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Connection

Intawat Nookaew to Saccharomyces cerevisiae

This is a "connection" page, showing publications Intawat Nookaew has written about Saccharomyces cerevisiae.

 
Connection Strength
 
 
 
2.208
 
  1. Jenjaroenpun P, Wongsurawat T, Pereira R, Patumcharoenpol P, Ussery DW, Nielsen J, Nookaew I. Complete genomic and transcriptional landscape analysis using third-generation sequencing: a case study of Saccharomyces cerevisiae CEN.PK113-7D. Nucleic Acids Res. 2018 04 20; 46(7):e38.
    View in: PubMed
    Score: 0.564
  2. Nookaew I, Jewett MC, Meechai A, Thammarongtham C, Laoteng K, Cheevadhanarak S, Nielsen J, Bhumiratana S. The genome-scale metabolic model iIN800 of Saccharomyces cerevisiae and its validation: a scaffold to query lipid metabolism. BMC Syst Biol. 2008 Aug 07; 2:71.
    View in: PubMed
    Score: 0.288
  3. Nookaew I, Meechai A, Thammarongtham C, Laoteng K, Ruanglek V, Cheevadhanarak S, Nielsen J, Bhumiratana S. Identification of flux regulation coefficients from elementary flux modes: A systems biology tool for analysis of metabolic networks. Biotechnol Bioeng. 2007 Aug 15; 97(6):1535-49.
    View in: PubMed
    Score: 0.269
  4. Jenjaroenpun P, Wongsurawat T, Wadley TD, Wassenaar TM, Liu J, Dai Q, Wanchai V, Akel NS, Jamshidi-Parsian A, Franco AT, Boysen G, Jennings ML, Ussery DW, He C, Nookaew I. Decoding the epitranscriptional landscape from native RNA sequences. Nucleic Acids Res. 2021 01 25; 49(2):e7.
    View in: PubMed
    Score: 0.171
  5. Goossens KV, Ielasi FS, Nookaew I, Stals I, Alonso-Sarduy L, Daenen L, Van Mulders SE, Stassen C, van Eijsden RG, Siewers V, Delvaux FR, Kasas S, Nielsen J, Devreese B, Willaert RG. Molecular mechanism of flocculation self-recognition in yeast and its role in mating and survival. mBio. 2015 Apr 14; 6(2).
    View in: PubMed
    Score: 0.114
  6. Wanichthanarak K, Nookaew I, Petranovic D. yStreX: yeast stress expression database. Database (Oxford). 2014; 2014.
    View in: PubMed
    Score: 0.109
  7. Khoomrung S, Chumnanpuen P, Jansa-Ard S, St?hlman M, Nookaew I, Bor?n J, Nielsen J. Rapid quantification of yeast lipid using microwave-assisted total lipid extraction and HPLC-CAD. Anal Chem. 2013 May 21; 85(10):4912-9.
    View in: PubMed
    Score: 0.100
  8. ?sterlund T, Nookaew I, Bordel S, Nielsen J. Mapping condition-dependent regulation of metabolism in yeast through genome-scale modeling. BMC Syst Biol. 2013 Apr 30; 7:36.
    View in: PubMed
    Score: 0.100
  9. V?remo L, Nielsen J, Nookaew I. Enriching the gene set analysis of genome-wide data by incorporating directionality of gene expression and combining statistical hypotheses and methods. Nucleic Acids Res. 2013 Apr; 41(8):4378-91.
    View in: PubMed
    Score: 0.099
  10. Papini M, Nookaew I, Uhl?n M, Nielsen J. Scheffersomyces stipitis: a comparative systems biology study with the Crabtree positive yeast Saccharomyces cerevisiae. Microb Cell Fact. 2012 Oct 09; 11:136.
    View in: PubMed
    Score: 0.096
  11. Nookaew I, Papini M, Pornputtapong N, Scalcinati G, Fagerberg L, Uhl?n M, Nielsen J. A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae. Nucleic Acids Res. 2012 Nov 01; 40(20):10084-97.
    View in: PubMed
    Score: 0.096
  12. Khoomrung S, Chumnanpuen P, Jansa-ard S, Nookaew I, Nielsen J. Fast and accurate preparation fatty acid methyl esters by microwave-assisted derivatization in the yeast Saccharomyces cerevisiae. Appl Microbiol Biotechnol. 2012 Jun; 94(6):1637-46.
    View in: PubMed
    Score: 0.093
  13. Papini M, Nookaew I, Scalcinati G, Siewers V, Nielsen J. Phosphoglycerate mutase knock-out mutant Saccharomyces cerevisiae: physiological investigation and transcriptome analysis. Biotechnol J. 2010 Oct; 5(10):1016-27.
    View in: PubMed
    Score: 0.083
  14. Garcia-Albornoz M, Thankaswamy-Kosalai S, Nilsson A, V?remo L, Nookaew I, Nielsen J. BioMet Toolbox 2.0: genome-wide analysis of metabolism and omics data. Nucleic Acids Res. 2014 Jul; 42(Web Server issue):W175-81.
    View in: PubMed
    Score: 0.027
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.