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| COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq |
| Sang Cheol Kim, Donghyeon Yu, Seong Beom Cho |
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Genomics Inform. 2018;16(4):e36 Published online December 28, 2018 DOI: https://doi.org/10.5808/GI.2018.16.4.e36 |
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COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq Genomics & Informatics. 2018;16(4):e36  Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples RNA Bioinformatics. 2021;77-96 Profiling gene expression responses of coral larvae (Acropora millepora) to elevated temperature and settlement inducers using a novel RNA-Seq procedure Molecular Ecology. 2011;no-no The RNA-Seq-based high resolution gene expression atlas of chickpea (Cicer arietinum
L.) reveals dynamic spatio-temporal changes associated with growth and development Plant, Cell & Environment. 2018; Impact of human gene annotations on RNA-seq differential expression analysis . 2021; Gene Expression Analysis of RNA-Seq Data from Human Osteoarthritis Knee . 2022; Analysis of ChIP-Seq and RNA-Seq Data with BioWardrobe Gene Expression Analysis. 2018;343-360 RNA-Seq SSRs and small RNA-Seq SSRs: New approaches in cancer biomarker discovery Gene. 2015;560(1):34-43 Differential Expression Analysis Using A Model-Based Gene Clustering Algorithm for RNA-Seq Data . 2020; MicroScope: ChIP-seq and RNA-seq software analysis suite for gene expression heatmaps BMC Bioinformatics. 2016;17(1): |
