Results 11 to 20 of about 16,521,028 (347)

ShinyGO: a graphical gene-set enrichment tool for animals and plants [PDF]

Bioinform., 2019
MOTIVATION Gene lists are routinely produced from various genome-wide studies. Enrichment analysis can link these gene lists with underlying molecular pathways and functional categories such as gene ontology (GO) and other databases.
Xijin Ge, Dongmin Jung, Runan Yao
openalex   +2 more sources

DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update)

Nucleic Acids Res., 2022
DAVID is a popular bioinformatics resource system including a web server and web service for functional annotation and enrichment analyses of gene lists. It consists of a comprehensive knowledgebase and a set of functional analysis tools. Here, we report
Brad T. Sherman, Ming Hao, J. Qiu, Xiaoli Jiao, M. Baseler, H. C. Lane, T. Imamichi, Weizhong Chang   +7 more
semanticscholar   +1 more source

The Gene Ontology knowledgebase in 2023

Genetics, 2023
The Gene Ontology (GO) knowledgebase (http://geneontology.org) is a comprehensive resource concerning the functions of genes and gene products (proteins and noncoding RNAs).
Suzi A Aleksander, J. Balhoff, S. Carbon, J. Cherry, H. Drabkin, Dustin Ebert, M. Feuermann, P. Gaudet, N. Harris, D. Hill, Raymond Lee, H. Mi, S. Moxon, C. Mungall, Anushya Muruganugan, Tremayne Mushayahama, P. Sternberg, P. Thomas, K. V. Van Auken, Jolene Ramsey, D. Siegele, R. Chisholm, P. Fey, M. C. Aspromonte, María Victoria Nugnes, F. Quaglia, Silvio C. E. Tosatto, M. Giglio, Suvarna Nadendla, Giulia Antonazzo, H. Attrill, Gilberto dos Santos, Steven J. Marygold, V. Strelets, C. Tabone, Jim Thurmond, Pinglei Zhou, Saadullah H. Ahmed, Praoparn Asanitthong, Diana Luna Buitrago, Meltem N. Erdol, M. Gage, Mohamed Ali Kadhum, Kan Yan Chloe Li, Miao Long, Aleksandra Michalak, Angeline Pesala, Armalya Pritazahra, Shirin C. C. Saverimuttu, Renzhi Su, Kate E. Thurlow, R. Lovering, C. Logie, S. Oliferenko, J. Blake, K. Christie, L. Corbani, M. E. Dolan, H. Drabkin, D. Hill, L. Ni, D. Sitnikov, Cynthia L. Smith, A. Cuzick, James Seager, L. Cooper, J. Elser, P. Jaiswal, Parul Gupta, P. Jaiswal, Sushma Naithani, Manuel Lera-Ramírez, Kim M Rutherford, V. Wood, J. D. De Pons, M. Dwinell, G. Hayman, M. Kaldunski, A. Kwitek, S. Laulederkind, M. Tutaj, M. Vedi, Shur-Jen Wang, P. D’Eustachio, L. Aimo, K. Axelsen, A. Bridge, Nevila Hyka-Nouspikel, A. Morgat, Suzi A Aleksander, J. Cherry, S. Engel, K. Karra, S. Miyasato, R. Nash, M. Skrzypek, S. Weng, E. Wong, E. Bakker, T. Berardini, L. Reiser, A. Auchincloss, K. Axelsen, Ghislaine Argoud-Puy, M. Blatter, E. Boutet, L. Breuza, A. Bridge, Cristina Casals-Casas, E. Coudert, A. Estreicher, M. Famiglietti, M. Feuermann, A. Gos, N. Gruaz-Gumowski, C. Hulo, Nevila Hyka-Nouspikel, F. Jungo, Philippe le Mercier, D. Lieberherr, P. Masson, A. Morgat, I. Pedruzzi, L. Pourcel, S. Poux, C. Rivoire, S. Sundaram, A. Bateman, E. Bowler-Barnett, Hema Bye-A-Jee, Paul Denny, A. Ignatchenko, Rizwan Ishtiaq, A. Lock, Yvonne Lussi, M. Magrane, M. Martin, S. Orchard, Pedro Raposo, Elena Speretta, N. Tyagi, Kate Warner, Rossana Zaru, A. Diehl, Raymond Lee, J. Chan, Stavros Diamantakis, Daniela Raciti, M. Zarowiecki, M. Fisher, Christina James-Zorn, V. Ponferrada, A. Zorn, S. Ramachandran, Leyla Ruzicka, M. Westerfield   +155 more
semanticscholar   +1 more source

Gene Set Knowledge Discovery with Enrichr

Current Protocols, 2021
Profiling samples from patients, tissues, and cells with genomics, transcriptomics, epigenomics, proteomics, and metabolomics ultimately produces lists of genes and proteins that need to be further analyzed and integrated in the context of known biology.
Zhuorui Xie, Allison Bailey, Maxim V. Kuleshov, Daniel J. B. Clarke, J. E. Evangelista, Sherry L. Jenkins, Alexander Lachmann, Megan L. Wojciechowicz, Eryk Kropiwnicki, Kathleen M. Jagodnik, Minji Jeon, Avi Ma’ayan   +11 more
semanticscholar   +1 more source

SCANPY: large-scale single-cell gene expression data analysis

Genome Biology, 2018
Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory ...
F. A. Wolf, Philipp Angerer, Fabian J Theis   +2 more
semanticscholar   +1 more source

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

Nucleic Acids Res., 2016
Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr.
Maxim V. Kuleshov, Matthew R. Jones, Andrew D. Rouillard, Nicolas F. Fernandez, Qiaonan Duan, Zichen Wang, Simon Koplev, Sherry L. Jenkins, Kathleen M. Jagodnik, Alexander Lachmann, Michael G. McDermott, Caroline D. Monteiro, Gregory W. Gundersen, Avi Ma’ayan   +13 more
semanticscholar   +1 more source

GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses

Nucleic Acids Res., 2017
Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions.
Zefang Tang, Chenwei Li, Boxi Kang, Ge Gao, Cheng Li, Zemin Zhang   +5 more
semanticscholar   +1 more source

Spatial reconstruction of single-cell gene expression

Nature Biotechnology, 2015
Spatial localization is a key determinant of cellular fate and behavior, but methods for spatially resolved, transcriptome-wide gene expression profiling across complex tissues are lacking.
R. Satija, J. A. Farrell, David G Gennert, A. Schier, A. Regev   +4 more
semanticscholar   +1 more source

The Work of Political Armadores in Argentina: ‘Behind the Scenes’ Challenges, Instruments and Skills

Íconos, 2018
This article analyses the multi-faceted character of political work based on research on political operators or armadores from the return to democracy onward in Argentina.
Mariana Gené
doaj   +1 more source

KRAS-associated microRNAs in colorectal cancer

Oncology Reviews, 2020
Colorectal cancer (CRC) is one of the leading causes of cancerrelated death worldwide. Despite progress in treatment of cancers, CRC with KRAS mutations are resistant towards anti-EGFR treatment.
Hamizah Ibrahim, Ya Chee Lim
doaj   +1 more source