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Evaluating a linear k-mer model for protein-DNA interactions using high-throughput SELEX data
Transcription factor (TF) binding to DNA can be modeled in a number of different ways. It is highly debated which modeling methods are the best, how the models should be built and what can they be applied to. In this study a linear k-mer model proposed for predicting TF specificity in protein bindin...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3750486/ https://ncbi.nlm.nih.gov/pubmed/24267147 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-S10-S2 |
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