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| Analysis of H3K4me3-ChIP-Seq and RNA-Seq data to understand the putative role of miRNAs and their target genes in breast cancer cell lines |
| Aneesh Kotipalli, Ruma Banerjee, Sunitha Manjari Kasibhatla, Rajendra Joshi |
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Genomics Inform. 2021;19(2):e17 Published online June 30, 2021 DOI: https://doi.org/10.5808/gi.21020 |
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Analysis of H3K4me3-ChIP-Seq and RNA-Seq data to understand the putative role of miRNAs and their target genes in breast cancer cell lines Genomics & Informatics. 2021;19(2):e17  Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data Genes. 2010;1(2):317-334 Data of correlation analysis between the density of H3K4me3 in promoters of genes and gene expression: Data from RNA-seq and ChIP-seq analyses of the murine prefrontal cortex Data in Brief. 2020;33:106365 Role of hypoxia-related genes in breast cancer based on a comprehensive analysis of scRNA-seq and bulk RNA-seq . 2022; Identification of TMPRSS2 and ERG as androgen receptor targeted putative highly significant genes in PC3-AR cells from AR ChIP-Seq and ChIP-chip data . 2022; Introduction: Role of miRNAs and Their Target Genes in Breast Cancer Metastasis miRNAs and Target Genes in Breast Cancer Metastasis. 2014;1-6 Integrated Chip-Seq and RNA-Seq Data Analysis Coupled with Bioinformatics Approaches to Investigate Regulatory Landscape of Transcription Modulators in Breast Cancer Cells Methods in Molecular Biology. 2020;35-59 Revealing transcription factor and histone modification co-localization and dynamics across cell lines by integrating ChIP-seq and RNA-seq data BMC Genomics. 2018;19(S10): Gene Expression and Gene Ontology Enrichment Analysis for H3K4me3 and H3K4me1 in Mouse Liver and Mouse Embryonic Stem Cell Using ChIP-Seq and RNA-Seq Gene Regulation and Systems Biology. 2014;8:GRSB.S13612 Functional and Network Exploration of RNA Seq data of Breast Cancer Pakistan BioMedical Journal. 2022;28-33 |
