Neda Shokraneh Kenari

ORCID: 0009-0001-4219-7740
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About
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Research Areas
  • Genomics and Chromatin Dynamics
  • Genomics and Phylogenetic Studies
  • Gene expression and cancer classification
  • Machine Learning in Bioinformatics
  • RNA Research and Splicing
  • Protein Structure and Dynamics
  • Protein Degradation and Inhibitors

Simon Fraser University
2018-2024

Abstract Semi-automated genome annotation (SAGA) methods are widely used to understand activity and gene regulation. These take as input a set of sequencing-based assays epigenomic (such ChIP-seq measurements histone modification transcription factor binding), output an the that assigns chromatin state label each genomic position. Existing SAGA have several limitations caused by discrete framework: such annotations cannot easily represent varying strengths elements, they combinatorial...

10.1101/473017 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2018-11-18

The genome-wide chromosome conformation capture assay Hi-C is widely used to study chromatin 3D structures and their functional implications. Read counts from indicate the strength of contact between each pair genomic loci. These read are heteroskedastic: that is, a difference interaction frequency 0 100 much more significant than 1000 1100. This property impedes visualization downstream analysis because it violates Gaussian variable assumption many computational tools. Thus heuristic...

10.1093/bioinformatics/btae715 article EN cc-by Bioinformatics 2024-12-10

Abstract Motivation The genome-wide chromosome conformation capture assay Hi-C is widely used to study chromatin 3D structures and their functional implications. Read counts from indicate the strength of contact between each pair genomic loci. These read are heteroskedastic: that is, a difference interaction frequency 0 100 much more significant than 1000 1100. This property impedes visualization downstream analysis because it violates Gaussian variable assumption many computational tools....

10.1101/2021.10.19.465027 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2021-10-19
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