Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Abayomi Mosaku"'
Autor:
Nurlan Kerimov, Ralf Tambets, James D Hayhurst, Ida Rahu, Peep Kolberg, Uku Raudvere, Ivan Kuzmin, Anshika Chowdhary, Andreas Vija, Hans J Teras, Masahiro Kanai, Jacob Ulirsch, Mina Ryten, John Hardy, Sebastian Guelfi, Daniah Trabzuni, Sarah Kim-Hellmuth, William Rayner, Hilary Finucane, Hedi Peterson, Abayomi Mosaku, Helen Parkinson, Kaur Alasoo
Publikováno v:
PLoS Genetics, Vol 19, Iss 9, p e1010932 (2023)
The eQTL Catalogue is an open database of uniformly processed human molecular quantitative trait loci (QTLs). We are continuously updating the resource to further increase its utility for interpreting genetic associations with complex traits. Over th
Externí odkaz:
https://doaj.org/article/4747de12cc9a4815a10050170fc3cf70
Autor:
Zdenka Dudová, Nathalie Conte, Jeremy Mason, Dalibor Stuchlík, Radim Peša, Csaba Halmagyi, Zinaida Perova, Abayomi Mosaku, Ross Thorne, Alex Follette, Ľuboslav Pivarč, Radim Šašinka, Muhammad Usman, Steven Neuhauser, Dale A. Begley, Debra M. Krupke, Massimiliano Frassà, Alessandro Fiori, Riccardo Corsi, Luca Vezzadini, Claudio Isella, Andrea Bertotti, Carol Bult, Helen Parkinson, Enzo Medico, Terrence Meehan, Aleš Křenek
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross valida
Externí odkaz:
https://doaj.org/article/f99e9bc8c35f4c12ae94bc2bd9b450b1
Autor:
Nurlan Kerimov, Ralf Tambets, James D. Hayhurst, Ida Rahu, Peep Kolberg, Uku Raudvere, Ivan Kuzmin, Anshika Chowdhary, Andreas Vija, Hans J. Teras, Masahiro Kanai, Jacob Ulirsch, Mina Ryten, John Hardy, Sebastian Guelfi, Daniah Trabzuni, Sarah Kim-Hellmuth, Will Rayner, Hilary Finucane, Hedi Peterson, Abayomi Mosaku, Helen Parkinson, Kaur Alasoo
Splicing quantitative trait loci (QTLs) have been implicated as a common mechanism underlying complex trait associations. However, utilising splicing QTLs in target discovery and prioritisation has been challenging due to extensive data normalisation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b87f4885df52868add36c842b7ffb35e
https://doi.org/10.1101/2023.04.06.535816
https://doi.org/10.1101/2023.04.06.535816
Autor:
Oluwadamilare Falola, Yagoub Adam, Olabode Ajayi, Judit Kumuthini, Suraju Adewale, Abayomi Mosaku, Chaimae Samtal, Glory Adebayo, Jerry Emmanuel, Milaine S S Tchamga, Udochukwu Erondu, Adebayo Nehemiah, Suraj Rasaq, Mary Ajayi, Bola Akanle, Olaleye Oladipo, Itunuoluwa Isewon, Marion Adebiyi, Jelili Oyelade, Ezekiel Adebiyi
Publikováno v:
Bioinformatics. 39
Motivation Post-genome-wide association studies (pGWAS) analysis is designed to decipher the functional consequences of significant single-nucleotide polymorphisms (SNPs) in the era of GWAS. This can be translated into research insights and clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1de71a05148971c992ec66ada8c05965
https://doi.org/10.1093/bioinformatics/btac791
https://doi.org/10.1093/bioinformatics/btac791
Autor:
Elliot Sollis, Abayomi Mosaku, Ala Abid, Annalisa Buniello, Maria Cerezo, Laurent Gil, Tudor Groza, Osman Güneş, Peggy Hall, James Hayhurst, Arwa Ibrahim, Yue Ji, Sajo John, Elizabeth Lewis, Jacqueline A L MacArthur, Aoife McMahon, David Osumi-Sutherland, Kalliope Panoutsopoulou, Zoë Pendlington, Santhi Ramachandran, Ray Stefancsik, Jonathan Stewart, Patricia Whetzel, Robert Wilson, Lucia Hindorff, Fiona Cunningham, Samuel A Lambert, Michael Inouye, Helen Parkinson, Laura W Harris
Publikováno v:
Nucleic acids research.
The NHGRI-EBI GWAS Catalog (www.ebi.ac.uk/gwas) is a FAIR knowledgebase providing detailed, structured, standardised and interoperable genome-wide association study (GWAS) data to >200 000 users per year from academic research, healthcare and industr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab0d8788633b34367407df638d7a4bb4
https://pubmed.ncbi.nlm.nih.gov/36350656
https://pubmed.ncbi.nlm.nih.gov/36350656
Autor:
James Hayhurst, Annalisa Buniello, Laura Harris, Abayomi Mosaku, Christopher Chang, Christopher R. Gignoux, Konstantinos Hatzikotoulas, Mohd Anisul Karim, Samuel A. Lambert, Matt Lyon, Aoife McMahon, Yukinori Okada, Nicola Pirastu, N. William Rayner, Jeremy Schwartzentruber, Robert Vaughan, Shefali Verma, Steven P. Wilder, Fiona Cunningham, Lucia Hindorff, Ken Wiley, Helen Parkinson, Inês Barroso
Summary statistics from genome-wide association studies (GWAS) represent a huge potential for research. A challenge for researchers in this field is the access and sharing of summary statistics data due to a lack of standards for the data content and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::586ecfe06261e20dab5bb874303a2e13
https://doi.org/10.1101/2022.07.15.500230
https://doi.org/10.1101/2022.07.15.500230
Autor:
Maria Cerezo, Annalisa Buniello, Ala Abid, Peggy Hall, James Hayhurst, Arwa Ibrahim, Sajo John, Elizabeth Lewis, Aoife McMahon, Abayomi Mosaku, Santhi Ramachandran, Elliot Sollis, Fiona Cunningham, Paul Flicek, Lucia Hindorff, Laura Harris, Helen Parkinson
Publikováno v:
Cancer Genetics. :21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c24f7fd962f2e13953e06e4031cfe6fc
https://doi.org/10.1016/j.cancergen.2022.10.067
https://doi.org/10.1016/j.cancergen.2022.10.067
Autor:
Zdenka Dudová, Nathalie Conte, Jeremy Mason, Dalibor Stuchlík, Radim Peša, Csaba Halmagyi, Zinaida Perova, Abayomi Mosaku, Ross Thorne, Alex Follette, Ľuboslav Pivarč, Radim Šašinka, Muhammad Usman, Steven Neuhauser, Dale A. Begley, Debra M. Krupke, Massimiliano Frassà, Alessandro Fiori, Riccardo Corsi, Luca Vezzadini, Claudio Isella, Andrea Bertotti, Carol Bult, Helen Parkinson, Enzo Medico, Terrence Meehan, Aleš Křenek
Publikováno v:
BMC genomics. 23(1)
Background Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross validation etc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab3ffeb6819c1465c00a42016767344
https://pubmed.ncbi.nlm.nih.gov/35193494
https://pubmed.ncbi.nlm.nih.gov/35193494
Autor:
Zinaida Perova, Csaba Halmagyi, Alex Follette, Mauricio Martinez, Federico Lopez-Gomez, Jeremy Mason, Abayomi Mosaku, Nathalie Conte, Ross Thorne, Steven Neuhauser, Dale Begley, Debra Krupke, Terrence Meehan, Carol Bult, Helen Parkinson
Publikováno v:
Cancer Research. 82:3105-3105
PDCM Finder (https://cancermodels.org) is a new portal that aggregates patient-derived models (xenografts, cell lines and organoids) from 27 academic and commercial providers, enables users to search and compare over 6000 models and associated molecu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca4c94d025800fd974284eff0ba2459
https://doi.org/10.1158/1538-7445.am2022-3105
https://doi.org/10.1158/1538-7445.am2022-3105
Autor:
Jeremy Mason, Csaba Halmagyi, Aikaterini Chatzipli, Nathalie Conte, Steven B. Neuhauser, Helen Parkinson, Debra M. Krupke, Terrence F. Meehan, Galabina Yordanova, Carol J. Bult, Dale A. Begley, Abayomi Mosaku
Publikováno v:
Nucleic Acids Research
Patient-derived tumor xenograft (PDX) mouse models are a versatile oncology research platform for studying tumor biology and for testing chemotherapeutic approaches tailored to genomic characteristics of individual patients’ tumors. PDX models are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21150f1c0eb63f6b5b31dd780441e5a2
https://doi.org/10.1093/nar/gky984
https://doi.org/10.1093/nar/gky984