Literature DB >> 27440159

Erratum to: A systematic, large-scale comparison of transcription factor binding site models.

Daniela Hombach1,2, Jana Marie Schwarz1,2, Peter N Robinson3, Markus Schuelke1,2, Dominik Seelow4,5,6.   

Abstract

Entities:  

Year:  2016        PMID: 27440159      PMCID: PMC4952225          DOI: 10.1186/s12864-016-2818-8

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


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Erratum

Unfortunately, the original version of this article [1] contained an error. Figures 2 and 3 were interchanged. Figures 2 and 3 have been corrected in the original article and are also included correctly below.
Fig. 2

Direct comparison of binding models generated by different methods. Depicted are AUC scores for TFs stored in both JASPAR (manually collected curated models) and HT-SELEX. AUC scores were generated using ROCR. If multiple binding models were available for one TF, we depict the average AUC value

Fig. 3

Representative plots for conservation analyses. We determined the maximum phastCons (a) and phyloP (b) scores in each experimentally confirmed binding site of BCL11A (left panel) and ZBTB33 (right panel) and calculated the averages of the maximum scores

Direct comparison of binding models generated by different methods. Depicted are AUC scores for TFs stored in both JASPAR (manually collected curated models) and HT-SELEX. AUC scores were generated using ROCR. If multiple binding models were available for one TF, we depict the average AUC value Representative plots for conservation analyses. We determined the maximum phastCons (a) and phyloP (b) scores in each experimentally confirmed binding site of BCL11A (left panel) and ZBTB33 (right panel) and calculated the averages of the maximum scores
  1 in total

1.  A systematic, large-scale comparison of transcription factor binding site models.

Authors:  Daniela Hombach; Jana Marie Schwarz; Peter N Robinson; Markus Schuelke; Dominik Seelow
Journal:  BMC Genomics       Date:  2016-05-21       Impact factor: 3.969

  1 in total

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