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September 8, 2019
Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine
Kurt Boonen, Kristien Hens, Gerben Menschaert, et al.
Bioinformatics (Oxford, England)
|
May 28, 2013
PIUS: peptide identification by unbiased search
Eduardo P Costa, Gerben Menschaert, Walter Luyten, et al.
Nucleic Acids Research
|
November 4, 2015
sORFs.org: a repository of small ORFs identified by ribosome profiling
Volodimir Olexiouk, Jeroen Crappé, Steven Verbruggen, et al.
Nucleic Acids Research
|
October 5, 2017
REPARATION: ribosome profiling assisted (re-)annotation of bacterial genomes
Elvis Ndah, Veronique Jonckheere, Adam Giess, et al.
Biorxiv : the Preprint Server for Biology
|
April 8, 2024
Deep learning to decode sites of RNA translation in normal and cancerous tissues
Jim Clauwaert, Zahra McVey, Ramneek Gupta, et al.
Nucleic Acids Research
|
May 26, 2017
eIF1 modulates the recognition of suboptimal translation initiation sites and steers gene expression via uORFs
Daria Fijalkowska, Steven Verbruggen, Elvis Ndah, et al.
Plos One
|
September 24, 2019
A combined strategy of neuropeptide prediction and tandem mass spectrometry identifies evolutionarily conserved ancient neuropeptides in the sea anemone Nematostella vectensis
Eisuke Hayakawa, Hiroshi Watanabe, Gerben Menschaert, et al.
Frontiers in Cell and Developmental Biology
|
October 4, 2021
Ion Mobility Coupled to a Time-of-Flight Mass Analyzer Combined With Fragment Intensity Predictions Improves Identification of Classical Bioactive Peptides and Small Open Reading Frame-Encoded Peptides
Marlies K R Peeters, Geert Baggerman, Ralf Gabriels, et al.
BMC Genomics
|
September 25, 2013
Combining in silico prediction and ribosome profiling in a genome-wide search for novel putatively coding sORFs
Jeroen Crappé, Wim Van Criekinge, Geert Trooskens, et al.
Nucleic Acids Research
|
October 13, 2007
PubMeth: a cancer methylation database combining text-mining and expert annotation
Maté Ongenaert, Leander Van Neste, Tim De Meyer, et al.
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of 8
Search research articles
Search
Showing results (21-30 of 73) with videos related to
Sort By:
Page
of 8
Genes
|
September 8, 2019
Beyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine
Kurt Boonen, Kristien Hens, Gerben Menschaert, et al.
Bioinformatics (Oxford, England)
|
May 28, 2013
PIUS: peptide identification by unbiased search
Eduardo P Costa, Gerben Menschaert, Walter Luyten, et al.
Nucleic Acids Research
|
November 4, 2015
sORFs.org: a repository of small ORFs identified by ribosome profiling
Volodimir Olexiouk, Jeroen Crappé, Steven Verbruggen, et al.
Nucleic Acids Research
|
October 5, 2017
REPARATION: ribosome profiling assisted (re-)annotation of bacterial genomes
Elvis Ndah, Veronique Jonckheere, Adam Giess, et al.
Biorxiv : the Preprint Server for Biology
|
April 8, 2024
Deep learning to decode sites of RNA translation in normal and cancerous tissues
Jim Clauwaert, Zahra McVey, Ramneek Gupta, et al.
Nucleic Acids Research
|
May 26, 2017
eIF1 modulates the recognition of suboptimal translation initiation sites and steers gene expression via uORFs
Daria Fijalkowska, Steven Verbruggen, Elvis Ndah, et al.
Plos One
|
September 24, 2019
A combined strategy of neuropeptide prediction and tandem mass spectrometry identifies evolutionarily conserved ancient neuropeptides in the sea anemone Nematostella vectensis
Eisuke Hayakawa, Hiroshi Watanabe, Gerben Menschaert, et al.
Frontiers in Cell and Developmental Biology
|
October 4, 2021
Ion Mobility Coupled to a Time-of-Flight Mass Analyzer Combined With Fragment Intensity Predictions Improves Identification of Classical Bioactive Peptides and Small Open Reading Frame-Encoded Peptides
Marlies K R Peeters, Geert Baggerman, Ralf Gabriels, et al.
BMC Genomics
|
September 25, 2013
Combining in silico prediction and ribosome profiling in a genome-wide search for novel putatively coding sORFs
Jeroen Crappé, Wim Van Criekinge, Geert Trooskens, et al.
Nucleic Acids Research
|
October 13, 2007
PubMeth: a cancer methylation database combining text-mining and expert annotation
Maté Ongenaert, Leander Van Neste, Tim De Meyer, et al.
Page
of 8