Literature DB >> 26960331

Erratum to: 'MicroRNA target prediction using thermodynamic and sequence curves'.

Asish Ghoshal1, Raghavendran Shankar1, Saurabh Bagchi1, Ananth Grama1, Somali Chaterji2.   

Abstract

Entities:  

Year:  2016        PMID: 26960331      PMCID: PMC4784320          DOI: 10.1186/s12864-016-2367-1

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


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Unfortunately, the original version of this article [1] contained an error. Figures 6 and 7 were incorrect with the wrong captions. The figures have been corrected in the original article and is also included correctly below.
Fig. 6

Scatter plot of frequencies of various types of seed alignment patterns in set of positive miRNA-mRNA interactions for Mouse (x-axis) and Human (y-axis). Among the top-10 most frequently occurring patterns, only two, namely, the 6-mer and 7-mer, are canonical seed match patterns. In the labels for the top-10 most frequently occurring patterns, 1 indicates a match, 2 indicates a mismatch, 3 a gap, and 4 indicates a GU wobble

Fig. 7

ROC curves for 10-fold cross-validation performance of Avishkar in different regions of the gene in the human dataset

Scatter plot of frequencies of various types of seed alignment patterns in set of positive miRNA-mRNA interactions for Mouse (x-axis) and Human (y-axis). Among the top-10 most frequently occurring patterns, only two, namely, the 6-mer and 7-mer, are canonical seed match patterns. In the labels for the top-10 most frequently occurring patterns, 1 indicates a match, 2 indicates a mismatch, 3 a gap, and 4 indicates a GU wobble ROC curves for 10-fold cross-validation performance of Avishkar in different regions of the gene in the human dataset
  1 in total

1.  MicroRNA target prediction using thermodynamic and sequence curves.

Authors:  Asish Ghoshal; Raghavendran Shankar; Saurabh Bagchi; Ananth Grama; Somali Chaterji
Journal:  BMC Genomics       Date:  2015-11-25       Impact factor: 3.969

  1 in total

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