Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maximillian Westphal"'
Autor:
Maximillian Westphal, David Frankhouser, Carmine Sonzone, Peter G. Shields, Pearlly Yan, Ralf Bundschuh
Publikováno v:
BMC Genomics, Vol 20, Iss S12, Pp 1-10 (2019)
Abstract Background Inadvertent sample swaps are a real threat to data quality in any medium to large scale omics studies. While matches between samples from the same individual can in principle be identified from a few well characterized single nucl
Externí odkaz:
https://doaj.org/article/07fe8bcd6f2d4e1195e0d10126a435a7
Autor:
Ralf Bundschuh, David Frankhouser, Carmine Sonzone, Peter G. Shields, Maximillian Westphal, Pearlly S. Yan
Publikováno v:
BMC Genomics, Vol 20, Iss S12, Pp 1-10 (2019)
BMC Genomics
BMC Genomics
Background Inadvertent sample swaps are a real threat to data quality in any medium to large scale omics studies. While matches between samples from the same individual can in principle be identified from a few well characterized single nucleotide po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d6b29f9c2657440e29f191b452482e4
https://doi.org/10.1186/s12864-019-6332-7
https://doi.org/10.1186/s12864-019-6332-7
Publikováno v:
Physics in medicine and biology. 62(16)
With the advent of monochromatic and quasi-monochromatic x-ray sources, we explore their potential with computational and experimental studies on propagation through a combination of low and high-Z (atomic number) media for applications to imaging an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca1478a6511f27066c55aaba3452121
https://pubmed.ncbi.nlm.nih.gov/28665295
https://pubmed.ncbi.nlm.nih.gov/28665295
Autor:
Nima E. Mokaram, Karl Kroll, Cameron L. Stump, Alexander R. Pelletier, Paige A. Stump, Maximillian Westphal, David Frankhouser, Ralf Bundschuh, Pearlly S. Yan, James S. Blachly
Publikováno v:
Cancer Informatics, Vol 2014, Iss Suppl. 3, Pp 7-14 (2014)
Cancer Informatics, Vol 13s3 (2014)
Cancer Informatics
Cancer Informatics, Vol 13s3 (2014)
Cancer Informatics
QuaCRS ( Quality Control for RNA- Seq) is an integrated, simplified quality control (QC) system for RNA-seq data that allows easy execution of several open-source QC tools, aggregation of their output, and the ability to quickly identify quality issu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7244fb45790162578769a36a5c065c69
http://www.la-press.com/quality-control-for-rna-seq-quacrs-an-integrated-quality-control-pipel-article-a4453
http://www.la-press.com/quality-control-for-rna-seq-quacrs-an-integrated-quality-control-pipel-article-a4453