Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Deepak R Unni"'
Autor:
Nathan A Dunn, Deepak R Unni, Colin Diesh, Monica Munoz-Torres, Nomi L Harris, Eric Yao, Helena Rasche, Ian H Holmes, Christine G Elsik, Suzanna E Lewis
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006790 (2019)
Genome annotation is the process of identifying the location and function of a genome's encoded features. Improving the biological accuracy of annotation is a complex and iterative process requiring researchers to review and incorporate multiple sour
Externí odkaz:
https://doaj.org/article/a63bace4e1f14bf6b82caf4abb1c8606
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:
Deepak R. Unni, Sierra A. T. Moxon, Michael Bada, Matthew Brush, Richard Bruskiewich, J. Harry Caufield, Paul A. Clemons, Vlado Dancik, Michel Dumontier, Karamarie Fecho, Gustavo Glusman, Jennifer J. Hadlock, Nomi L. Harris, Arpita Joshi, Tim Putman, Guangrong Qin, Stephen A. Ramsey, Kent A. Shefchek, Harold Solbrig, Karthik Soman, Anne E. Thessen, Melissa A. Haendel, Chris Bizon, Christopher J. Mungall, The Biomedical Data Translator Consortium
Publikováno v:
Clinical and Translational Science, Vol 15, Iss 8, Pp 1848-1855 (2022)
Abstract Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph‐based data models elucidate the interconnectedness among core biomedical concepts, enable data
Externí odkaz:
https://doaj.org/article/51789557b3144741819afc43c3755e97
Autor:
Md Shamimuzzaman, Jack M. Gardiner, Amy T. Walsh, Deborah A. Triant, Justin J. Le Tourneau, Aditi Tayal, Deepak R. Unni, Hung N. Nguyen, John L. Portwood, Ethalinda K. S. Cannon, Carson M. Andorf, Christine G. Elsik
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
MaizeMine is the data mining resource of the Maize Genetics and Genome Database (MaizeGDB; http://maizemine.maizegdb.org). It enables researchers to create and export customized annotation datasets that can be merged with their own research data for
Externí odkaz:
https://doaj.org/article/935a021f828f43fdac4026c1c4dfc41c
Autor:
Charles Tapley Hoyt, Meghan Balk, Tiffany J. Callahan, Daniel Domingo-Fernández, Melissa A. Haendel, Harshad B. Hegde, Daniel S. Himmelstein, Klas Karis, John Kunze, Tiago Lubiana, Nicolas Matentzoglu, Julie McMurry, Sierra Moxon, Christopher J. Mungall, Adriano Rutz, Deepak R. Unni, Egon Willighagen, Donald Winston, Benjamin M. Gyori
Publikováno v:
Scientific data, 9(1):714. Nature Publishing Group
Scientific data, vol 9, iss 1
Scientific data, vol 9, iss 1
The standardized identification of biomedical entities is a cornerstone of interoperability, reuse, and data integration in the life sciences. Several registries have been developed to catalog resources maintaining identifiers for biomedical entities
Autor:
Nicole A Vasilevsky, Nicolas A Matentzoglu, Sabrina Toro, Joseph E Flack, Harshad Hegde, Deepak R Unni, Gioconda F Alyea, Joanna S Amberger, Larry Babb, James P Balhoff, Taylor I Bingaman, Gully A Burns, Orion J Buske, Tiffany J Callahan, Leigh C Carmody, Paula Carrio Cordo, Lauren E Chan, George S Chang, Sean L Christiaens, Michel Dumontier, Laura E Failla, May J Flowers, H. Alpha Garrett, Jennifer L Goldstein, Dylan Gration, Tudor Groza, Marc Hanauer, Nomi L Harris, Jason A Hilton, Daniel S Himmelstein, Charles Tapley Hoyt, Megan S Kane, Sebastian Köhler, David Lagorce, Abbe Lai, Martin Larralde, Antonia Lock, Irene López Santiago, Donna R Maglott, Adriana J Malheiro, Birgit H M Meldal, Monica C Munoz-Torres, Tristan H Nelson, Frank W Nicholas, David Ochoa, Daniel P Olson, Tudor I Oprea, David Osumi-Sutherland, Helen Parkinson, Zoë May Pendlington, Ana Rath, Heidi L Rehm, Lyubov Remennik, Erin R Riggs, Paola Roncaglia, Justyne E Ross, Marion F Shadbolt, Kent A Shefchek, Morgan N Similuk, Nicholas Sioutos, Damian Smedley, Rachel Sparks, Ray Stefancsik, Ralf Stephan, Andrea L Storm, Doron Stupp, Gregory S Stupp, Jagadish Chandrabose Sundaramurthi, Imke Tammen, Darin Tay, Courtney L Thaxton, Eloise Valasek, Jordi Valls-Margarit, Alex H Wagner, Danielle Welter, Patricia L Whetzel, Lori L Whiteman, Valerie Wood, Colleen H Xu, Andreas Zankl, Xingmin Aaron Zhang, Christopher G Chute, Peter N Robinson, Christopher J Mungall, Ada Hamosh, Melissa A Haendel
There are thousands of distinct disease entities and concepts, each of which are known by different and sometimes contradictory names. The lack of a unified system for managing these entities poses a major challenge for both machines and humans that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb95e9f275c4c5ac6590aa22f6896dbb
https://doi.org/10.1101/2022.04.13.22273750
https://doi.org/10.1101/2022.04.13.22273750
Autor:
Justin T. Reese, Deepak R. Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall, Sarah Callaghan
Publikováno v:
SSRN Electronic Journal.
Integrated, up-to-date data about SARS-CoV-2 and coronavirus disease 2019 (COVID-19) is crucial for the ongoing response to the COVID-19 pandemic by the biomedical research community. While rich biological knowledge exists for SARS-CoV-2 and related
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1757
The Bovine Genome Database (BGD; http://bovinegenome.org ) is a web-accessible resource that supports bovine genomics research by providing genome annotation and data mining tools. BovineMine is a tool within BGD that integrates BGD data, including t
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1757
The Hymenoptera Genome Database (HGD; http://hymenopteragenome.org ) is a genome informatics resource for insects of the order Hymenoptera, which includes bees, ants and wasps. HGD provides genome browsers with manual annotation tools (JBrowse/Apollo