Comparison of Transcription Factor Binding Site Models

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Modeling of transcription factor binding sites (TFBSs) and TFBS prediction on genomic sequences are important steps to elucidate transcription regulatory mechanism. Dependency of transcription regulation on a great number of factors such as chemical specificity, molecularstructure, genomic and epigenetic characteristics, long distance interaction, makes this achallenging problem. Different experimental procedures generate evidence that DNA-bindingdomains of transcription factors show considerable DNA sequence specificity. Probabilisticmodeling of TFBSs has been moderately successful in identifying patterns from a familyof sequences. In this study, we compare performances of different probabilistic models andtry to estimate their efficacy over experimental TFBSs data. We build a pipeline to calculatesensitivity and specificity from aligned TFBS sequences for several probabilistic models,such as Markov chains, hidden Markov models, Bayesian networks. Our work, containingrelevant statistics and evaluation for the models, can help researchers to choose the mostappropriate model for the problem at hand.

روابط وملفات

التعريف والنوع

رقم الوثيقة

f1c71f1f-9e61-41fb-a6a6-2aab82b91c77

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

1700851_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":"Shariful Islam Bhuyan","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Vladimir Bajic","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Comparison of Transcription Factor Binding Site Models

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Comparison of Transcription

إشراف وإعداد

الإشراف

Vladimir Bajic

الإعداد

Shariful Islam Bhuyan

الاقتباسات الببليوغرافية