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T1  - InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites 
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UR  - http://hdl.handle.net/10138/182241 
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A1  - Eggeling, Ralf; Grosse, Ivo; Grau, Jan 
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Y1  - 2017 
LA  - eng 
AB  - Summary: Recent studies have shown that the traditional position weight matrix model is often insufficient for modeling transcription factor binding sites, as intra-motif dependencies play a significant role for an accurate description of binding motifs. Here, we present the Java application InMoDe, a collection of tools for learning, leveraging and visualizing such dependencies of putative higher order. The distinguishing feature of InMoDe is a robust model selection from a class of parsimoniou... 
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KW  - 113 Computer and information sciences; 112 Statistics and probability; 1182 Biochemistry, cell and molecular biology 
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