Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Marcin P Joachimiak"'
Autor:
Marcin P Joachimiak
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 15, Iss 1, p e0008895 (2021)
A wide variety of symptoms is associated with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, and these symptoms can overlap with other conditions and diseases. Knowing the distribution of symptoms across diseases and individu
Externí odkaz:
https://doaj.org/article/59137bd56082422f978bc17746258247
Autor:
Sabrina Toro, Anna V. Anagnostopoulos, Susan M. Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, Damion M. Dooley, William D. Duncan, Petra Fey, Pascale Gaudet, Nomi L. Harris, Marcin P. Joachimiak, Leila Kiani, Tiago Lubiana, Monica C. Munoz-Torres, Shawn O‘Neil, David Osumi-Sutherland, Aleix Puig-Barbe, Justin T. Reese, Leonore Reiser, Sofia MC. Robb, Troy Ruemping, James Seager, Eric Sid, Ray Stefancsik, Magalie Weber, Valerie Wood, Melissa A. Haendel, Christopher J. Mungall
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Background Ontologies are fundamental components of informatics infrastructure in domains such as biomedical, environmental, and food sciences, representing consensus knowledge in an accurate and computable form. However, their construction
Externí odkaz:
https://doaj.org/article/d2e5c04897b04c518fa065aab65ad77e
Autor:
Joshua Ladau, Eoin L. Brodie, Nicola Falco, Ishan Bansal, Elijah B. Hoffman, Marcin P. Joachimiak, Ana M. Mora, Angelica M. Walker, Haruko M. Wainwright, Yulun Wu, Mirko Pavicic, Daniel Jacobson, Matthias Hess, James B. Brown, Katrina Abuabara
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 2, Pp 634-643 (2024)
Objectives: We aim to estimate geographic variability in total numbers of infections and infection fatality ratios (IFR; the number of deaths caused by an infection per 1,000 infected people) when the availability and quality of data on disease burde
Externí odkaz:
https://doaj.org/article/f319489268a0448ca817662d6bc9ed64
Autor:
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya B. Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner, Lawrence E. Hunter
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-22 (2024)
Abstract Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenge
Externí odkaz:
https://doaj.org/article/2ba11bcf971c40478fb1f6a852218703
Autor:
Swapnil R Chhabra, Marcin P Joachimiak, Christopher J Petzold, Grant M Zane, Morgan N Price, Sonia A Reveco, Veronica Fok, Alyssa R Johanson, Tanveer S Batth, Mary Singer, John-Marc Chandonia, Dominique Joyner, Terry C Hazen, Adam P Arkin, Judy D Wall, Anup K Singh, Jay D Keasling
Publikováno v:
PLoS ONE, Vol 6, Iss 6, p e21470 (2011)
Protein-protein interactions offer an insight into cellular processes beyond what may be obtained by the quantitative functional genomics tools of proteomics and transcriptomics. The aforementioned tools have been extensively applied to study Escheri
Externí odkaz:
https://doaj.org/article/db57e60d8340453580020551cc7718b3
Autor:
Shibu Yooseph, Granger Sutton, Douglas B Rusch, Aaron L Halpern, Shannon J Williamson, Karin Remington, Jonathan A Eisen, Karla B Heidelberg, Gerard Manning, Weizhong Li, Lukasz Jaroszewski, Piotr Cieplak, Christopher S Miller, Huiying Li, Susan T Mashiyama, Marcin P Joachimiak, Christopher van Belle, John-Marc Chandonia, David A Soergel, Yufeng Zhai, Kannan Natarajan, Shaun Lee, Benjamin J Raphael, Vineet Bafna, Robert Friedman, Steven E Brenner, Adam Godzik, David Eisenberg, Jack E Dixon, Susan S Taylor, Robert L Strausberg, Marvin Frazier, J Craig Venter
Publikováno v:
PLoS Biology, Vol 5, Iss 3, p e16 (2007)
Metagenomics projects based on shotgun sequencing of populations of micro-organisms yield insight into protein families. We used sequence similarity clustering to explore proteins with a comprehensive dataset consisting of sequences from available da
Externí odkaz:
https://doaj.org/article/d3c8becc5a9947e1bccad4901b6de6ec
Autor:
Brook E. Santangelo, Madison Apgar, Angela Sofia Burkhart Colorado, Casey G. Martin, John Sterrett, Elena Wall, Marcin P. Joachimiak, Lawrence E. Hunter, Catherine A. Lozupone
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Advances in high-throughput technologies have enhanced our ability to describe microbial communities as they relate to human health and disease. Alongside the growth in sequencing data has come an influx of resources that synthesize knowledge surroun
Externí odkaz:
https://doaj.org/article/1c818083da77485aa6fa98f555a8c6ab
Autor:
Helen Park, Marcin P. Joachimiak, Sean P. Jungbluth, Ziming Yang, William J. Riehl, R. Shane Canon, Adam P. Arkin, Paramvir S. Dehal
Publikováno v:
mSystems, Vol 9, Iss 1 (2024)
ABSTRACTMicrobial communities have evolved to colonize all ecosystems of the planet, from the deep sea to the human gut. Microbes survive by sensing, responding, and adapting to immediate environmental cues. This process is driven by signal transduct
Externí odkaz:
https://doaj.org/article/a625ab5429de49c5ae5cd1501a9ffcc7
Publikováno v:
Scientometrics. 127:2313-2349
Multiple studies have investigated bibliometric factors predictive of the citation count a research article will receive. In this article, we go beyond bibliometric data by using a range of machine learning techniques to find patterns predictive of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac59497e5bce2c9cb928a5fd60df3678
https://doi.org/10.1007/s11192-022-04314-9
https://doi.org/10.1007/s11192-022-04314-9
Biclustering can reveal functional patterns in common biological data such as gene expression. Biclusters are ordered submatrices of a larger matrix that represent coherent data patterns. A critical requirement for biclusters is high coherence across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda32dcd090b1a3d575c254172f0322c
https://doi.org/10.1101/2022.08.26.505372
https://doi.org/10.1101/2022.08.26.505372
