing, ion semiconductor and single-molecule real-time sequencing. For NGS, library preparation is paramount to successful sequencing. In this section, explore a range of library preparation kits, from targeted, amplicon-based or hybridization-based kits including epigenomic, transcriptomic and genomic workflows to fragmentation kits. Find the best next-generation sequencing products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.TranscriptomicsMolecular DiagnosticsMolecular diagnostics use an individual’s genetic code and gene expression to diagnose and monitor diseases. The technique is used increasingly in the field of infectious diseases and oncology, as well as areas such as coagulation, HLA typing and pharmacogenomics. Molecular diagnostics plays a pivotal role in personalized medicine.Big DataBig data is described as data sets that are extremely large and complex, and can be challenging to process.Cancer ResearchAlthough cancer is often referred to as a single condition, it actually consists of more than 100 different diseases. Microscopy, mass spectrometry, high throughput sequencing and flow cytometry are some of the most common techniques employed in cancer research labs.

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Agilent Technologies Presents Award to Dr. Roeland Verhaak for Work in Big Data Analysis