about
sameAs
Multiplexed discovery of sequence polymorphisms using base-specific cleavage and MALDI-TOF MSComputational mass spectrometry for small moleculesFragmentation trees reloadedIdentifying the Unknowns by Aligning Fragmentation TreesGene expansion shapes genome architecture in the human pathogen Lichtheimia corymbifera: an evolutionary genomics analysis in the ancient terrestrial mucorales (Mucoromycotina)Critical Assessment of Small Molecule Identification 2016: automated methods.COCONUT—An Efficient Tool for Estimating Copolymer Compositions from Mass Spectra.Finding approximate gene clusters with Gecko 3.Base-specific fragmentation of amplified 16S rRNA genes analyzed by mass spectrometry: a tool for rapid bacterial identification.SNP and mutation discovery using base-specific cleavage and MALDI-TOF mass spectrometry.Correcting mass shifts: A lock mass-free recalibration procedure for mass spectrometry imaging data.Novel mass spectrometry-based tool for genotypic identification of mycobacteriaMining molecular structure databases: Identification of small molecules based on fragmentation mass spectrometry data.Searching molecular structure databases using tandem MS data: are we there yet?High-throughput MALDI-TOF discovery of genomic sequence polymorphismsSequencing from compomers: using mass spectrometry for DNA de novo sequencing of 200+ nt.SAMPI: protein identification with mass spectra alignmentsPeak intensity prediction in MALDI-TOF mass spectrometry: a machine learning study to support quantitative proteomicsOn optimal comparability editing with applications to molecular diagnostics.Unbiased transcriptional comparisons of generalist and specialist herbivores feeding on progressively defenseless Nicotiana attenuata plants.Computational mass spectrometry for metabolomics: identification of metabolites and small molecules.Computing fragmentation trees from tandem mass spectrometry data.Automated bond order assignment as an optimization problem.Swiftly computing center stringsComputing fragmentation trees from metabolite multiple mass spectrometry data.De novo analysis of electron impact mass spectra using fragmentation trees.Statistics for approximate gene clustersMass spectrometry imaging of surface lipids on intact Drosophila melanogaster flies.New kids on the block: novel informatics methods for natural product discovery.Identifying gene clusters by discovering common intervals in indeterminate strings.Searching molecular structure databases with tandem mass spectra using CSI:FingerID.Abundance correction for mass discrimination effects in polymer mass spectra.Analysis of different synthetic homopolymers by the use of a new calculation software for tandem mass spectra.Molecular Formula Identification with SIRIUS.Predicting the Presence of Uncommon Elements in Unknown Biomolecules from Isotope Patterns.Fast metabolite identification with Input Output Kernel RegressionPolynomial supertree methods revisited.Metabolite identification through multiple kernel learning on fragmentation trees.Collecting reliable clades using the Greedy Strict Consensus Merger.Fast alignment of fragmentation trees.
P50
Q24794151-0BBBDB7F-EB90-42C8-92C7-AD3E7D1F6EFFQ27703094-4F74C432-8026-4815-9E52-16E568E4BC0CQ27902332-20022FFC-E860-4FBA-9F3F-43FA6DFDE9AFQ28530233-F6EAF5D2-282E-4BFC-936C-F27D3FFF36BAQ28654542-781F7355-6947-40DE-AC8D-69062ADFB154Q29052362-B780570D-04DD-480F-ACB4-3F31B9FDAAA5Q30487838-4DCBB857-7FB1-4BDA-B91F-180BB36EA535Q30832679-5DAD36E6-A484-429C-A282-BE1FFDD78323Q30834843-F0483EAE-9D3F-4D1F-95CD-91E9DF40F966Q30961480-9C2FAACE-FCF8-4B1E-9215-81AA7AF3BEFCQ30991893-270D6890-93E9-4D05-BD9A-52815980AC87Q31035247-EC075DE8-44EB-48DC-9FC0-84C5210A6C3AQ31036754-95D79529-68F5-4858-A245-9EA65CC1B0B6Q31151444-CEABE386-E1A0-4DF7-AFFE-EA123FCB362FQ33196500-7F9E19F0-66AB-4138-BD71-E852D6E2EAE8Q33211073-C7B1E2E1-D8D9-4051-9C6F-F8E766F2DAB1Q33280026-F97818F2-AC88-4014-895D-8902554F133FQ33378227-4F373F5B-B77F-4A68-9D79-D516C44A0FDEQ33407915-22D77014-9A22-4971-A2A8-BA97C58CCF1DQ33525573-8B1540CC-640C-436C-B182-38FEF7DEA1ACQ33714757-74F1E1AF-1610-43ED-9108-88DCC59B8F70Q33779369-2F4B51E1-6168-46E2-AA86-3E6FCB290E63Q33796206-F883BC3E-EF77-418C-B0BB-8A4CCDBB0809Q33876877-FC9D43F1-9FB8-407D-AE1D-16E49F450FB5Q34060956-DD340855-3A56-46D2-B119-D80CD31294EFQ34346807-E5FB4D6B-696E-40EF-9A12-B995F12FB0C2Q35101626-30172DCF-53E2-4061-8B6D-7F63BE08698BQ35118210-F364C9EF-6E4E-4036-98A5-7607C0A96AE6Q35154173-14BE7B4D-F24F-43D0-8FCA-E94FBE1E7AF2Q35540401-CDF107E1-F411-4017-AF7E-D198BE4D2CACQ36179301-2C308B87-DF98-4569-BEF8-D8E1D66E8962Q36317867-FA2E3DEB-679B-4829-BFB1-C152EC091661Q38427866-CA45AE4F-1C04-4DAC-A227-7D67E9413307Q39496250-ABE2CEA3-3148-4933-A8DC-31C8240CBE9DQ39615332-4D43F9D6-FD7F-4C91-A376-06977FC10A5FQ39679889-70D86B66-0012-4AF2-B341-540BB894B2CAQ40100152-E08E77DA-C18A-45C6-BE8E-144365394B61Q40750458-65197737-5AA8-4242-BBA2-42C54E26A423Q41890833-0D39BABB-E798-4FA6-BF98-8AEA9A8527E7Q42174883-881529C6-AB80-4FF6-A8C2-1EB556DAAA97
P50
description
researcher
@en
ricercatore
@it
wetenschapper
@nl
հետազոտող
@hy
name
Sebastian Böcker
@ast
Sebastian Böcker
@en
Sebastian Böcker
@es
Sebastian Böcker
@nl
type
label
Sebastian Böcker
@ast
Sebastian Böcker
@en
Sebastian Böcker
@es
Sebastian Böcker
@nl
prefLabel
Sebastian Böcker
@ast
Sebastian Böcker
@en
Sebastian Böcker
@es
Sebastian Böcker
@nl
P106
P21
P214
9893153954886905680000
P31
P496
0000-0002-9304-8091
P735
P7859
viaf-9893153954886905680000