Joao Pedro de Magalhaes

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George ChurchHarvard Medical SchoolE-mailová adresa ověřena na: harvard.edu
Jia MengDept of Biosciences and Bioinformatics, Xi'an Jiaotong-Liverpool UniversityE-mailová adresa ověřena na: xjtlu.edu.cn
Daniel RigdenProfessor, Department of Biochemistry, Cell and Systems Biology, ISMIB, University of LiverpoolE-mailová adresa ověřena na: liverpool.ac.uk
Freitas, Alex A.Professor of Computational Intelligence, University of KentE-mailová adresa ověřena na: kent.ac.uk
Kasit ChatsirisupachaiPostdoctoral Fellow, Genome Biology Unit, EMBL HeidelbergE-mailová adresa ověřena na: embl.de
Florence ChainiauxUniversité de NamurE-mailová adresa ověřena na: unamur.be
Shona WoodUniversity of TromsøE-mailová adresa ověřena na: uit.no
Daniela Tejada-MartinezPostdoctoral researcher | Department of Anthropology | Tucci lab, Human Evolutionary Genomics | YaleE-mailová adresa ověřena na: yale.edu
Yang I LiUniversity of ChicagoE-mailová adresa ověřena na: uchicago.edu
Anis LarbiBeckman Coulter Life SciencesE-mailová adresa ověřena na: beckman.com
Alexey MoskalevInstitute of longevity, Russian Scientific Center of Surgery named after Academician B.V. PetrovskyE-mailová adresa ověřena na: med.ru
Alex Zhavoronkov (Aleksandrs Zavoro...Insilico MedicineE-mailová adresa ověřena na: insilico.com
Vadim GladyshevProfessor of Medicine, Brigham and Women's Hospital, Harvard Medical SchoolE-mailová adresa ověřena na: rics.bwh.harvard.edu
Georges JanssensAssistant Professor, AMC, Amsterdam, The NetherlandsE-mailová adresa ověřena na: amc.nl
Lude FrankeProfessor of Functional Genomics, University Medical Centre GroningenE-mailová adresa ověřena na: cleverfranke.com
Alexandra StolzingLoughborough UniversityE-mailová adresa ověřena na: lboro.ac.uk
Brian KennedyNational University of SingaporeE-mailová adresa ověřena na: nus.edu.sg
Joao CuradoFlomics Biotech, Barcelona, SpainE-mailová adresa ověřena na: flomics.com
Adiv JohnsonTally HealthE-mailová adresa ověřena na: tallyhealth.com
Joao PassosProfessor, Mayo Clinic, MN, USAE-mailová adresa ověřena na: mayo.edu

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Joao Pedro de Magalhaes

University of Birmingham

E-mailová adresa ověřena na: bham.ac.uk - Domovská stránka

aging genomics machine learning cellular senescence


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Gene co-expression analysis for functional classification and gene–disease predictions S Van Dam, U Vosa, A van der Graaf, L Franke, JP de Magalhaes Briefings in bioinformatics 19 (4), 575-592, 2018	1113	2018
Meta-analysis of age-related gene expression profiles identifies common signatures of aging JP De Magalhães, J Curado, GM Church Bioinformatics 25 (7), 875-881, 2009	867	2009
RNA-Seq signatures normalized by mRNA abundance allow absolute deconvolution of human immune cell types G Monaco, B Lee, W Xu, S Mustafah, YY Hwang, C Carré, N Burdin, ... Cell reports 26 (6), 1627-1640. e7, 2019	785	2019
Human ageing genomic resources: new and updated databases R Tacutu, D Thornton, E Johnson, A Budovsky, D Barardo, T Craig, ... Nucleic acids research 46 (D1), D1083-D1090, 2018	674	2018
A database of vertebrate longevity records and their relation to other life‐history traits JP De Magalhaes, J Costa Journal of evolutionary biology 22 (8), 1770-1774, 2009	627	2009
Human Ageing Genomic Resources: integrated databases and tools for the biology and genetics of ageing R Tacutu, T Craig, A Budovsky, D Wuttke, G Lehmann, D Taranukha, ... Nucleic acids research 41 (D1), D1027-D1033, 2012	608	2012
The role of DNA methylation in aging, rejuvenation, and age-related disease AA Johnson, K Akman, SRG Calimport, D Wuttke, A Stolzing, ... Rejuvenation research 15 (5), 483-494, 2012	434	2012
How ageing processes influence cancer JP De Magalhães Nature Reviews Cancer 13 (5), 357-365, 2013	426	2013
An analysis of the relationship between metabolism, developmental schedules, and longevity using phylogenetic independent contrasts JP Magalhães, J Costa, GM Church The Journals of Gerontology Series A: Biological Sciences and Medical …, 2007	417	2007
Insights into the evolution of longevity from the bowhead whale genome M Keane, J Semeiks, AE Webb, YI Li, V Quesada, T Craig, LB Madsen, ... Cell reports 10 (1), 112-122, 2015	389	2015
Stress, cell senescence and organismal ageing JP de Magalhães, JF Passos Mechanisms of ageing and development 170, 2-9, 2018	371	2018
Subcytotoxic H2O2 stress triggers a release of transforming growth factor-β1, which induces biomarkers of cellular senescence of human diploid fibroblasts C Frippiat, QM Chen, S Zdanov, JP Magalhaes, J Remacle, O Toussaint Journal of Biological Chemistry 276 (4), 2531-2537, 2001	362	2001
Longer lifespan in male mice treated with a weakly estrogenic agonist, an antioxidant, an α‐glucosidase inhibitor or a Nrf2‐inducer R Strong, RA Miller, A Antebi, CM Astle, M Bogue, MS Denzel, ... Aging cell 15 (5), 872-884, 2016	350	2016
A review and appraisal of the DNA damage theory of ageing AA Freitas, JP De Magalhães Mutation Research/Reviews in Mutation Research 728 (1-2), 12-22, 2011	301	2011
A multidimensional systems biology analysis of cellular senescence in aging and disease RA Avelar, JG Ortega, R Tacutu, EJ Tyler, D Bennett, P Binetti, ... Genome biology 21, 1-22, 2020	286	2020
m⁶A-Atlas: a comprehensive knowledgebase for unraveling the N⁶-methyladenosine (m⁶A) epitranscriptome Y Tang, K Chen, B Song, J Ma, X Wu, Q Xu, Z Wei, J Su, G Liu, R Rong, ... Nucleic acids research 49 (D1), D134-D143, 2021	250	2021
flowAI: automatic and interactive anomaly discerning tools for flow cytometry data G Monaco, H Chen, M Poidinger, J Chen, JP de Magalhães, A Larbi Bioinformatics 32 (16), 2473-2480, 2016	248	2016
The Human Ageing Genomic Resources: online databases and tools for biogerontologists JP De Magalhaes, A Budovsky, G Lehmann, J Costa, Y Li, V Fraifeld, ... Aging cell 8 (1), 65-72, 2009	240	2009
HAGR: the human ageing genomic resources JP de Magalhaes, J Costa, O Toussaint Nucleic acids research 33 (suppl_1), D537-D543, 2005	211*	2005
WHISTLE: a high-accuracy map of the human N⁶-methyladenosine (m⁶A) epitranscriptome predicted using a machine learning approach K Chen, Z Wei, Q Zhang, X Wu, R Rong, Z Lu, J Su, JP De Magalhães, ... Nucleic acids research 47 (7), e41-e41, 2019	208	2019

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