CrossRef Text and Data Mining
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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
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   Crossref logo
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Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data
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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
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Integrated Chip-Seq and RNA-Seq Data Analysis Coupled with Bioinformatics Approaches to Investigate Regulatory Landscape of Transcription Modulators in Breast Cancer Cells
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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
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Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification
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