about
PubMeth: a cancer methylation database combining text-mining and expert annotationA hybrid, de novo based, genome-wide database search approach applied to the sea urchin neuropeptidomeN-terminal proteomics and ribosome profiling provide a comprehensive view of the alternative translation initiation landscape in mice and menDiversity in protein glycosylation among insect speciesLinking mass spectrometric imaging and traditional peptidomics: a validation in the obese mouse model.Spectral clustering in peptidomics studies allows homology searching and modification profiling: HomClus, a versatile tool.An update on LNCipedia: a database for annotated human lncRNA sequences.Quality evaluation of methyl binding domain based kits for enrichment DNA-methylation sequencing.Combining in silico prediction and ribosome profiling in a genome-wide search for novel putatively coding sORFs.PROTEOFORMER: deep proteome coverage through ribosome profiling and MS integrationThe Salivary Protein Repertoire of the Polyphagous Spider Mite Tetranychus urticae: A Quest for Effectors.Noncoding after All: Biases in Proteomics Data Do Not Explain Observed Absence of lncRNA Translation Products.sORFs.org: a repository of small ORFs identified by ribosome profiling.Deep proteome coverage based on ribosome profiling aids mass spectrometry-based protein and peptide discovery and provides evidence of alternative translation products and near-cognate translation initiation eventsPeptidomics coming of age: a review of contributions from a bioinformatics angle.The Proteomics Standards Initiative: Fifteen Years of Progress and Future Work.Proteogenomics from a bioinformatics angle: A growing field.A Role for Human N-alpha Acetyltransferase 30 (Naa30) in Maintaining Mitochondrial Integrity.A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites.Identification of Small Novel Coding Sequences, a Proteogenomics Endeavor.PIUS: peptide identification by unbiased search.Colorado potato beetle (Coleoptera) gut transcriptome analysis: expression of RNA interference-related genes.Fast and Reliable Quantitative Peptidomics with labelpepmatch.eIF1 modulates the recognition of suboptimal translation initiation sites and steers gene expression via uORFsREPARATION: ribosome profiling assisted (re-)annotation of bacterial genomes.Antigenic peptides: Reviving nuclear translation.In Search of Lost Small Peptides.proBAMconvert: A Conversion Tool for proBAM/proBed.Spectral clustering in peptidomics studies helps to unravel modification profile of biologically active peptides and enhances peptide identification rate.Improving the identification rate of endogenous peptides using electron transfer dissociation and collision-induced dissociation.Interaction of the tobacco lectin with histone proteins.Bioinformatics solutions for MS/MS interpretation tailored to the peptidomics field.The proBAM and proBed standard formats: enabling a seamless integration of genomics and proteomics dataLittle things make big things happen: A summary of micropeptide encoding genesDeepRibo: a neural network for precise gene annotation of prokaryotes by combining ribosome profiling signal and binding site patternsAn update on LNCipedia: a database for annotated human lncRNA sequencesPROTEOFORMER 2.0: Further Developments in the Ribosome Profiling-assisted Proteogenomic Hunt for New ProteoformsDeletion 6q Drives T-cell Leukemia Progression by Ribosome ModulationBeyond Genes: Re-Identifiability of Proteomic Data and Its Implications for Personalized Medicine
P50
Q24650760-291369C3-E8EE-4C50-9AE5-67868D92A54DQ33517721-A049EC05-2943-4E0E-A232-BD7F3871472EQ33583158-030DAE33-3B94-42E6-8170-7EB40E2A9A0EQ33836774-A1AAD7C6-0C66-4D89-A102-4FC45A841C24Q34018292-46CF8D52-4EB1-42C7-87B1-CEC9C5D50886Q34191610-D1E13480-7E67-46EC-9895-91289D873F94Q34446754-1823FD1A-884B-4555-8FBB-D05DEBC77F3AQ34648668-17998614-BF1C-4F9B-8E56-0091E80DA049Q34995437-AE95736E-672D-40AC-A062-CEBC69F84186Q35171523-6E6DB266-C4DD-4EB1-B36A-689536364DFAQ36153047-3C8B88F7-1CDF-4DCA-835F-7E1DCAC00B8EQ36378466-F2328F3B-0F23-43FF-89B2-1F464C7CCA94Q36434764-5763EC9E-6B8F-4988-A296-9EA4E2351338Q37001951-7EA9759C-0DCD-49C1-BBD4-90D322939596Q37727140-A6B83EC5-FB6D-438F-BEE7-35CF102E7A16Q38371542-4789F0C0-62FA-4F0F-B6BA-BD624642669EQ38670152-A8D0898D-AB50-4134-B140-816C16B8F7B2Q38734296-2A88E820-3F59-4C0D-A4B1-230207931EDEQ38962884-35DAC140-0014-4EB3-A38B-1EF640CB3736Q38968213-1FFA55BB-5249-45A5-B2DE-0A616C8E95E0Q39147128-49CA108D-3DDC-4669-9085-EAB8DB48A76AQ39242552-FA8F349B-40A7-4F79-993E-1208C1DD23B6Q39557625-0FBEB9B7-9AE2-4AC5-950E-D7E1BEAC1041Q41510514-16A34994-C2B7-48B9-A9C6-254471625D9AQ42694925-783B2E83-7E00-4CA4-A35C-D81B25E552F4Q45285552-B7B70B82-22B8-4C17-B1B6-4D3B740C5DBBQ46328369-771D2860-C1D7-48BD-8EC8-7EE146EC898EQ47820027-FA64C61D-9245-4B10-8C64-17D289314CE1Q48493303-3BE9542E-5106-4665-9E40-0DF4D8DEF610Q49037901-7BE44F3A-3575-4B6D-BA4B-F1C2FA6CAF0EQ49076437-FDE20213-160B-4953-8E5E-723CCFA48EBDQ49147317-C7C4BCB4-42CF-4F5B-B66F-EEEAB82F4095Q57324767-DF04F55C-239F-41CA-9F7E-A6DC26961931Q60017701-5FCEA4D8-51D1-423E-85C5-4FBEB16DED3DQ64116432-2FD3766F-4868-481D-9934-FF715446BB02Q87030987-F5231B56-23F7-4D6F-B75B-D960F20B64B3Q91651576-620F37A6-8AE1-4DFA-9B0B-F0B06D835E9FQ91859433-D2798A63-D0FD-4A6F-AE0E-539773417094Q93156200-F89074C8-7D58-4DDB-94E5-2CB668332B4B
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Gerben Menschaert
@ast
Gerben Menschaert
@en
Gerben Menschaert
@es
Gerben Menschaert
@nl
Gerben Menschaert
@sl
type
label
Gerben Menschaert
@ast
Gerben Menschaert
@en
Gerben Menschaert
@es
Gerben Menschaert
@nl
Gerben Menschaert
@sl
prefLabel
Gerben Menschaert
@ast
Gerben Menschaert
@en
Gerben Menschaert
@es
Gerben Menschaert
@nl
Gerben Menschaert
@sl
P106
P108
P1960
p9v8KIcAAAAJ
P21
P31
P496
0000-0002-7575-2085
P569
2000-01-01T00:00:00Z