Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Daniel J Quest"'
Autor:
Konstantinos Mavromatis, Miriam L Land, Thomas S Brettin, Daniel J Quest, Alex Copeland, Alicia Clum, Lynne Goodwin, Tanja Woyke, Alla Lapidus, Hans Peter Klenk, Robert W Cottingham, Nikos C Kyrpides
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e48837 (2012)
BackgroundThe emergence of next generation sequencing (NGS) has provided the means for rapid and high throughput sequencing and data generation at low cost, while concomitantly creating a new set of challenges. The number of available assembled micro
Externí odkaz:
https://doaj.org/article/9b63d13f585d4aad871da6726ffa660e
Autor:
Yaxiong Lin, Nirmal Chhugani, Shusaku W. Asai, Brian Wright, Gabriel Demuth, Dennis H. Murphree, Curtis B. Storlie, Patrick M. Wilson, Vitaly Herasevich, Jacob J. Strand, Daniel J. Quest, Brian W. Pickering, Piyush Mukherjee, Andrew M. Harrison, David W. Mead, Jalal Soleimani
Publikováno v:
J Am Med Inform Assoc
Objective Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address
Publikováno v:
EMBC
Despite dramatic progress in the application of predictive modeling and data mining techniques to problems in modern medicine, a major challenge facing technical practitioners is that of delivering models to clinicians. We have developed an easily im
Autor:
Jean-Pierre A. Kocher, Steven N. Hart, Michael A. Meiners, Daniel J. Quest, Asif Hossain, Patrick H. Duffy
Publikováno v:
Briefings in Bioinformatics
Next-generation sequencing platforms are widely used to discover variants associated with disease. The processing of sequencing data involves read alignment, variant calling, variant annotation and variant filtering. The standard file format to hold
Autor:
Heidi Nelson, Patricio Jeraldo, Angela J. Taylor, Nicholas Chia, Travis M. Drucker, Daniel J. Quest, Jun Chen, Robin Patel, Julie A. Johnson, Scott A. Cunningham, Gregory D. Jenkins, Dave Boxrud
Publikováno v:
Journal of clinical microbiology. 55(6)
Whole-genome sequencing (WGS) can provide excellent resolution in global and local epidemiological investigations of Staphylococcus aureus outbreaks. A variety of sequencing approaches and analytical tools have been used; it is not clear which is ide
Autor:
Patricio Jeraldo, Daniel R. O'Brien, Bruce W. Eckloff, Daniel J. Quest, Robin Patel, Nicholas Chia, Robert A. Sikkink, Scott A. Cunningham
Publikováno v:
Genome Announcements
We report on nine draft genomes of Pseudomonas aeruginosa isolates, assembled using a hybrid paired-end and Nextera mate-pair library approach. Eight are of clinical origin, and one is the ATCC 27853 strain. We also report their multilocus sequence t
Autor:
Nicholas Chia, Scott A. Cunningham, Alexander G. Theofiles, Daniel J. Quest, Jayawant N. Mandrekar, Robin Patel, Patricio Jeraldo
To describe clinical and laboratory findings from the 2012 southeastern Minnesota pertussis outbreak.Patients were selected for 2 parts of the study. In the first part, nasopharyngeal swabs from a convenience sample of 265 unique patients were used f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f76967880813667c6155534fd9e0a65
https://europepmc.org/articles/PMC4400804/
https://europepmc.org/articles/PMC4400804/
Autor:
Steven N. Hart, Raymond Moore, Jean-Pierre A. Kocher, Valentin Dinu, Patrick H. Duffy, Daniel J. Quest, David N. Rider, Michael A. Meiners, Asif Hossain
Publikováno v:
Bioinformatics
Motivation: The Biological Reference Repository (BioR) is a toolkit for annotating variants. BioR stores public and user-specific annotation sources in indexed JSON-encoded flat files (catalogs). The BioR toolkit provides the functionality to combine
Autor:
Richard L. Stouder, Xiaohui Cui, Thomas Brettin, Daniel J. Quest, Songhua Xu, Laura L. Pullum
Publikováno v:
SC Companion
Autor:
Hesham Ali, Daniel J. Quest
Publikováno v:
Methods in Molecular Biology ISBN: 9781607618539
Predicting transcription factor binding sites (TFBS) from sequence is one of the most challenging problems in computational biology. The development of (semi-)automated computer-assisted prediction methods is needed to find TFBS over an entire genome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e9519e80d346d80a3aa483ca3a27cdf
https://doi.org/10.1007/978-1-60761-854-6_8
https://doi.org/10.1007/978-1-60761-854-6_8