CAREER: Modeling Dynamic Systems in the Cell View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2005-2011

FUNDING AMOUNT

852018.0 USD

ABSTRACT

Carnegie-Mellon University is awarded a grant to model dynamic systems in the cell. Gene expression is a temporal process and most systems in the cell are continuously regulated. New high-throughput biological techniques can generate large quantities of static and time series data. Time series experiments can be used to identify pathways and networks that are activated as a part of a biological system or in response to external stimulus. These methods hold the promise of revolutionizing molecular biology by providing a large-scale view of cellular activity. However, time series datasets also introduce many new computational challenges. In this project algorithms specifically designed for such experiments will be developed to take advantage of unique features in such data and address the unique problems they raise. This will be achieved by developing computational methods for the analysis of gene expression data and by combining different data sources using a variety of computational techniques. The educational component of this proposal will develop ways to teach and supervise computer science, biology and medical students by developing new classes at the graduate and undergraduate levels, by fostering close interactions with biologists in both research and training, and by helping develop and execute a joint PhD program in computational biology between Carnegie Mellon University and the University of Pittsburgh. More... »

URL

http://www.nsf.gov/awardsearch/showAward?AWD_ID=0448453&HistoricalAwards=false

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/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "USD", 
      "type": "MonetaryAmount", 
      "value": 852018.0
    }, 
    "description": "Carnegie-Mellon University is awarded a grant to model dynamic systems in the cell. Gene expression is a temporal process and most systems in the cell are continuously regulated. New high-throughput biological techniques can generate large quantities of static and time series data. Time series experiments can be used to identify pathways and networks that are activated as a part of a biological system or in response to external stimulus. These methods hold the promise of revolutionizing molecular biology by providing a large-scale view of cellular activity. However, time series datasets also introduce many new computational challenges. In this project algorithms specifically designed for such experiments will be developed to take advantage of unique features in such data and address the unique problems they raise. This will be achieved by developing computational methods for the analysis of gene expression data and by combining different data sources using a variety of computational techniques. The educational component of this proposal will develop ways to teach and supervise computer science, biology and medical students by developing new classes at the graduate and undergraduate levels, by fostering close interactions with biologists in both research and training, and by helping develop and execute a joint PhD program in computational biology between Carnegie Mellon University and the University of Pittsburgh.", 
    "endDate": "2011-06-30", 
    "funder": {
      "id": "http://www.grid.ac/institutes/grid.457768.f", 
      "type": "Organization"
    }, 
    "id": "sg:grant.3054413", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "grant.3054413"
        ]
      }, 
      {
        "name": "nsf_id", 
        "type": "PropertyValue", 
        "value": [
          "0448453"
        ]
      }
    ], 
    "keywords": [
      "Carnegie Mellon University", 
      "new computational challenges", 
      "dynamic systems", 
      "different data sources", 
      "time series datasets", 
      "high-throughput biological techniques", 
      "computer science", 
      "computational biology", 
      "series datasets", 
      "computational challenges", 
      "time series data", 
      "data sources", 
      "most systems", 
      "such data", 
      "series data", 
      "gene expression data", 
      "computational techniques", 
      "computational methods", 
      "expression data", 
      "system", 
      "dataset", 
      "network", 
      "unique problems", 
      "new class", 
      "unique features", 
      "large-scale view", 
      "biological systems", 
      "time series experiments", 
      "such experiments", 
      "technique", 
      "temporal processes", 
      "data", 
      "proposal", 
      "close interaction", 
      "experiments", 
      "method", 
      "series experiments", 
      "challenges", 
      "undergraduate level", 
      "project", 
      "large quantities", 
      "problem", 
      "features", 
      "advantages", 
      "class", 
      "University of Pittsburgh", 
      "biologists", 
      "training", 
      "gene expression", 
      "way", 
      "molecular biology", 
      "cellular activities", 
      "University", 
      "biological techniques", 
      "biology", 
      "view", 
      "quantity", 
      "science", 
      "research", 
      "educational component", 
      "process", 
      "variety", 
      "grants", 
      "program", 
      "cells", 
      "components", 
      "promise", 
      "part", 
      "external stimuli", 
      "source", 
      "analysis", 
      "pathway", 
      "students", 
      "interaction", 
      "expression", 
      "Pittsburgh", 
      "activity", 
      "medical students", 
      "PhD programs", 
      "response", 
      "levels", 
      "stimuli", 
      "graduates"
    ], 
    "name": "CAREER: Modeling Dynamic Systems in the Cell", 
    "recipient": [
      {
        "id": "http://www.grid.ac/institutes/grid.147455.6", 
        "type": "Organization"
      }, 
      {
        "affiliation": {
          "id": "http://www.grid.ac/institutes/None", 
          "name": "Carnegie-Mellon University", 
          "type": "Organization"
        }, 
        "familyName": "Bar-Joseph", 
        "givenName": "Ziv", 
        "id": "sg:person.0642257765.73", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.0642257765.73", 
        "roleName": "PI", 
        "type": "Role"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.3054413"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2022-10-01T07:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/grant/grant_44.jsonl", 
    "startDate": "2005-07-15", 
    "type": "MonetaryGrant", 
    "url": "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0448453&HistoricalAwards=false"
  }
]
 

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/grant.3054413'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.3054413'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.3054413'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.3054413'


 

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

127 TRIPLES      18 PREDICATES      103 URIs      95 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:grant.3054413 schema:about anzsrc-for:08
2 schema:amount N0becfc4699fa4d6982ddcc833626a7c9
3 schema:description Carnegie-Mellon University is awarded a grant to model dynamic systems in the cell. Gene expression is a temporal process and most systems in the cell are continuously regulated. New high-throughput biological techniques can generate large quantities of static and time series data. Time series experiments can be used to identify pathways and networks that are activated as a part of a biological system or in response to external stimulus. These methods hold the promise of revolutionizing molecular biology by providing a large-scale view of cellular activity. However, time series datasets also introduce many new computational challenges. In this project algorithms specifically designed for such experiments will be developed to take advantage of unique features in such data and address the unique problems they raise. This will be achieved by developing computational methods for the analysis of gene expression data and by combining different data sources using a variety of computational techniques. The educational component of this proposal will develop ways to teach and supervise computer science, biology and medical students by developing new classes at the graduate and undergraduate levels, by fostering close interactions with biologists in both research and training, and by helping develop and execute a joint PhD program in computational biology between Carnegie Mellon University and the University of Pittsburgh.
4 schema:endDate 2011-06-30
5 schema:funder grid-institutes:grid.457768.f
6 schema:identifier N243c0369f8ae48a2afd1c1d1f4e90891
7 N941700f0eda34a33966ae66a9c773da7
8 schema:keywords Carnegie Mellon University
9 PhD programs
10 Pittsburgh
11 University
12 University of Pittsburgh
13 activity
14 advantages
15 analysis
16 biological systems
17 biological techniques
18 biologists
19 biology
20 cells
21 cellular activities
22 challenges
23 class
24 close interaction
25 components
26 computational biology
27 computational challenges
28 computational methods
29 computational techniques
30 computer science
31 data
32 data sources
33 dataset
34 different data sources
35 dynamic systems
36 educational component
37 experiments
38 expression
39 expression data
40 external stimuli
41 features
42 gene expression
43 gene expression data
44 graduates
45 grants
46 high-throughput biological techniques
47 interaction
48 large quantities
49 large-scale view
50 levels
51 medical students
52 method
53 molecular biology
54 most systems
55 network
56 new class
57 new computational challenges
58 part
59 pathway
60 problem
61 process
62 program
63 project
64 promise
65 proposal
66 quantity
67 research
68 response
69 science
70 series data
71 series datasets
72 series experiments
73 source
74 stimuli
75 students
76 such data
77 such experiments
78 system
79 technique
80 temporal processes
81 time series data
82 time series datasets
83 time series experiments
84 training
85 undergraduate level
86 unique features
87 unique problems
88 variety
89 view
90 way
91 schema:name CAREER: Modeling Dynamic Systems in the Cell
92 schema:recipient Nfbff8a235f1943ed9a9223f8dd38f6a3
93 sg:person.0642257765.73
94 grid-institutes:grid.147455.6
95 schema:sameAs https://app.dimensions.ai/details/grant/grant.3054413
96 schema:sdDatePublished 2022-10-01T07:02
97 schema:sdLicense https://scigraph.springernature.com/explorer/license/
98 schema:sdPublisher Nf30a4d4d2a9a4347bfabf37b7e99d363
99 schema:startDate 2005-07-15
100 schema:url http://www.nsf.gov/awardsearch/showAward?AWD_ID=0448453&HistoricalAwards=false
101 sgo:license sg:explorer/license/
102 sgo:sdDataset grants
103 rdf:type schema:MonetaryGrant
104 N0becfc4699fa4d6982ddcc833626a7c9 schema:currency USD
105 schema:value 852018.0
106 rdf:type schema:MonetaryAmount
107 N243c0369f8ae48a2afd1c1d1f4e90891 schema:name dimensions_id
108 schema:value grant.3054413
109 rdf:type schema:PropertyValue
110 N941700f0eda34a33966ae66a9c773da7 schema:name nsf_id
111 schema:value 0448453
112 rdf:type schema:PropertyValue
113 Nf30a4d4d2a9a4347bfabf37b7e99d363 schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 Nfbff8a235f1943ed9a9223f8dd38f6a3 schema:member sg:person.0642257765.73
116 schema:roleName PI
117 rdf:type schema:Role
118 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
119 rdf:type schema:DefinedTerm
120 sg:person.0642257765.73 schema:affiliation grid-institutes:None
121 schema:familyName Bar-Joseph
122 schema:givenName Ziv
123 rdf:type schema:Person
124 grid-institutes:None schema:name Carnegie-Mellon University
125 rdf:type schema:Organization
126 grid-institutes:grid.147455.6 schema:Organization
127 grid-institutes:grid.457768.f schema:Organization
 




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


...