메뉴 건너뛰기




Volumn 18, Issue 6, 2014, Pages 335-343

MOPED 2.5-an integrated multi-omics resource: Multi-omics profiling expression database now includes transcriptomics data

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICINE; GENE EXPRESSION; HUMAN; INFORMATION PROCESSING; MEASUREMENT ACCURACY; MULTI OMICS PROFILING EXPRESSION DATABASE; PRIORITY JOURNAL; PROFESSIONAL KNOWLEDGE; PROTEIN DATABASE; PROTEIN EXPRESSION; PROTEOMICS; REPRODUCIBILITY; RESOURCE MANAGEMENT; REVIEW; TRANSCRIPTOMICS; ANIMAL; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; GENETIC DATABASE; INFORMATION DISSEMINATION; PROCEDURES;

EID: 84902265781     PISSN: 15362310     EISSN: 15578100     Source Type: Journal    
DOI: 10.1089/omi.2014.0061     Document Type: Review
Times cited : (43)

References (68)
  • 2
    • 79956341522 scopus 로고    scopus 로고
    • Bioinformatics and data-intensive scientific discovery in the beginning of the 21st century
    • Barga R, Howe B, Beck D, et al. (2011). Bioinformatics and data-intensive scientific discovery in the beginning of the 21st century. Omics 15, 199-201.
    • (2011) Omics , vol.15 , pp. 199-201
    • Barga, R.1    Howe, B.2    Beck, D.3
  • 3
    • 84874271270 scopus 로고    scopus 로고
    • NCBI GEO: Archive for functional genomics data sets-update
    • Barrett T, Wilhite SE, Ledoux P, et al. (2012). NCBI GEO: Archive for functional genomics data sets-update. Nucleic Acids Res 41, D991-D995.
    • (2012) Nucleic Acids Res , vol.41
    • Barrett, T.1    Wilhite, S.E.2    Ledoux, P.3
  • 6
    • 38549174065 scopus 로고    scopus 로고
    • The Mouse Genome Database (MGD): Mouse biology and model systems
    • and the Mouse Genome Database Group.
    • Bult CJ, Eppig JT, Kadin JA, Richardson JE, Blake JA, and the Mouse Genome Database Group. (2007). The Mouse Genome Database (MGD): Mouse biology and model systems. Nucleic Acids Res 36, D724-D728.
    • (2007) Nucleic Acids Res , vol.36
    • Bult, C.J.1    Eppig, J.T.2    Kadin, J.A.3    Richardson, J.E.4    Blake, J.A.5
  • 7
    • 75549090505 scopus 로고    scopus 로고
    • The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
    • Caspi R, Altman T, Dale JM, et al. (2010). The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res 38, D473-479.
    • (2010) Nucleic Acids Res , vol.38
    • Caspi, R.1    Altman, T.2    Dale, J.M.3
  • 8
    • 84891774001 scopus 로고    scopus 로고
    • The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases
    • Caspi R, Altman T, Billington R, et al. (2014). The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases. Nucleic Acids Res 42, D459-D471.
    • (2014) Nucleic Acids Res , vol.42
    • Caspi, R.1    Altman, T.2    Billington, R.3
  • 9
    • 84896723395 scopus 로고    scopus 로고
    • 5b-Reduced steroids and human D(4)-3-ketosteroid 5b-reductase (AKR1D1)
    • Chen M, and Penning TM. (2014). 5b-Reduced steroids and human D(4)-3-ketosteroid 5b-reductase (AKR1D1). Steroids 83, 17-26.
    • (2014) Steroids , vol.83 , pp. 17-26
    • Chen, M.1    Penning, T.M.2
  • 10
    • 84858433310 scopus 로고    scopus 로고
    • Personal omics profiling reveals dynamic molecular and medical phenotypes
    • Chen R, Mias GI, Li-Pook-Than J, et al. (2012). Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell 148, 1293-1307.
    • (2012) Cell , vol.148 , pp. 1293-1307
    • Chen, R.1    Mias, G.I.2    Li-Pook-Than, J.3
  • 11
    • 84858588614 scopus 로고    scopus 로고
    • Sacchar-omyces Genome Database: The genomics resource of budding yeast
    • Cherry JM, Hong EL, Amundsen C, et al. (2012). Sacchar-omyces Genome Database: The genomics resource of budding yeast. Nucleic Acids Res 40, D700-705.
    • (2012) Nucleic Acids Res , vol.40
    • Cherry, J.M.1    Hong, E.L.2    Amundsen, C.3
  • 12
    • 3142702204 scopus 로고    scopus 로고
    • TANDEM: Matching proteins with tandem mass spectra
    • Craig R, Beavis RC. (2004). TANDEM: matching proteins with tandem mass spectra. Bioinformatics 20, 1466-1467.
    • (2004) Bioinformatics , vol.20 , pp. 1466-1467
    • Craig, R.1    Beavis, R.C.2
  • 14
    • 33644876912 scopus 로고    scopus 로고
    • The PeptideAtlas project
    • Desiere F. (2006). The PeptideAtlas project. Nucleic Acids Res 34, D655-D658.
    • (2006) Nucleic Acids Res , vol.34
    • Desiere, F.1
  • 15
    • 0036081355 scopus 로고    scopus 로고
    • Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
    • Edgar R, Domrachev M, and Lash AE. (2002). Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 30, 207-210.
    • (2002) Nucleic Acids Res , vol.30 , pp. 207-210
    • Edgar, R.1    Domrachev, M.2    Lash, A.E.3
  • 18
  • 20
    • 77953861977 scopus 로고    scopus 로고
    • Estimating false discovery rates for peptide and protein identification using randomized databases
    • Hather G, Higdon R, Bauman A, von Haller PD, and Kolker E. (2010). Estimating false discovery rates for peptide and protein identification using randomized databases. Proteomics 10, 2369-2376.
    • (2010) Proteomics , vol.10 , pp. 2369-2376
    • Hather, G.1    Higdon, R.2    Bauman, A.3    Von Haller, P.D.4    Kolker, E.5
  • 22
    • 43349084908 scopus 로고    scopus 로고
    • A note on the false discovery rate and inconsistent comparisons between experiments
    • Higdon R, van Belle G, and Kolker E. (2008). A note on the false discovery rate and inconsistent comparisons between experiments. Bioinformatics 24, 1225-1228.
    • (2008) Bioinformatics , vol.24 , pp. 1225-1228
    • Higdon, R.1    Van Belle, G.2    Kolker, E.3
  • 23
    • 84858713354 scopus 로고    scopus 로고
    • IPM: An integrated protein model for false discovery rate estimation and identification in high-throughput proteomics
    • Higdon R, Reiter L, Hather G, et al. (2011). IPM: An integrated protein model for false discovery rate estimation and identification in high-throughput proteomics. J Proteomics 75, 116-121.
    • (2011) J Proteomics , vol.75 , pp. 116-121
    • Higdon, R.1    Reiter, L.2    Hather, G.3
  • 24
    • 84920279304 scopus 로고    scopus 로고
    • Unraveling the complexities of life sciences data
    • Higdon R, Haynes W, Stanberry L, et al. (2013). Unraveling the complexities of life sciences data. Big Data 1, 42-50.
    • (2013) Big Data , vol.1 , pp. 42-50
    • Higdon, R.1    Haynes, W.2    Stanberry, L.3
  • 25
    • 84891772561 scopus 로고    scopus 로고
    • MOPED enables discoveries through consistently processed proteomics data
    • Higdon R, Stewart E, Stanberry L, et al. (2014). MOPED enables discoveries through consistently processed proteomics data. J Proteome Res 13, 107-113.
    • (2014) J Proteome Res , vol.13 , pp. 107-113
    • Higdon, R.1    Stewart, E.2    Stanberry, L.3
  • 26
    • 84898045710 scopus 로고    scopus 로고
    • Joint analysis of SNP and gene expression data in genetic association studies of complex diseases
    • Huang Y-T, VanderWeele TJ, Lin X. (2014). Joint analysis of SNP and gene expression data in genetic association studies of complex diseases. The Annals of Applied Statistics 8, 352-376.
    • (2014) The Annals of Applied Statistics , vol.8 , pp. 352-376
    • Huang, Y.-T.1    Vanderweele, T.J.2    Lin, X.3
  • 27
    • 84921764709 scopus 로고    scopus 로고
    • Integrative modeling of multiple genomic data from different types of genetic association studies
    • Huang Y-T. (2014). Integrative modeling of multiple genomic data from different types of genetic association studies. Biostatistics (Oxford, England).
    • (2014) Biostatistics (Oxford, England)
    • Huang, Y.-T.1
  • 28
    • 82755192534 scopus 로고    scopus 로고
    • Improving validation practices in "omics" research
    • Ioannidis JPA, and Khoury MJ. (2011). Improving validation practices in "omics" research. Science 334, 1230-1232.
    • (2011) Science , vol.334 , pp. 1230-1232
    • Jpa, I.1    Khoury, M.J.2
  • 29
    • 0033982936 scopus 로고    scopus 로고
    • KEGG: Kyoto encyclopedia of genes and genomes
    • Kanehisa M, and Goto S. (2000). KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res 28, 27-30.
    • (2000) Nucleic Acids Res , vol.28 , pp. 27-30
    • Kanehisa, M.1    Goto, S.2
  • 31
    • 84861123691 scopus 로고    scopus 로고
    • Ten years of pathway analysis: Current approaches and outstanding challenges
    • Khatri P, Sirota M, and Butte AJ. (2012). Ten years of pathway analysis: Current approaches and outstanding challenges. PLoS Comput Biol 8, e1002375.
    • (2012) PLoS Comput Biol , vol.8
    • Khatri, P.1    Sirota, M.2    Butte, A.J.3
  • 32
    • 84878992073 scopus 로고    scopus 로고
    • Reproducibility: In praise of open research measures
    • Kolker E, Altintas I, Bourne P, et al. (2013). Reproducibility: In praise of open research measures. Nature 498, 170-170.
    • (2013) Nature , vol.498 , pp. 170-170
    • Kolker, E.1    Altintas, I.2    Bourne, P.3
  • 33
    • 84858743300 scopus 로고    scopus 로고
    • SPIRE: Systematic protein investigative research environment
    • Kolker E, Higdon R, Welch D, et al. (2011). SPIRE: Systematic protein investigative research environment. J Proteomics 75, 122-126.
    • (2011) J Proteomics , vol.75 , pp. 122-126
    • Kolker, E.1    Higdon, R.2    Welch, D.3
  • 34
    • 84862209165 scopus 로고    scopus 로고
    • MOPED: Model Organism Protein Expression Database
    • Kolker E, Higdon R, Haynes W, et al. (2012a). MOPED: Model Organism Protein Expression Database. Nucleic Acids Res 40, D1093-1099.
    • (2012) Nucleic Acids Res , vol.40
    • Kolker, E.1    Higdon, R.2    Haynes, W.3
  • 35
    • 84862215795 scopus 로고    scopus 로고
    • Corrigendum to "sPIRE: Systematic Protein Investigative Research Environment" [J. Proteomics 75 (1) (2011) 122-126]
    • Kolker E, Higdon R, Welch D, et al. (2012b). Corrigendum to "SPIRE: Systematic Protein Investigative Research Environment" [J. Proteomics 75 (1) (2011) 122-126]. J Pro-teomics 75, 3789.
    • (2012) J Pro-teomics , vol.75 , pp. 3789
    • Kolker, E.1    Higdon, R.2    Welch, D.3
  • 36
    • 84865258579 scopus 로고    scopus 로고
    • DELSA Global for "big Data" and the bioeconomy: Catalyzing collective innovation
    • Kolker E, Stewart E, and Ozdemir V. (2012c). DELSA Global for "Big Data" and the bioeconomy: Catalyzing collective innovation. Indust Biotechnol 8, 176-178.
    • (2012) Indust Biotechnol , vol.8 , pp. 176-178
    • Kolker, E.1    Stewart, E.2    Ozdemir, V.3
  • 37
    • 13444272087 scopus 로고    scopus 로고
    • Entrez Gene: Gene-centered information at NCBI
    • Maglott D. (2004). Entrez Gene: Gene-centered information at NCBI. Nucleic Acids Res 33, D54-D58.
    • (2004) Nucleic Acids Res , vol.33
    • Maglott, D.1
  • 38
  • 39
    • 79953684044 scopus 로고    scopus 로고
    • Exploratory analysis of multiple omics datasets using the adjusted RV coefficient
    • Mayer C-D, Lorent J, and Horgan GW. (2011). Exploratory analysis of multiple omics datasets using the adjusted RV coefficient. Statist Applicat Genetics Mol Biol 10, Article 14.
    • (2011) Statist Applicat Genetics Mol Biol , vol.10 , pp. 14
    • Mayer, C.-D.1    Lorent, J.2    Horgan, G.W.3
  • 40
    • 84874969184 scopus 로고    scopus 로고
    • PANTHER in 2013: Modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees
    • Mi H, Muruganujan A, and Thomas PD. (2013). PANTHER in 2013: Modeling the evolution of gene function, and other gene attributes, in the context of phylogenetic trees. Nucleic Acids Res 41, D377-386.
    • (2013) Nucleic Acids Res , vol.41
    • Mi, H.1    Muruganujan, A.2    Thomas, P.D.3
  • 41
    • 84871602426 scopus 로고    scopus 로고
    • Annotating cancer variants and anti-cancer therapeutics in reactome
    • Milacic M, Haw R, Rothfels K, et al. (2012). Annotating cancer variants and anti-cancer therapeutics in reactome. Cancers 4, 1180-1211.
    • (2012) Cancers , vol.4 , pp. 1180-1211
    • Milacic, M.1    Haw, R.2    Rothfels, K.3
  • 42
    • 84902253436 scopus 로고    scopus 로고
    • Reporting Checklist for Life Science Articles
    • Nature's Guide for Authors
    • Nature's Guide for Authors (2013a). Reporting Checklist for Life Science Articles. Nature: http://www.nature.com/authors/policies/checklist.pdf
    • (2013) Nature
  • 43
    • 84878650332 scopus 로고    scopus 로고
    • Announcement: Reducing our irre-producibility
    • Nature's Editorial
    • Nature's Editorial (2013b). Announcement: Reducing our irre-producibility. Nature 496, 398. http://www.nature.com/news/announcement- reducing-our-irreproducibility-1.12852
    • (2013) Nature , vol.496 , pp. 398
  • 44
    • 84897546311 scopus 로고    scopus 로고
    • Integration of the expression data with network-based analysis to identify signaling and metabolic pathways regulated during the development of osteoarthritis
    • Olex AL, Turkett WH, Fetrow JS, Loeser RF (2014). Integration of the expression data with network-based analysis to identify signaling and metabolic pathways regulated during the development of osteoarthritis. Gene 542, 38-45.
    • (2014) Gene , vol.542 , pp. 38-45
    • Olex, A.L.1    Turkett, W.H.2    Fetrow, J.S.3    Loeser, R.F.4
  • 45
    • 83455186287 scopus 로고    scopus 로고
    • Towards an ecology of collective innovation: Human Variome Project (HVP), Rare Disease Consortium for Autosomal Loci (RaDiCAL) and Data-Enabled Life Sciences Alliance (DELSA)
    • Ozdemir V, Rosenblatt DS, Warnich L, et al. (2011a). Towards an ecology of collective innovation: Human Variome Project (HVP), Rare Disease Consortium for Autosomal Loci (RaDiCAL) and Data-Enabled Life Sciences Alliance (DELSA). Curr Pharmacogenom Personalized Med 9, 243-251.
    • (2011) Curr Pharmacogenom Personalized Med , vol.9 , pp. 243-251
    • Ozdemir, V.1    Rosenblatt, D.S.2    Warnich, L.3
  • 46
    • 79956341336 scopus 로고    scopus 로고
    • Policy and data-intensive scientific discovery in the beginning of the 21st century
    • Ozdemir V, Smith C, Bongiovanni K, et al. (2011b). Policy and data-intensive scientific discovery in the beginning of the 21st century. OMICS 15, 221-225.
    • (2011) OMICS , vol.15 , pp. 221-225
    • Ozdemir, V.1    Smith, C.2    Bongiovanni, K.3
  • 47
    • 84863229647 scopus 로고    scopus 로고
    • The Chromosome-Centric Human Proteome Project for cataloging proteins encoded in the genome
    • Paik Y-K, Jeong S-K, Omenn GS, et al. (2012). The Chromosome-Centric Human Proteome Project for cataloging proteins encoded in the genome. Nature Biotechnol 30, 221-223.
    • (2012) Nature Biotechnol , vol.30 , pp. 221-223
    • Paik, Y.-K.1    Jeong, S.-K.2    Omenn, G.S.3
  • 48
    • 78651284406 scopus 로고    scopus 로고
    • ArrayExpress update-An archive of microarray and high-throughput sequencing-based functional genomics experiments
    • Parkinson H, Sarkans U, Kolesnikov N, et al. (2011). ArrayExpress update-An archive of microarray and high-throughput sequencing-based functional genomics experiments. Nucleic Acids Res 39, D1002-1004.
    • (2011) Nucleic Acids Res , vol.39
    • Parkinson, H.1    Sarkans, U.2    Kolesnikov, N.3
  • 49
    • 84878218620 scopus 로고    scopus 로고
    • IPOP goes the world: Integrated personalized omics profiling and the road toward improved health care
    • Li-Pook-Than J, and Snyder M. (2013). iPOP goes the world: Integrated personalized omics profiling and the road toward improved health care. Chem Biol 20, 660-666.
    • (2013) Chem Biol , vol.20 , pp. 660-666
    • Li-Pook-Than, J.1    Snyder, M.2
  • 50
    • 84891767394 scopus 로고    scopus 로고
    • RefSeq: An update on mammalian reference sequences
    • Pruitt KD, Brown GR, Hiatt SM, et al. (2014). RefSeq: An update on mammalian reference sequences. Nucleic Acids Res 42, D756-763.
    • (2014) Nucleic Acids Res , vol.42
    • Pruitt, K.D.1    Brown, G.R.2    Hiatt, S.M.3
  • 51
    • 84863304598 scopus 로고    scopus 로고
    • R Core Team. R Foundation for Statistical Computing, Vienna, Austria
    • R Core Team. (2013). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-project.org/.
    • (2013) R: A Language and Environment for Statistical Computing
  • 52
    • 0031114483 scopus 로고    scopus 로고
    • GeneCards: Integrating information about genes, proteins and diseases
    • Rebhan M, Chalifa-Caspi V, Prilusky J, and Lancet D. (1997). GeneCards: Integrating information about genes, proteins and diseases. Trends Genetics 13, 163.
    • (1997) Trends Genetics , vol.13 , pp. 163
    • Rebhan, M.1    Chalifa-Caspi, V.2    Prilusky, J.3    Lancet, D.4
  • 53
    • 84863794063 scopus 로고    scopus 로고
    • Targeted proteomics of the eicosanoid biosynthetic pathway completes an integrated genomics-proteomics-metabolomics picture of cellular metabolism
    • Sabidó E, Quehenberger O, Shen Q, et al. (2012). Targeted proteomics of the eicosanoid biosynthetic pathway completes an integrated genomics-proteomics-metabolomics picture of cellular metabolism. Mol Cell Proteomics 11, M111.014746.
    • (2012) Mol Cell Proteomics , vol.11
    • Sabidó, E.1    Quehenberger, O.2    Shen, Q.3
  • 54
    • 84859361270 scopus 로고    scopus 로고
    • Multi-variate methods for the integration and visualization of omics data
    • A.T. Freitas, and A. Navarro, eds. (Springer Berlin Heidelberg)
    • Sánchez A, Fernández-Real J, Vegas E, et al. (2012). Multi-variate methods for the integration and visualization of omics data. In Bioinformatics for Personalized Medicine, A.T. Freitas, and A. Navarro, eds. (Springer Berlin Heidelberg) pp. 29-41.
    • (2012) Bioinformatics for Personalized Medicine , pp. 29-41
    • Sánchez, A.1    Fernández-Real, J.2    Vegas, E.3
  • 55
    • 33644872577 scopus 로고    scopus 로고
    • Limma: Linear models for microarray data
    • R. Gentleman, V. Carey, S. Dudoit, R. Ir-izarry, W. Huber, eds. (New York: Springer)
    • Smyth GK. (2005). Limma: linear models for microarray data. In Bioinformatics and Computational Biology Solutions Using R and Bioconductor, R. Gentleman, V. Carey, S. Dudoit, R. Ir-izarry, W. Huber, eds. (New York: Springer): pp. 397-420.
    • (2005) Bioinformatics and Computational Biology Solutions Using R and Bioconductor , pp. 397-420
    • Smyth, G.K.1
  • 56
    • 84893098651 scopus 로고    scopus 로고
    • Metadata checklist for the integrated personal omics study: Proteomics and metabolomics experiments
    • Snyder M, Mias G, Stanberry L, and Kolker E. (2014). Metadata checklist for the integrated personal omics study: Proteomics and metabolomics experiments. OMICS 18, 81-85 also in Big Data 1(4): 202-206.
    • (2014) OMICS 18, 81-85 Also in Big Data , vol.1 , Issue.4 , pp. 202-206
    • Snyder, M.1    Mias, G.2    Stanberry, L.3    Kolker, E.4
  • 57
    • 84885439252 scopus 로고    scopus 로고
    • Whole genome methylation array analysis reveals new aspects in Balkan endemic nephropathy etiology
    • Staneva R, Rukova B, Hadjidekova S, et al. (2013). Whole genome methylation array analysis reveals new aspects in Balkan endemic nephropathy etiology. BMC Nephrology 14, 225.
    • (2013) BMC Nephrology , vol.14 , pp. 225
    • Staneva, R.1    Rukova, B.2    Hadjidekova, S.3
  • 58
    • 84866062801 scopus 로고    scopus 로고
    • Proteomics and systems biology for understanding diabetic nephropathy
    • Starkey JM, and Tilton RG. (2012). Proteomics and systems biology for understanding diabetic nephropathy. J Cardiovasc Translat Res 5, 479-490.
    • (2012) J Cardiovasc Translat Res , vol.5 , pp. 479-490
    • Starkey, J.M.1    Tilton, R.G.2
  • 59
    • 84860615255 scopus 로고    scopus 로고
    • In-silico human ge-nomics with GeneCards
    • Stelzer G, Dalah I, Stein TI, et al. (2011). In-silico human ge-nomics with GeneCards. Human Genomics 5, 709-717.
    • (2011) Human Genomics , vol.5 , pp. 709-717
    • Stelzer, G.1    Dalah, I.2    Stein, T.I.3
  • 60
    • 27344435774 scopus 로고    scopus 로고
    • Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
    • Subramanian A, Tamayo P, Mootha VK, et al. (2005). Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 102, 15545-15550.
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 15545-15550
    • Subramanian, A.1    Tamayo, P.2    Mootha, V.K.3
  • 61
    • 84891783174 scopus 로고    scopus 로고
    • Activities at the Universal Protein Resource (UniProt)
    • The UniProt Consortium
    • The UniProt Consortium. (2014). Activities at the Universal Protein Resource (UniProt). Nucleic Acids Res 42, D191-D198.
    • (2014) Nucleic Acids Res , vol.42
  • 62
    • 84874762979 scopus 로고    scopus 로고
    • The PRo-teomics IDEntifications (PRIDE) database and associated tools: Status in 2013
    • Vizcáino JA, Côté RG, Csordas A, et al. (2013). The PRo-teomics IDEntifications (PRIDE) database and associated tools: Status in 2013. Nucleic Acids Res 41, D1063-1069.
    • (2013) Nucleic Acids Res , vol.41
    • Vizcáino, J.A.1    Côté, R.G.2    Csordas, A.3
  • 63
    • 84864817904 scopus 로고    scopus 로고
    • PaxDb, a database of protein abundance averages across all three domains of life
    • Wang M, Weiss M, Simonovic M, et al. (2012). PaxDb, a database of protein abundance averages across all three domains of life. Mol Cell Proteomics 11, 492-500.
    • (2012) Mol Cell Proteomics , vol.11 , pp. 492-500
    • Wang, M.1    Weiss, M.2    Simonovic, M.3
  • 64
    • 33644876253 scopus 로고    scopus 로고
    • Database resources of the National Center for Biotechnology Information
    • Wheeler DL, Barrett T, Benson DA, et al. (2006). Database resources of the National Center for Biotechnology Information. Nucleic Acids Res 34, D173-180.
    • (2006) Nucleic Acids Res , vol.34
    • Wheeler, D.L.1    Barrett, T.2    Benson, D.A.3
  • 65
    • 84898746692 scopus 로고    scopus 로고
    • Greatwall-phosphorylated Endosulfine is both an inhibitor and a substrate of PP2A-B55 heterotrimers
    • Williams BC, Filter JJ, Blake-Hodek KA, et al. (2014). Greatwall-phosphorylated Endosulfine is both an inhibitor and a substrate of PP2A-B55 heterotrimers. eLife 3, e01695.
    • (2014) ELife , vol.3
    • Williams, B.C.1    Filter, J.J.2    Blake-Hodek, K.A.3
  • 66
    • 77954197778 scopus 로고    scopus 로고
    • Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model
    • Yizhak K, Benyamini T, Liebermeister W, Ruppin E, and Shlomi T. (2010). Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. Bioinformatics 26, i255-i260.
    • (2010) Bioinformatics , vol.26
    • Yizhak, K.1    Benyamini, T.2    Liebermeister, W.3    Ruppin, E.4    Shlomi, T.5
  • 67
    • 84861207340 scopus 로고    scopus 로고
    • WormBase 2012: More genomes, more data, new website
    • Yook K, Harris TW, Bieri T, et al. (2012). WormBase 2012: More genomes, more data, new website. Nucleic Acids Res 40, D735-D741.
    • (2012) Nucleic Acids Res , vol.40
    • Yook, K.1    Harris, T.W.2    Bieri, T.3
  • 68
    • 76449115656 scopus 로고    scopus 로고
    • Integrating multiple "omics" analysis for microbial biology: Application and methodologies
    • Zhang W, Li F, and Nie L. (2010). Integrating multiple "omics" analysis for microbial biology: Application and methodologies. Microbiology 156, 287-301.
    • (2010) Microbiology , vol.156 , pp. 287-301
    • Zhang, W.1    Li, F.2    Nie, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.