 Connection
Intawat Nookaew to Software
This is a "connection" page, showing publications Intawat Nookaew has written about Software.
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Connection Strength |
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2.003 |
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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.
Score: 0.648
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Thankaswamy-Kosalai S, Sen P, Nookaew I. Evaluation and assessment of read-mapping by multiple next-generation sequencing aligners based on genome-wide characteristics. Genomics. 2017 07; 109(3-4):186-191.
Score: 0.495
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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.
Score: 0.255
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Pedersen TL, Nookaew I, Wayne Ussery D, M?nsson M. PanViz: interactive visualization of the structure of functionally annotated pangenomes. Bioinformatics. 2017 04 01; 33(7):1081-1082.
Score: 0.124
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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.
Score: 0.102
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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.
Score: 0.094
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Sanli K, Karlsson FH, Nookaew I, Nielsen J. FANTOM: Functional and taxonomic analysis of metagenomes. BMC Bioinformatics. 2013 Feb 01; 14:38.
Score: 0.093
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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.
Score: 0.091
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Cvijovic M, Olivares-Hern?ndez R, Agren R, Dahr N, Vongsangnak W, Nookaew I, Patil KR, Nielsen J. BioMet Toolbox: genome-wide analysis of metabolism. Nucleic Acids Res. 2010 Jul; 38(Web Server issue):W144-9.
Score: 0.077
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Agren R, Liu L, Shoaie S, Vongsangnak W, Nookaew I, Nielsen J. The RAVEN toolbox and its use for generating a genome-scale metabolic model for Penicillium chrysogenum. PLoS Comput Biol. 2013; 9(3):e1002980.
Score: 0.024
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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.
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