Zobrazeno 1 - 10
of 11
pro vyhledávání: '"David C. L. Handler"'
Publikováno v:
Proteomes, Vol 8, Iss 3, p 21 (2020)
PeptideWitch is a python-based web module that introduces several key graphical and technical improvements to the Scrappy software platform, which is designed for label-free quantitative shotgun proteomics analysis using normalised spectral abundance
Externí odkaz:
https://doaj.org/article/36f71217fd1a4b7ebbc85979bc251d27
Autor:
Paul A. Haynes, David C. L. Handler
Publikováno v:
Journal of the American Society for Mass Spectrometry. 31:1337-1343
We randomly selected 100 journal articles published in five proteomics journals in 2019 and manually examined each of them against a set of 13 criteria concerning the statistical analyses used, all of which were based on items mentioned in the journa
Publikováno v:
Trends in Glycoscience and Glycotechnology. 32:E53-E61
Aberrant glycosylation, in abundance or type, influences the overall physiology of tissues and the functions of proteins. This review is focused on the role of glycosylation in the reproductive process in the female reproductive tract from a glycopro
Autor:
David C. L. Handler, Paul A. Haynes
Publikováno v:
SoftwareX, Vol 13, Iss, Pp 100644-(2021)
Assessment of replicate quality is an important process for any shotgun proteomics experiment. One fundamental question in proteomics data analysis is whether any specific replicates in a set of analyses are biasing the downstream comparative quantit
Publikováno v:
Proteomes
Proteomes, Vol 8, Iss 21, p 21 (2020)
Volume 8
Issue 3
Proteomes, Vol 8, Iss 21, p 21 (2020)
Volume 8
Issue 3
PeptideWitch is a python-based web module that introduces several key graphical and technical improvements to the Scrappy software platform, which is designed for label-free quantitative shotgun proteomics analysis using normalised spectral abundance
Autor:
David C. L. Handler, Paul A. Haynes
The multiple testing problem is a well-known statistical stumbling block in high-throughput data analysis, where large scale repetition of statistical methods introduces unwanted noise into the results. While approaches exist to overcome the multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c50678f06523fd64416c72e582ff998
https://doi.org/10.1101/797217
https://doi.org/10.1101/797217
Publikováno v:
Journal of Chromatography B. 1162:122453
Proteomics, as a high-throughput technology, has been developed with the aim of investigating the maximum number of proteins in cells. However, protein discovery and data generation vary in depth and coverage when different technical strategies are u
Publikováno v:
PROTEOMICS. 16:2448-2453
Multiple testing corrections are a useful tool for restricting the FDR, but can be blunt in the context of low power, as we demonstrate by a series of simple simulations. Unfortunately, in proteomics experiments low power can be common, driven by pro
Correction to 'Statistics in Proteomics: A Meta-analysis of 100 Proteomics Papers Published in 2019'
Autor:
David C. L. Handler, Paul A. Haynes
Publikováno v:
Journal of the American Society for Mass Spectrometry. 32:1846-1846
Autor:
Tim Maher, Mehdi Mirzaei, Paul A. Haynes, David C. L. Handler, Masoud Zabet Moghaddam, Dana Pascovici, Robert D. Willows, Joel M. Chick, Yunqi Wu, Prathiba Ravishankar, Ghasem Hosseini Salekdeh
Publikováno v:
Agricultural Proteomics Volume 1 ISBN: 9783319432731
Over the past two decades, we witnessed significant technological advances in Proteomics. Methodology and instrumentation have developed remarkably and proteomics has become a priority field of research in biology. Furthermore, analysis of the entire
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27cd59deee13ab22dd75d61c25667683
https://doi.org/10.1007/978-3-319-43275-5_1
https://doi.org/10.1007/978-3-319-43275-5_1