AIMC Topic: Transcription Elongation, Genetic

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Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data.

Nucleic acids research Feb 8, 2025
Rates of transcription elongation vary within and across eukaryotic gene bodies. Here, we introduce new methods for predicting elongation rates from nascent RNA sequencing data. First, we devise a probabilistic model that predicts nucleotide-specific...
Humans Neural Networks, Computer Machine Learning Sequence Analysis, RNA Epigenomics DNA Methylation Models, Statistical Histones Binding Sites RNA Splice Sites Histone Code CCCTC-Binding Factor Transcription Elongation, Genetic
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A machine learning-based framework for modeling transcription elongation.

Proceedings of the National Academy of Sciences of the United States of America Feb 9, 2021
RNA polymerase II (Pol II) generally pauses at certain positions along gene bodies, thereby interrupting the transcription elongation process, which is often coupled with various important biological functions, such as precursor mRNA splicing and gen...
Humans Machine Learning Epigenesis, Genetic DNA Methylation Protein Processing, Post-Translational Models, Biological HeLa Cells HEK293 Cells Base Sequence Genome, Human Histones Binding Sites RNA Polymerase II Nucleotide Motifs RNA Splicing RNA Splice Sites Transcription Elongation, Genetic
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