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A systematic review of hidden Markov models and their applications
B Mor, S Garhwal, A Kumar - Archives of computational methods in …, 2021 - Springer
The hidden Markov models are statistical models used in many real-world applications and
communities. The use of hidden Markov models has become predominant in the last …
communities. The use of hidden Markov models has become predominant in the last …
Chromatin-state discovery and genome annotation with ChromHMM
Noncoding DNA regions have central roles in human biology, evolution, and disease.
ChromHMM helps to annotate the noncoding genome using epigenomic information across …
ChromHMM helps to annotate the noncoding genome using epigenomic information across …
Predicting mRNA abundance directly from genomic sequence using deep convolutional neural networks
Algorithms that accurately predict gene structure from primary sequence alone were
transformative for annotating the human genome. Can we also predict the expression levels …
transformative for annotating the human genome. Can we also predict the expression levels …
From nucleosomes to compartments: physicochemical interactions underlying chromatin organization
Chromatin organization plays a critical role in cellular function by regulating access to
genetic information. However, understanding chromatin folding is challenging due to its …
genetic information. However, understanding chromatin folding is challenging due to its …
SPIN reveals genome-wide landscape of nuclear compartmentalization
We report SPIN, an integrative computational method to reveal genome-wide intranuclear
chromosome positioning and nuclear compartmentalization relative to multiple nuclear …
chromosome positioning and nuclear compartmentalization relative to multiple nuclear …
Integrating ChIP-seq with other functional genomics data
Transcription is regulated by transcription factor (TF) binding at promoters and distal
regulatory elements and histone modifications that control the accessibility of these …
regulatory elements and histone modifications that control the accessibility of these …
Transcriptional enhancers and their communication with gene promoters
Transcriptional enhancers play a key role in the initiation and maintenance of gene
expression programmes, particularly in metazoa. How these elements control their target …
expression programmes, particularly in metazoa. How these elements control their target …
Toward a comprehensive catalog of regulatory elements
Regulatory elements are the genomic regions that interact with transcription factors to
control cell-type-specific gene expression in different cellular environments. A precise and …
control cell-type-specific gene expression in different cellular environments. A precise and …
Statistical structure of locomotion and its modulation by odors
Most behaviors such as making tea are not stereotypical but have an obvious structure.
However, analytical methods to objectively extract structure from non-stereotyped behaviors …
However, analytical methods to objectively extract structure from non-stereotyped behaviors …
Segmentation and genome annotation algorithms for identifying chromatin state and other genomic patterns
Segmentation and genome annotation (SAGA) algorithms are widely used to understand
genome activity and gene regulation. These algorithms take as input epigenomic datasets …
genome activity and gene regulation. These algorithms take as input epigenomic datasets …