Predicting Variation of DNA Shape Preferences in Protein-DNA Interaction in Cancer Cells with a New Biophysical Model
Author:
Funder
Norwegian Cancer Society
Publisher
MDPI AG
Subject
Genetics (clinical),Genetics
Link
http://www.mdpi.com/2073-4425/8/9/233/pdf
Reference41 articles.
1. Absence of a simple code: how transcription factors read the genome
2. nDNA-prot: identification of DNA-binding proteins based on unbalanced classification
3. Quality versus accuracy: result of a reanalysis of protein-binding microarrays from the DREAM5 challenge by using BayesPI2 including dinucleotide interdependence
4. BayesPI-BAR: a new biophysical model for characterization of regulatory sequence variations
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1. abc4pwm: affinity based clustering for position weight matrices in applications of DNA sequence analysis;BMC Bioinformatics;2022-03-03
2. IGAP-integrative genome analysis pipeline reveals new gene regulatory model associated with nonspecific TF-DNA binding affinity;Computational and Structural Biotechnology Journal;2020
3. BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts;Frontiers in Genetics;2019-04-02
4. An Introduction to Integrative Genomics and Systems Medicine in Cancer;Genes;2018-01-12
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