Visualization and analysis of molecular scanner peptide mass spectra View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2002-03-01

AUTHORS

Markus Müller, Robin Gras, Ron D. Appel, Willy V. Bienvenut, Denis F. Hochstrasser

ABSTRACT

The molecular scanner combines protein separation using gel electrophoresis with peptide mass fingerprinting (PMF) techniques to identify proteins in a highly automated manner. Proteins separated in a 2-dimensional polyacrylamide gel (2-D PAGE) are digested in parallel and transferred onto a membrane keeping their relative positions. The membrane is then sprayed with a matrix and inserted into a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer, which measures a peptide mass fingerprint at each site on the scanned grid. First, visualization of PMF data allows surveying all fingerprints at once and provides very useful information on the presence of chemical noise. Chemical noise is shown to be a potential source for erroneous identifications and is therefore purged from the mass fingerprints. Then, the correlation between neighboring spectra is used to recalibrate the peptide masses. Finally, a method that clusters peptide masses according to the similarity of the spatial distributions of their signal intensities is presented. This method allows discarding many of the false positives that usually go along with PMF identifications and allows identifying many weakly expressed proteins present in the gel. More... »

PAGES

221-231

Identifiers

URI

http://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00358-0

DOI

http://dx.doi.org/10.1016/s1044-0305(01)00358-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1012383186

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11908802


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/03", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0301", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Analytical Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0304", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medicinal and Biomolecular Chemistry", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0306", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Chemistry (incl. Structural)", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Algorithms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bacterial Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Calibration", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Fingerprinting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrophoresis, Polyacrylamide Gel", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Escherichia coli", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mass Spectrometry", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptides", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8591.5", 
          "name": [
            "CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u00fcller", 
        "givenName": "Markus", 
        "id": "sg:person.0733663303.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733663303.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8591.5", 
          "name": [
            "CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gras", 
        "givenName": "Robin", 
        "id": "sg:person.0712313416.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712313416.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Geneva, Geneva, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8591.5", 
          "name": [
            "CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland", 
            "University of Geneva, Geneva, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Appel", 
        "givenName": "Ron D.", 
        "id": "sg:person.0731173720.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731173720.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Clinical Chemistry Laboratory, Geneva University Hospital, Geneva, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.150338.c", 
          "name": [
            "Clinical Chemistry Laboratory, Geneva University Hospital, Geneva, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bienvenut", 
        "givenName": "Willy V.", 
        "id": "sg:person.01363413131.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363413131.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Geneva, Geneva, Switzerland", 
          "id": "http://www.grid.ac/institutes/grid.8591.5", 
          "name": [
            "Clinical Chemistry Laboratory, Geneva University Hospital, Geneva, Switzerland", 
            "University of Geneva, Geneva, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hochstrasser", 
        "givenName": "Denis F.", 
        "id": "sg:person.01316735750.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316735750.96"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1016/s1044-0305(98)00069-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031318143", 
          "https://doi.org/10.1016/s1044-0305(98)00069-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/86573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006375277", 
          "https://doi.org/10.1038/86573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s1044-0305(99)00126-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017594083", 
          "https://doi.org/10.1016/s1044-0305(99)00126-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s1044-0305(01)00239-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010462102", 
          "https://doi.org/10.1016/s1044-0305(01)00239-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s0021663540455", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013639015", 
          "https://doi.org/10.1007/s0021663540455"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s1044-0305(96)00256-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010751062", 
          "https://doi.org/10.1016/s1044-0305(96)00256-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/20400", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003898621", 
          "https://doi.org/10.1038/20400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/0-306-47595-2_7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031887439", 
          "https://doi.org/10.1007/0-306-47595-2_7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-03-01", 
    "datePublishedReg": "2002-03-01", 
    "description": "The molecular scanner combines protein separation using gel electrophoresis with peptide mass fingerprinting (PMF) techniques to identify proteins in a highly automated manner. Proteins separated in a 2-dimensional polyacrylamide gel (2-D PAGE) are digested in parallel and transferred onto a membrane keeping their relative positions. The membrane is then sprayed with a matrix and inserted into a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer, which measures a peptide mass fingerprint at each site on the scanned grid. First, visualization of PMF data allows surveying all fingerprints at once and provides very useful information on the presence of chemical noise. Chemical noise is shown to be a potential source for erroneous identifications and is therefore purged from the mass fingerprints. Then, the correlation between neighboring spectra is used to recalibrate the peptide masses. Finally, a method that clusters peptide masses according to the similarity of the spatial distributions of their signal intensities is presented. This method allows discarding many of the false positives that usually go along with PMF identifications and allows identifying many weakly expressed proteins present in the gel.", 
    "genre": "article", 
    "id": "sg:pub.10.1016/s1044-0305(01)00358-0", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1100508", 
        "issn": [
          "1044-0305", 
          "1879-1123"
        ], 
        "name": "Journal of The American Society for Mass Spectrometry", 
        "publisher": "American Chemical Society (ACS)", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "13"
      }
    ], 
    "keywords": [
      "chemical noise", 
      "peptide mass fingerprinting technique", 
      "flight mass spectrometer", 
      "peptide masses", 
      "matrix-assisted laser desorption/ionization time", 
      "laser desorption/ionization time", 
      "mass fingerprinting technique", 
      "molecular scanner", 
      "desorption/ionization time", 
      "mass fingerprint", 
      "mass spectrometer", 
      "protein separation", 
      "peptide mass fingerprint", 
      "PMF data", 
      "ionization time", 
      "PMF identification", 
      "gel", 
      "polyacrylamide gels", 
      "fingerprints", 
      "spectrometer", 
      "gel electrophoresis", 
      "separation", 
      "spectra", 
      "membrane", 
      "signal intensity", 
      "potential source", 
      "electrophoresis", 
      "method", 
      "matrix", 
      "fingerprinting techniques", 
      "presence", 
      "clusters", 
      "relative position", 
      "intensity", 
      "useful information", 
      "technique", 
      "mass", 
      "sites", 
      "protein", 
      "identification", 
      "spatial distribution", 
      "erroneous identification", 
      "source", 
      "analysis", 
      "distribution", 
      "position", 
      "time", 
      "parallel", 
      "correlation", 
      "manner", 
      "visualization", 
      "data", 
      "false positives", 
      "similarity", 
      "information", 
      "positives", 
      "grid", 
      "scanner", 
      "noise", 
      "scanned grid", 
      "molecular scanner peptide mass", 
      "scanner peptide mass"
    ], 
    "name": "Visualization and analysis of molecular scanner peptide mass spectra", 
    "pagination": "221-231", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1012383186"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1016/s1044-0305(01)00358-0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "11908802"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1016/s1044-0305(01)00358-0", 
      "https://app.dimensions.ai/details/publication/pub.1012383186"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_348.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1016/s1044-0305(01)00358-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00358-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00358-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00358-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1016/s1044-0305(01)00358-0'


 

This table displays all metadata directly associated to this object as RDF triples.

234 TRIPLES      22 PREDICATES      107 URIs      89 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1016/s1044-0305(01)00358-0 schema:about N1c1ea2c640274b1b805ce3a338cc9598
2 N206a040fe1a9404f967d3b452b09f79c
3 N3507cf5504f84aed953fff757e7b41cc
4 N421216f702df48ad83854b3a97d906a1
5 N7c24bbcbafa5415683d05006e3180819
6 N95cb717a41c149388f2706ac6e2f70e8
7 Ncbe3c167a0e8442ab38035514e3e6bf4
8 Nd042cac010c64887bdba391b96af670c
9 Nf96542c7183f4d04961aceddc57c24bf
10 anzsrc-for:03
11 anzsrc-for:0301
12 anzsrc-for:0304
13 anzsrc-for:0306
14 schema:author N5b4cdbb37eb84e478c1e3fb690071fe6
15 schema:citation sg:pub.10.1007/0-306-47595-2_7
16 sg:pub.10.1007/s0021663540455
17 sg:pub.10.1016/s1044-0305(01)00239-2
18 sg:pub.10.1016/s1044-0305(96)00256-5
19 sg:pub.10.1016/s1044-0305(98)00069-5
20 sg:pub.10.1016/s1044-0305(99)00126-9
21 sg:pub.10.1038/20400
22 sg:pub.10.1038/86573
23 schema:datePublished 2002-03-01
24 schema:datePublishedReg 2002-03-01
25 schema:description The molecular scanner combines protein separation using gel electrophoresis with peptide mass fingerprinting (PMF) techniques to identify proteins in a highly automated manner. Proteins separated in a 2-dimensional polyacrylamide gel (2-D PAGE) are digested in parallel and transferred onto a membrane keeping their relative positions. The membrane is then sprayed with a matrix and inserted into a matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer, which measures a peptide mass fingerprint at each site on the scanned grid. First, visualization of PMF data allows surveying all fingerprints at once and provides very useful information on the presence of chemical noise. Chemical noise is shown to be a potential source for erroneous identifications and is therefore purged from the mass fingerprints. Then, the correlation between neighboring spectra is used to recalibrate the peptide masses. Finally, a method that clusters peptide masses according to the similarity of the spatial distributions of their signal intensities is presented. This method allows discarding many of the false positives that usually go along with PMF identifications and allows identifying many weakly expressed proteins present in the gel.
26 schema:genre article
27 schema:inLanguage en
28 schema:isAccessibleForFree true
29 schema:isPartOf N5f31c3b675504570b87187597d326a74
30 Nf34739fd49ab4549b9c2a1f5f69e3004
31 sg:journal.1100508
32 schema:keywords PMF data
33 PMF identification
34 analysis
35 chemical noise
36 clusters
37 correlation
38 data
39 desorption/ionization time
40 distribution
41 electrophoresis
42 erroneous identification
43 false positives
44 fingerprinting techniques
45 fingerprints
46 flight mass spectrometer
47 gel
48 gel electrophoresis
49 grid
50 identification
51 information
52 intensity
53 ionization time
54 laser desorption/ionization time
55 manner
56 mass
57 mass fingerprint
58 mass fingerprinting technique
59 mass spectrometer
60 matrix
61 matrix-assisted laser desorption/ionization time
62 membrane
63 method
64 molecular scanner
65 molecular scanner peptide mass
66 noise
67 parallel
68 peptide mass fingerprint
69 peptide mass fingerprinting technique
70 peptide masses
71 polyacrylamide gels
72 position
73 positives
74 potential source
75 presence
76 protein
77 protein separation
78 relative position
79 scanned grid
80 scanner
81 scanner peptide mass
82 separation
83 signal intensity
84 similarity
85 sites
86 source
87 spatial distribution
88 spectra
89 spectrometer
90 technique
91 time
92 useful information
93 visualization
94 schema:name Visualization and analysis of molecular scanner peptide mass spectra
95 schema:pagination 221-231
96 schema:productId N320930caa1174ae68821b99191bda6f0
97 N6523c048c7974562a77dac2c1cae7bee
98 Nc39d909dcb414c3887ab086fcdce9ecd
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012383186
100 https://doi.org/10.1016/s1044-0305(01)00358-0
101 schema:sdDatePublished 2021-11-01T18:05
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher Nc43f2c34b005459c81b7575149936078
104 schema:url https://doi.org/10.1016/s1044-0305(01)00358-0
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N152de377b1264ec1bdcdf4bffc3e8558 rdf:first sg:person.0712313416.43
109 rdf:rest Nbb62ed30580140b2b352ba95bd11c1e2
110 N1c1ea2c640274b1b805ce3a338cc9598 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name DNA Fingerprinting
112 rdf:type schema:DefinedTerm
113 N206a040fe1a9404f967d3b452b09f79c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Algorithms
115 rdf:type schema:DefinedTerm
116 N320930caa1174ae68821b99191bda6f0 schema:name doi
117 schema:value 10.1016/s1044-0305(01)00358-0
118 rdf:type schema:PropertyValue
119 N3507cf5504f84aed953fff757e7b41cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Cluster Analysis
121 rdf:type schema:DefinedTerm
122 N421216f702df48ad83854b3a97d906a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Calibration
124 rdf:type schema:DefinedTerm
125 N5843f3af4bd74346adb46882b1e80aae rdf:first sg:person.01316735750.96
126 rdf:rest rdf:nil
127 N5b4cdbb37eb84e478c1e3fb690071fe6 rdf:first sg:person.0733663303.51
128 rdf:rest N152de377b1264ec1bdcdf4bffc3e8558
129 N5f31c3b675504570b87187597d326a74 schema:volumeNumber 13
130 rdf:type schema:PublicationVolume
131 N6523c048c7974562a77dac2c1cae7bee schema:name pubmed_id
132 schema:value 11908802
133 rdf:type schema:PropertyValue
134 N7c24bbcbafa5415683d05006e3180819 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Bacterial Proteins
136 rdf:type schema:DefinedTerm
137 N95cb717a41c149388f2706ac6e2f70e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Escherichia coli
139 rdf:type schema:DefinedTerm
140 Nbb62ed30580140b2b352ba95bd11c1e2 rdf:first sg:person.0731173720.50
141 rdf:rest Nd570df3f26bf4bdd9b39b350e0c34c74
142 Nc39d909dcb414c3887ab086fcdce9ecd schema:name dimensions_id
143 schema:value pub.1012383186
144 rdf:type schema:PropertyValue
145 Nc43f2c34b005459c81b7575149936078 schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 Ncbe3c167a0e8442ab38035514e3e6bf4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Electrophoresis, Polyacrylamide Gel
149 rdf:type schema:DefinedTerm
150 Nd042cac010c64887bdba391b96af670c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Peptides
152 rdf:type schema:DefinedTerm
153 Nd570df3f26bf4bdd9b39b350e0c34c74 rdf:first sg:person.01363413131.75
154 rdf:rest N5843f3af4bd74346adb46882b1e80aae
155 Nf34739fd49ab4549b9c2a1f5f69e3004 schema:issueNumber 3
156 rdf:type schema:PublicationIssue
157 Nf96542c7183f4d04961aceddc57c24bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Mass Spectrometry
159 rdf:type schema:DefinedTerm
160 anzsrc-for:03 schema:inDefinedTermSet anzsrc-for:
161 schema:name Chemical Sciences
162 rdf:type schema:DefinedTerm
163 anzsrc-for:0301 schema:inDefinedTermSet anzsrc-for:
164 schema:name Analytical Chemistry
165 rdf:type schema:DefinedTerm
166 anzsrc-for:0304 schema:inDefinedTermSet anzsrc-for:
167 schema:name Medicinal and Biomolecular Chemistry
168 rdf:type schema:DefinedTerm
169 anzsrc-for:0306 schema:inDefinedTermSet anzsrc-for:
170 schema:name Physical Chemistry (incl. Structural)
171 rdf:type schema:DefinedTerm
172 sg:journal.1100508 schema:issn 1044-0305
173 1879-1123
174 schema:name Journal of The American Society for Mass Spectrometry
175 schema:publisher American Chemical Society (ACS)
176 rdf:type schema:Periodical
177 sg:person.01316735750.96 schema:affiliation grid-institutes:grid.8591.5
178 schema:familyName Hochstrasser
179 schema:givenName Denis F.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316735750.96
181 rdf:type schema:Person
182 sg:person.01363413131.75 schema:affiliation grid-institutes:grid.150338.c
183 schema:familyName Bienvenut
184 schema:givenName Willy V.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01363413131.75
186 rdf:type schema:Person
187 sg:person.0712313416.43 schema:affiliation grid-institutes:grid.8591.5
188 schema:familyName Gras
189 schema:givenName Robin
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712313416.43
191 rdf:type schema:Person
192 sg:person.0731173720.50 schema:affiliation grid-institutes:grid.8591.5
193 schema:familyName Appel
194 schema:givenName Ron D.
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731173720.50
196 rdf:type schema:Person
197 sg:person.0733663303.51 schema:affiliation grid-institutes:grid.8591.5
198 schema:familyName Müller
199 schema:givenName Markus
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733663303.51
201 rdf:type schema:Person
202 sg:pub.10.1007/0-306-47595-2_7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031887439
203 https://doi.org/10.1007/0-306-47595-2_7
204 rdf:type schema:CreativeWork
205 sg:pub.10.1007/s0021663540455 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013639015
206 https://doi.org/10.1007/s0021663540455
207 rdf:type schema:CreativeWork
208 sg:pub.10.1016/s1044-0305(01)00239-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010462102
209 https://doi.org/10.1016/s1044-0305(01)00239-2
210 rdf:type schema:CreativeWork
211 sg:pub.10.1016/s1044-0305(96)00256-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010751062
212 https://doi.org/10.1016/s1044-0305(96)00256-5
213 rdf:type schema:CreativeWork
214 sg:pub.10.1016/s1044-0305(98)00069-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031318143
215 https://doi.org/10.1016/s1044-0305(98)00069-5
216 rdf:type schema:CreativeWork
217 sg:pub.10.1016/s1044-0305(99)00126-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017594083
218 https://doi.org/10.1016/s1044-0305(99)00126-9
219 rdf:type schema:CreativeWork
220 sg:pub.10.1038/20400 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003898621
221 https://doi.org/10.1038/20400
222 rdf:type schema:CreativeWork
223 sg:pub.10.1038/86573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006375277
224 https://doi.org/10.1038/86573
225 rdf:type schema:CreativeWork
226 grid-institutes:grid.150338.c schema:alternateName Clinical Chemistry Laboratory, Geneva University Hospital, Geneva, Switzerland
227 schema:name Clinical Chemistry Laboratory, Geneva University Hospital, Geneva, Switzerland
228 rdf:type schema:Organization
229 grid-institutes:grid.8591.5 schema:alternateName CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland
230 University of Geneva, Geneva, Switzerland
231 schema:name CMU, Swiss Institute of Bioinformatics, 1 rue Michel-Servet, CH-1211, Geneva 4, Switzerland
232 Clinical Chemistry Laboratory, Geneva University Hospital, Geneva, Switzerland
233 University of Geneva, Geneva, Switzerland
234 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...