Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Alan E Murphy"'
Publikováno v:
eLife, Vol 12 (2023)
Mathys et al. conducted the first single-nucleus RNA-seq (snRNA-seq) study of Alzheimer’s disease (AD) (Mathys et al., 2019). With bulk RNA-seq, changes in gene expression across cell types can be lost, potentially masking the differentially expres
Externí odkaz:
https://doaj.org/article/8c5ef9b4e7444058ac0428c27a125857
Autor:
Alan E. Murphy, Nathan G. Skene
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-4 (2022)
Externí odkaz:
https://doaj.org/article/4b68b24be04240469d935c5ac5966ff6
Arising FromMathys, H.et al. Nature (2019).https://doi.org/10.1038/s41586-019-1195-2Mathyset al., conducted the first single-nucleus RNA-Seq study (snRNA-Seq) of Alzheimer’s disease (AD)1. The authors profiled the transcriptomes of approximately 80
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8dce3855bb784211679003adf70be5c
https://doi.org/10.1101/2023.04.01.535040
https://doi.org/10.1101/2023.04.01.535040
Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1deff2334cc6f810f60ffa0693ea9a4b
https://doi.org/10.21203/rs.3.rs-2399015/v1
https://doi.org/10.21203/rs.3.rs-2399015/v1
Publikováno v:
Bioinformatics Advances. 3
SummaryEpiCompare combines a variety of downstream analysis tools to compare, quality control and benchmark different epigenomic datasets. The package requires minimal input from users, can be run with just one line of code and provides all results o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43768156b7c1739159f4abd153a6dcb2
https://doi.org/10.1093/bioadv/vbad049
https://doi.org/10.1093/bioadv/vbad049
Leigh syndrome (subacute necrotising encephalomyelopathy) is a rare inherited, complex, and typically early onset mitochondrial disorder with clinical and genetic heterogeneity. It owes its heterogeneous nature to the complex nature of mitochondrial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93fa3f67ccefd888e949b812ddf23308
https://doi.org/10.1101/2022.08.05.502943
https://doi.org/10.1101/2022.08.05.502943
Autor:
Byron Andrews, Alan E. Murphy, Michele Stofella, Sarah Maslen, Leonardo Almeida-Souza, J. Mark Skehel, Nathan G. Skene, Frank Sobott, René A.W. Frank
Neurodegenerative diseases are characterized by the abnormal accumulation of aggregated proteins in the brain. Using in vivo pulse isotope labeling, we screened the proteome for changes in protein turnover and abundance in multiple mouse models of ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8ea7dc04ce65e99e1f8cb116d222e1e
http://hdl.handle.net/10138/356000
http://hdl.handle.net/10138/356000
Autor:
Paul M. Matthews, Nurun Fancy, Mahdi Moradi Marjaneh, Nathan G. Skene, Combiz Khozoie, Alan E Murphy
Advances in single-cell RNA-sequencing technology over the last decade have enabled exponential increases in throughput: datasets with over a million cells are becoming commonplace. The burgeoning scale of data generation, combined with the prolifera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c14a78c20e13da4a15398c2319fe33c
https://doi.org/10.22541/au.162912533.38489960/v2
https://doi.org/10.22541/au.162912533.38489960/v2
Autor:
Nathan G. Skene, Alan E Murphy
SummaryGenome-wide association studies (GWAS) summary statistics have popularised and accelerated genetic research. However, a lack of standardisation of the file formats used has proven problematic when running secondary analysis tools or performing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::164b34068bd6d19d7d2cd410bac8b74a
https://doi.org/10.1101/2021.06.21.449239
https://doi.org/10.1101/2021.06.21.449239
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Understanding how genetic variants affect the epigenome is key to interpreting GWAS, yet profiling these effects across the non-coding genome remains challenging due to experimental scalability. This necessitates accurate computational model
Externí odkaz:
https://doaj.org/article/017c3affa2604ad582b27a9346c01e5f