Accelerating Your PacBio Workflows with DNAnexus and Sentieon
Genome sequencing and analysis allow researchers to decode the functional information hidden in DNA sequences as well as to study cell to cell variation within a cell population. Traditionally, the primary bottleneck in genomic analysis pipelines has been the sequencing itself, which has been much more expensive than the computational analyses that follow. However, an important consequence of the continued drive to expand the throughput of sequencing platforms at lower cost is that often the analytical pipelines are struggling to keep up with the sheer amount of raw data produced. Computational cost and efficiency have thus become of ever increasing importance.
Join PacBio, Sentieon and DNAnexus to learn:
How you can accelerate your workflows with a scalable infrastructure, using powerful variant calling algorithms to process and analyze massive genomic datasets in a few hours versus days.
How to enhance data security and privacy by ensuring that sensitive genomic data remains protected throughout the entire analysis process.
How to combine disparate datasets to better equip professionals with the tools they need to decipher individual genomic profiles and deliver targeted treatments, ultimately leading to improved patient outcomes and a more efficient healthcare system
The partnership between DNAnexus, PacBio and Sentieon represents an exciting convergence of innovation and expertise, allowing researchers and clinicians to unlock the full potential of genomic data, leading to a future where precision medicine is at the forefront of patient care.
Don Freed is a Senior Bioinformatics Scientist at Sentieon, Inc. and is passionate about genomic discovery. Prior to joining Sentieon, Don performed graduate research at the Johns Hopkins School of Medicine and the Kennedy Krieger Institute where he studied the connection between somatic mosaic mutations and autism spectrum disorder.
Nirav leads the Solutions Science team at DNAnexus, working closely with customers to help them build use-case driven solutions for their bioinformatics needs in precision medicine. Prior to joining DNAnexus, Nirav obtained his Ph.D. in Genetics and Development at Cornell University, and subsequently held postdoctoral and research associate positions at University of North Carolina, Chapel Hill and North Carolina State University. Through these positions, Nirav combined classical developmental biology training with modern bioinformatics tools to investigate transcriptional cascades that contribute to various aspects of organ development. Nirav has diverse experience in the bioinformatics software space, applying his knowledge in R&D as well as leading a Professional Services team that helped researchers in pharmaceutical and academic settings analyze and interpret large multi-omic data analyses.
Xiao Chen is a principal bioinformatics scientist at PacBio. She develops bioinformatics tools to resolve highly homologous regions of the human genome. She has a B.S. in Biochemistry and Molecular Biology from Hong Kong University of Science and Technology and a Ph.D. in Molecular Biology, Bioinformatics, and Computational Biology from Princeton University.
Guilherme De Sena Brandine is a bioinformatics scientist at PacBio. He develops tools to detect and genotype pathogenic tandem repeat expansions and creates workflows for targeted assays to facilitate automated analysis from sequence to insight. He has a Ph.D. in Computational Biology from the University of Southern California. His Ph.D. thesis was a novel algorithms and software tool to efficiently map reads from the whole genome bisulfite sequencing assay, which is used to study DNA methylation genome-wide using short reads.
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