Promoter prediction analysis on the whole human genome
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Summary
A comprehensive analysis of PPPs reveals that no program simultaneously achieves sensitivity and a positive predictive value >65%.
- Type
- article
- Published
- 2004-11-01
- Cited by
- 163
- References
- 29
- OpenAlex
- https://openalex.org/W1972875048
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2794074
Keywords
In silico, Genome, Promoter, CpG site, Computational biology
References
- Mechanisms of Gene Expression: Structure, Function and Evolution of the Basal Transcriptional Machinery
- Large-scale human promoter mapping using CpG islands
- Pattern Recognition and Neural Networks
- Diverse transcriptional initiation revealed by fine, large‐scale mapping of mRNA start sites
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- Computer model for recognition of functional transcription start sites in RNA polymerase II promoters of vertebrates.
- Dragon gene start finder: an advanced system for finding approximate locations of the start of gene transcriptional units.
- Consensus promoter identification in the human genome utilizing expressed gene markers and gene modeling.
- Application of a Time-delay Neural Network to Promoter Annotation in the Drosophila Melanogaster Genome
- Stochastic segment models of eukaryotic promoter regions.
- Computational analysis of core promoters in the Drosophila genome
- The Biology of Eukaryotic Promoter Prediction - A Review
- Highly specific localization of promoter regions in large genomic sequences by PromoterInspector: a novel context analysis approach.
- Promoter2.0: for the recognition of PolII promoter sequences
- CpGProD: identifying CpG islands associated with transcription start sites in large genomic mammalian sequences
- Dragon Gene Start Finder identifies approximate locations of the 5' ends of genes
- Promoter prediction in the human genome
- First pass annotation of promoters on human chromosome 22.
- Computational identification of promoters and first exons in the human genome
- DBTSS: DataBase of human Transcriptional Start Sites and full-length cDNAs
Cited by
- The procollagen type III, alpha 1 (COL3A1) gene first intron expresses poly‐A+ RNA corresponding to multiple ESTs and putative miRNAs
- Machine learning for genomic sequence analysis
- Control of human gene expression: High abundance of divergent transcription in genes containing both INR and BRE elements in the core promoter
- Computational analyses to identify and study cis-regulatory regions in eukaryotes
- Identification and characterization of transcriptional enhancers in the human genome
- Regulatory modules discovery and mesenchymal stem cells characterization from high-throughput cancer genomics data
- Human Promoter Prediction Using DNA Numerical Representation
- Pulsing response of the cardiac transcriptome
- Human Promoter Recognition Based on Principal Component Analysis
- The bystander effect : animal and plant models
- Overview Article: Identifying transcriptional cis-regulatory modules in animal genomes
- Bayesian classification for promoter prediction in human DNA sequences
- Non-Sparse Regularization for Multiple Kernel Learning
- Robust machine learning algorithms predict microRNA genes and targets.
- Co-occurrence of transcription factor binding sites (Gemeinsames Auftreten von Transkriptionsfaktor-Bindungsstellen)
- Genome-wide analysis of core promoter elements from conserved human and mouse orthologous pairs
- GC-compositional strand bias around transcription start sites in plants and fungi
- Generalizations of Markov model to characterize biological sequences
- Analysis of n-Gram based Promoter Recognition Methods and Application to Whole Genome Promoter Prediction
- ElemeNT: a computational tool for detecting core promoter elements
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