Integrating multiple evidence sources to predict transcription factor binding in the human genome
نویسندگان
چکیده
منابع مشابه
Integrating multiple evidence sources to predict transcription factor binding in the human genome.
Information about the binding preferences of many transcription factors is known and characterized by a sequence binding motif. However, determining regions of the genome in which a transcription factor binds based on its motif is a challenging problem, particularly in species with large genomes, since there are often many sequences containing matches to the motif but are not bound. Several rul...
متن کاملIntegrating genomic data to predict transcription factor binding.
Transcription factor binding sites (TFBS) in gene promoter regions are often predicted by using position specific scoring matrices (PSSMs), which summarize sequence patterns of experimentally determined TF binding sites. Although PSSMs are more reliable than simple consensus string matching in predicting a true binding site, they generally result in high numbers of false positive hits. This stu...
متن کاملProbabilistic Inference of Transcription Factor Binding from Multiple Data Sources
An important problem in molecular biology is to build a complete understanding of transcriptional regulatory processes in the cell. We have developed a flexible, probabilistic framework to predict TF binding from multiple data sources that differs from the standard hypothesis testing (scanning) methods in several ways. Our probabilistic modeling framework estimates the probability of binding an...
متن کاملIntegrating Multiple Evidence Sources to Predict Adverse Drug Reactions Based on a Systems Pharmacology Model
Identifying potential adverse drug reactions (ADRs) is critically important for drug discovery and public health. Here we developed a multiple evidence fusion (MEF) method for the large-scale prediction of drug ADRs that can handle both approved drugs and novel molecules. MEF is based on the similarity reference by collaborative filtering, and integrates multiple similarity measures from variou...
متن کاملIncorporating Nucleosome Occupancy to Predict Transcription Factor Binding Sites
Bo Jiang April 29, 2007 ABSTRACT Traditional methods to identify potential binding sites of known transcription factors usually neglect abundant information hidden in a large genomic scale. Recent researches, however, reveal that the intrinsic nucleosome organization in genome can be predicted and may help in directing transcription factors towards their target sites. In this paper, we present ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Genome Research
سال: 2010
ISSN: 1088-9051
DOI: 10.1101/gr.096305.109