Minli Xu

Summary

Affiliation: University of North Carolina at Charlotte
Country: USA

Publications

  1. ncbi Computational analysis of LexA regulons in Cyanobacteria
    Shan Li
    Bioinformatics Research Center, Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    BMC Genomics 11:527. 2010
  2. ncbi Rapid DNA barcoding analysis of large datasets using the composition vector method
    Ka Hou Chu
    Department of Biology, The Chinese University of Hong Kong, Hong Kong, PR China
    BMC Bioinformatics 10:S8. 2009
  3. ncbi Computational prediction of cAMP receptor protein (CRP) binding sites in cyanobacterial genomes
    Minli Xu
    Department of Bioinformatics and Genomics, Bioinformatics Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28233, USA
    BMC Genomics 10:23. 2009
  4. ncbi Genome-wide de novo prediction of cis-regulatory binding sites in prokaryotes
    Shaoqiang Zhang
    Department of Bioinformatics and Genomics, Bioinformatics Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    Nucleic Acids Res 37:e72. 2009
  5. ncbi A novel alignment-free method for comparing transcription factor binding site motifs
    Minli Xu
    Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America
    PLoS ONE 5:e8797. 2010
  6. ncbi Unifying mechanical and thermodynamic descriptions across the thioredoxin protein family
    James M Mottonen
    Department of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    Proteins 75:610-27. 2009

Collaborators

Detail Information

Publications6

  1. ncbi Computational analysis of LexA regulons in Cyanobacteria
    Shan Li
    Bioinformatics Research Center, Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    BMC Genomics 11:527. 2010
    ..PCC 6803 might have distinct functions other than the regulation of the SOS response. To gain a general understanding of the functions of LexA and its evolution in cyanobacteria, we conducted the current study...
  2. ncbi Rapid DNA barcoding analysis of large datasets using the composition vector method
    Ka Hou Chu
    Department of Biology, The Chinese University of Hong Kong, Hong Kong, PR China
    BMC Bioinformatics 10:S8. 2009
    ..Here, we further explored the grouping effectiveness of the CV method in large DNA barcode datasets (COI, 18S and 16S rRNA) from a variety of organisms, including birds, fishes, nematodes and crustaceans...
  3. ncbi Computational prediction of cAMP receptor protein (CRP) binding sites in cyanobacterial genomes
    Minli Xu
    Department of Bioinformatics and Genomics, Bioinformatics Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28233, USA
    BMC Genomics 10:23. 2009
    ..PCC 6803 and Anabaena sp. PCC 7120; therefore, a systematic genome-scale study of the potential CRP target genes and binding sites in cyanobacterial genomes is urgently needed...
  4. ncbi Genome-wide de novo prediction of cis-regulatory binding sites in prokaryotes
    Shaoqiang Zhang
    Department of Bioinformatics and Genomics, Bioinformatics Research Center, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    Nucleic Acids Res 37:e72. 2009
    ..When compared with the prior state-of-the-art algorithms, our algorithm outperforms them in both prediction sensitivity and specificity...
  5. ncbi A novel alignment-free method for comparing transcription factor binding site motifs
    Minli Xu
    Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America
    PLoS ONE 5:e8797. 2010
    ..In some applications, alignment-free methods might be preferred; however, few such methods with high accuracy have been described...
  6. ncbi Unifying mechanical and thermodynamic descriptions across the thioredoxin protein family
    James M Mottonen
    Department of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
    Proteins 75:610-27. 2009
    ..The results taken together demonstrate that small-scale structural variations are amplified into discernible global differences by propagating mechanical couplings through the H-bond network...