Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Christian Pich"'
Autor:
Ulrik Brandes, Christian Pich
Publikováno v:
Journal of Social Structure, Vol 12, Iss 1 (2011)
Externí odkaz:
https://doaj.org/article/9ca73c092eb04ac993d00ad4ec775bd1
Autor:
Yvonne M Bradford, Ceri E Van Slyke, Douglas G Howe, David Fashena, Ken Frazer, Ryan Martin, Holly Paddock, Christian Pich, Sridhar Ramachandran, Leyla Ruzicka, Amy Singer, Ryan Taylor, Wei-Chia Tseng, Monte Westerfield
Publikováno v:
GENETICS. 224
Danio rerio is a model organism used to investigate vertebrate development. Manipulation of the zebrafish genome and resultant gene products by mutation or targeted knockdown has made the zebrafish a good system for investigating gene function, provi
Autor:
Yvonne M. Bradford, Ceri E. Van Slyke, Douglas G. Howe, David Fashena, Ken Frazer, Ryan Martin, Holly Paddock, Christian Pich, Sridhar Ramachandran, Leyla Ruzicka, Amy Singer, Ryan Taylor, Wei-Chia Tseng, Monte Westerfield
Danio reriois a model organism used to investigate vertebrate development. Manipulation of the zebrafish genome and resultant gene products by mutation or targeted knockdown has made the zebrafish a good system for investigating gene function, provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa29bdc0f75914480f9ae0470ebb4c03
https://doi.org/10.1101/2022.12.05.519159
https://doi.org/10.1101/2022.12.05.519159
Autor:
Douglas G. Howe, Christian Pich, Yvonne M. Bradford, Ken Frazer, David Fashena, Ceri E. Van Slyke, Holly Paddock, Sridhar Ramachandran, Amy Singer, Leyla Ruzicka, Ryan Martin, Anne E. Eagle, Monte Westerfield
Publikováno v:
Genetics. 220(4)
The Zebrafish Information Network (zfin.org) is the central repository for Danio rerio genetic and genomic data. The Zebrafish Information Network has served the zebrafish research community since 1994, expertly curating, integrating, and displaying
Publikováno v:
Research Ideas and Outcomes, Vol 10, Iss , Pp 1-12 (2024)
This paper presents a use-case conducted within the ENVRI FAIR project, examining challenges and opportunities in deploying FAIR-aligned (ensuring Findability, Accessibility, Interoperability and Reusability) scientific name-matching services across
Externí odkaz:
https://doaj.org/article/00bbaae427a14eae977c3c5dab6f9f95
Autor:
Adam Wright, Paul W. Sternberg, Daniela Raciti, Monika Tutaj, Josh Goodman, Ken Frazer, Paul Thomas, Scott Cain, Raymond Lee, Judith A. Blake, Patrick Kalita, Ajay Shrivatsav, Julie Agapite, Marek S. Skrzypek, Hans-Michael Mueller, Wen J. Chen, Karen Yook, Gillian Millburn, Joanna Argasinska, David Fashena, Kevin Schaper, Joel E. Richardson, Douglas G. Howe, Barbara Dunn, Yvonne M. Bradford, Nathan Dunn, Jaehyoung Cho, Ranjana Kishore, Kalpana Karra, Sabrina Toro, Anne E. Eagle, Norbert Perrimon, Anushya Muruganujan, Beverley B. Matthews, Christian A. Grove, Edith D. Wong, Monte Westerfield, Olin Blodgett, Gary Williams, Jose-Maria Urbano, Marie-Claire Harrison, Steven J Marygold, Tremayne Mushayahama, Marek Tutaj, Susan Russo Gelbart, Jennifer R. Smith, Felix Gondwe, Dustin Ebert, Juancarlos Chan, J. Michael Cherry, Ceri E. Van Slyke, Christopher J. Tabone, L. Sian Gramates, Madeline A. Crosby, Robert S. Nash, Kevin A. MacPherson, Patrick Ng, Christian Pich, Suzi Aleksander, Monika Tomczuk, Brian R. Calvi, Todd W. Harris, Cynthia L. Smith, Stan Laulederkind, Jyothi Thota, Gilberto dos Santos, Matt Simison, Kimberly Van Auken, Mary E. Dolan, Karen R. Christie, Stacia R. Engel, Leyla Ruzicka, Carol J. Bult, Kevin L. Howe, Stuart R. Miyasato, Shur-Jen Wang, David R. Shaw, Mary Shimoyama, Valerio Arnaboldi, Matthew Russell, Michael Paulini, Sibyl Gao, Sagar Jha, Jeff De Pons, Christopher J. Mungall, Seth Carbon, James A. Kadin, Sierra A. T. Moxon, Susan M. Bello, Thomas C. Kaufman, Laurent-Philippe Albou, Shuai Weng, Helen Attrill
Publikováno v:
Nucleic Acids Research
The Alliance of Genome Resources (Alliance) is a consortium of the major model organism databases and the Gene Ontology that is guided by the vision of facilitating exploration of related genes in human and well-studied model organisms by providing a
Autor:
Ryan Martin, Sabrina Toro, Holly Paddock, Anne E. Eagle, Patrick Kalita, Monte Westerfield, Yvonne M. Bradford, David Fashena, Xiang Shao, Christian Pich, Prita Mani, Sierra A. T. Moxon, Sridhar Ramachandran, Douglas G. Howe, Ceri E. Van Slyke, Kevin Schaper, Ken Frazer, Amy Singer, Leyla Ruzicka
Publikováno v:
Nucleic Acids Research
The Zebrafish Information Network (ZFIN) (https://zfin.org/) is the database for the model organism, zebrafish (Danio rerio). ZFIN expertly curates, organizes and provides a wide array of zebrafish genetic and genomic data, including genes, alleles,
Autor:
Rocio Grajales-Alvarez, Alicia Gutiérrez-Mata, Christian Pichardo-Piña, Marcos Gutiérrez-De la Barrera, Karim Dip-Borunda
Publikováno v:
JCO Global Oncology, Vol , Iss 10 (2024)
PURPOSEThe Instituto Mexicano del Seguro Social is a tripartite contribution providing care to more than 74 million beneficiaries, representing more than 50% of the country's general population. This study aims to describe the survival outcomes and c
Externí odkaz:
https://doaj.org/article/e79ec1454ea74e88b0051dd9ac17b315
Autor:
Frederic Jean, Hendrik Davi, Sylvie Oddou-Muratorio, Bruno Fady, Ivan Scotti, Caroline Scotti-Saintagne, Julien Ruffault, Valentin Journe, Philippe Clastre, Olivier Marloie, William Brunetto, Marianne Correard, Olivier Gilg, Mehdi Pringarbe, Franck Rei, Jean Thevenet, Norbert Turion, Christian Pichot
Publikováno v:
Annals of Forest Science, Vol 80, Iss 1, Pp 1-12 (2023)
Key message Phenology is of increasing interest to climate change science and adaptation ecology. Here, we provide bud development, leafing, and leaf senescence data, collected on 772 European beech and silver fir trees between 2006 and 2019 on Mont
Externí odkaz:
https://doaj.org/article/fda90250ec774c2fa671b82412af9e50
Autor:
Christian Pich, Ulrik Brandes
Publikováno v:
Journal of Social Structure, Vol 12, Iss 1 (2011)
We propose a visual representation of bibliographic data based on shared references. Our method employs a distance metric that is derived from bibliographic coupling and then subjected to fast approximate multidimensional scaling. Its utility is demo