نتایج جستجو برای: لاگ ngs

تعداد نتایج: 5426  

Journal: :Blood 2015
Michael A Pulsipher Chris Carlson Bryan Langholz Donna A Wall Kirk R Schultz Nancy Bunin Ilan Kirsch Julie M Gastier-Foster Michael Borowitz Cindy Desmarais David Williamson Michael Kalos Stephan A Grupp

Positive detection of minimal residual disease (MRD) by multichannel flow cytometry (MFC) prior to hematopoietic cell transplantation (HCT) of patients with acute lymphoblastic leukemia (ALL) identifies patients at high risk for relapse, but many pre-HCT MFC-MRD negative patients also relapse, and the predictive power MFC-MRD early post-HCT is poor. To test whether the increased sensitivity of ...

2016
Matthew C. Hiemenz Stephan Kadauke David B. Lieberman David B. Roth Jianhua Zhao Christopher D. Watt Robert D. Daber Jennifer J. D. Morrissette

Next-generation sequencing (NGS) is a powerful platform for identifying cancer mutations. Routine clinical adoption of NGS requires optimized quality control metrics to ensure accurate results. To assess the robustness of our clinical NGS pipeline, we analyzed the results of 304 solid tumor and hematologic malignancy specimens tested simultaneously by NGS and one or more targeted single-gene te...

Journal: :Human immunology 2015
Steven J Mack Robert P Milius Benjamin D Gifford Jürgen Sauter Jan Hofmann Kazutoyo Osoegawa James Robinson Mathijs Groeneweg Gregory S Turenchalk Alex Adai Cherie Holcomb Erik H Rozemuller Maarten T Penning Michael L Heuer Chunlin Wang Marc L Salit Alexander H Schmidt Peter R Parham Carlheinz Müller Tim Hague Gottfried Fischer Marcelo Fernandez-Viňa Jill A Hollenbach Paul J Norman Martin Maiers

The development of next-generation sequencing (NGS) technologies for HLA and KIR genotyping is rapidly advancing knowledge of genetic variation of these highly polymorphic loci. NGS genotyping is poised to replace older methods for clinical use, but standard methods for reporting and exchanging these new, high quality genotype data are needed. The Immunogenomic NGS Consortium, a broad collabora...

2015
Seokjin Im HeeJoung Hwang Jinsong Ouyang

Cloud computing implemented in conjunction with next generation communication technologies has brought about many changes in the field that utilizes enormous computing power. Especially in the field of biomedical sciences, the computing environment allows for quick analysis of next-generation sequencing (NGS) data by providing flexible and nearly unlimited computing resources. In cases where da...

2017
Ulrike Koitzsch Carina Heydt Hans Attig Isabelle Immerschitt Sabine Merkelbach-Bruse Alessandro Fammartino Reinhard H Büttner Yi Kong Margarete Odenthal

Despite its successful use in academic research, next-generation sequencing (NGS) still represents many challenges for routine clinical adoption due to its inherent complexity and specialised expertise typically required to set-up, test and operate a complete workflow.This study aims to evaluate QIAGEN's newly launched GeneReader NGS System solution in a pathology laboratory setting by assessin...

Introduction: The precision and time required for analysis of data in next-generation sequencing (NGS) depends on many factors including the tools utilized for alignment, variant calling, annotation and filtering of variants, personnel expertise in data analysis and interpretation, and computational capacity of the lab and its optimization is a challenging task.  Method: An application software...

2017
Yair Motro Jacob Moran-Gilad

With the rapid advances in next generation sequencing (NGS) technologies, clinical and public health microbiology laboratories are increasingly adopting NGS technology in their workflows into their existing diagnostic cycles. In this bacteriology focused review, we review aspects and considerations for applying NGS in the clinical microbiology settings, and highlight the impact of such implemen...

2015
Jacob Moran-Gilad Vitali Sintchenko Susanne Karlsmose Pedersen William J Wolfgang James Pettengill Errol Strain Rene S Hendriksen

The advent of next-generation sequencing (NGS) has revolutionised public health microbiology. Given the potential impact of NGS, it is paramount to ensure standardisation of 'wet' laboratory and bioinformatic protocols and promote comparability of methods employed by different laboratories and their outputs. Therefore, one of the ambitious goals of the Global Microbial Identifier (GMI) initiati...

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