Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Naim Al Mahi"'
Autor:
Mohammud M Alam, Sawsan Fathma, Ziauddin Ahmed, Saborny Mahmud, Siddiqi M Haque, Mohammed S Shibli, Sandeep Aggarwal, Sharothy Mahmud, Naim Al Mahi
Publikováno v:
Cureus
Importance Coronavirus disease 2019 (COVID-19) outbreaks are frequent occurrences in nursing homes and long-term care facilities (LTCFs), resulting in subsequent hospitalization and death. Rationale Virus-neutralizing monoclonal antibodies demonstrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf64c19ca97f87d9164ae9afe9919ae1
https://doi.org/10.7759/cureus.14933
https://doi.org/10.7759/cureus.14933
Autor:
Bram Verstockt, Naim Al Mahi, Valerie L. Pivorunas, Nizar Smaoui, Heath M. Guay, Nicholas A. Kennedy, Stephen B. Hanauer, Marc Ferrante, Julian Panés, Séverine Vermeire
Publikováno v:
Gastroenterology. 162:S-969
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b34b6e42be06ff2445dd852cf69f1dad
https://doi.org/10.1016/s0016-5085(22)62295-9
https://doi.org/10.1016/s0016-5085(22)62295-9
Publikováno v:
Journal of Biomedical Analytics. 1:55-70
One of the main objectives of many biological studies is to explore differential gene expression profiles between samples. Genes are referred to as differentially expressed (DE) if the read counts change across treatments or conditions systematically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b07130119b01642538a2153b732c5733
https://doi.org/10.30577/jba.2018.v1n2.23
https://doi.org/10.30577/jba.2018.v1n2.23
Autor:
Nicholas A. Clark, Marc R. Birtwistle, Jennifer E. Van Eyk, Moshe C. Silverstein, Caitlin E. Mills, Mario Niepel, Marcin Pilarczyk, Alexander Lachmann, Elizabeth H. Williams, Simon Koplev, Nathanael S. Gray, Uzma Hussain, Albert Lee, Ajay Pillai, Edward He, Mark A. Dane, Evren U. Azeloglu, Dusica Vidovic, Jeannette Osterloh, Maria G. Banuelos, Maxim V. Kuleshov, Rick J. Koch, Stephan C. Schürer, Karen Sachs, Damir Sudar, Divya Ramamoorthy, Dhruv Sareen, Shana White, Heidi S. Feiler, Siva Sivaganesan, Kathleen M. Jagodnik, Clive N. Svendsen, Mohammad Fallahi-Sichani, Miriam Adam, Jaroslaw Meller, Todd R. Golub, Ravi Iyengar, Jennifer Stocksdale, Amar Koleti, David Wrobel, Sherry L. Jenkins, Jacob D. Jaffe, Alexandra B Keenan, Renan Escalante-Chong, Daniel J. Cooper, Loren Ornelas, Joe W. Gray, Alexander LeNail, Ritchie Ho, Alyssa Coye, Avi Ma'ayan, Steve Finkbiener, Lixia Zhang, Andrea Matlock, Eric A. Sobie, Vidya Venkatraman, Anders B. Dohlman, Jeffrey D. Rothstein, Michele Forlin, Jonathan Z. Li, Rebecca Smith, Naim Al Mahi, Kaylyn Devlin, Caty Chung, Marc Hafner, Malvina Papanastasiou, Wen Niu, Michal Kouril, Ryan G. Lim, Yan Ren, Julia A. Kaye, Malcolm Casale, Jie Wu, Mario Medvedovic, Jeremy L. Muhlich, Victoria Dardov, Jouzas Vasiliauskas, Kelly Haston, Caroline E. Shamu, Raymond Terryn, John F. Reichard, Michel Nederlof, David Kilburn, Leslie M. Thompson, Jia-Ren Lin, Vasileios Stathias, Zichen Wang, Behrouz Shamsaei, James E. Korkola, Pamela Milani, Berhan Mandefro, Terri G. Thompson, Laura M. Heiser, Gavin Daigle, Denis Torre, Ron Margolis, Aravind Subramanian, Elmar Bucher, Sean D. Erickson, Ernest Fraenkel, Jaslin Kalra, Mark A. LaBarge, Gordon B. Mills, Peter K. Sorger, Sean M. Gross, Leslie Derr, Mehdi Fazel
Publikováno v:
Cell Systems. 6:13-24
The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program that catalogs how human cells globally respond to chemical, genetic, and disease perturbations. Resources generated by LINCS include experimental and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e6db8bbc9afc2e0643a000d0253b2b
https://doi.org/10.1016/j.cels.2017.11.001
https://doi.org/10.1016/j.cels.2017.11.001
Autor:
Caty Chung, Nicholas A. Clark, Michele Forlin, John Paul Turner, Christopher C. Mader, Mehdi Fazel, Sherry L. Jenkins, Amar Koleti, Naim Al Mahi, John F. Reichard, Tanya T. Kelley, Alessandro D'Urso, Kathleen M. Jagodnik, Dusica Vidovic, Mario Medvedovic, Marcin Pilarczyk, Vasileios Stathias, Behrouz Shamsaei, Lily Wang, Wen Niu, Avi Ma'ayan, Stephan C. Schürer, Daniel J. Cooper, Denis Torre, Bryce K. Allen, Raymond Terryn, Juozas Vasiliauskas, Jarek Meller, Ajay Pillai
Publikováno v:
Nucleic Acids Research
The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analyti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3c908df0a539775ac2d00be075ca9c1
https://doi.org/10.1093/nar/gkx1063
https://doi.org/10.1093/nar/gkx1063
Autor:
Shana White, Marcin Pilarczyk, Lixia Zhang, Juozas Vasiliauskas, Sarah E. Davidson, Amar Koleti, Dusica Vidovic, Nicholas A. Clark, Stephan C. Schürer, Rashid Saadman Karim, Jacek Biesiada, Avi Ma'ayan, Daniel J.B. Clarke, John F. Reichard, Mark F. Bennett, Yan Ren, Vasileios Stathias, Behrouz Shamsaei, Naim Al Mahi, Jarek Meller, Mario Medvedovic, Wen Niu, Michal Kouril, Huan Xu, Kurt Roberts
There are only a few platforms that integrate multiple omics data types, bioinformatics tools, and interfaces for integrative analyses and visualization that do not require programming skills. Among these, iLINCS is unique in scope and versatility of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bfeea46ff70141c67a3f6ec14a71981
Publikováno v:
Scientific Reports
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
The vast amount of RNA-seq data deposited in Gene Expression Omnibus (GEO) and Sequence Read Archive (SRA) is still a grossly underutilized resource for biomedical research. To remove technical roadblocks for reusing these data, we have developed a w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c1e3e24ead5c4bf81b103a435acb2c
http://europepmc.org/articles/PMC6527554
http://europepmc.org/articles/PMC6527554
Publikováno v:
International Journal of Molecular Sciences
Volume 22
Issue 9
International Journal of Molecular Sciences, Vol 22, Iss 4371, p 4371 (2021)
Volume 22
Issue 9
International Journal of Molecular Sciences, Vol 22, Iss 4371, p 4371 (2021)
In the connectivity map (CMap) approach to drug repositioning and development, transcriptional signature of disease is constructed by differential gene expression analysis between the diseased tissue or cells and the control. The negative correlation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::338e0da4f71ecb396727bc9b9c747de2
https://doi.org/10.3390/ijms22094371
https://doi.org/10.3390/ijms22094371
Autor:
Peter W. Heymann, Thomas A.E. Platts-Mills, Jocelyn M. Biagini Myers, James T. Patrie, Umasundari Sivaprasad, Gurjit K. Khurana Hershey, Lisa J. Martin, Holliday T. Carper, Mark Lindsey, Deborah D. Murphy, Mario Medvedovic, Naim Al Mahi, John W. Steinke, Hua He, Judith A. Woodfolk, Huyen-Tran Nguyen, Ronald B. Turner
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 5, p e0178096 (2017)
PLoS ONE, Vol 12, Iss 5, p e0178096 (2017)
Background Rhinovirus (HRV) is associated with the large majority of virus-induced asthma exacerbations in children and young adults, but the mechanisms remain poorly defined. Methods Asthmatics and non-asthmatic controls were inoculated with HRV-A16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e213e809f21fd6fb93e1047816f9dbd
http://europepmc.org/articles/PMC5446117
http://europepmc.org/articles/PMC5446117
Autor:
Munni Begum, Naim Al Mahi
Publikováno v:
Journal of bioinformatics and computational biology. 14(6)
One of the primary objectives of ribonucleic acid (RNA) sequencing or RNA-Seq experiment is to identify differentially expressed (DE) genes in two or more treatment conditions. It is a common practice to assume that all read counts from RNA-Seq data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cc64df0733c608e5a0942bbc65c864a
https://pubmed.ncbi.nlm.nih.gov/27774870
https://pubmed.ncbi.nlm.nih.gov/27774870