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Single-cell RNA sequencing identifies distinct transcriptomic signatures between PMA/ionomycin- and αCD3/αCD28-activated primary human T cells: Jung Ho Lee, Brian H Lee, Soyoung Jeong, Christine Suh-Yun Joh, Hyo Jeong Nam, Hyun Seung Choi, Henry Sserwadda, Ji Won Oh, Chung-Gyu Park, Seon-Pil Jin, Hyun Je Kim; Genomics Inform. 2023;21(2):e18. Published online June 30, 2023; DOI: https://doi.org/10.5808/gi.23009
Cited By 1; Full text PubReader ePub PDF Supplementary Material

FusionScan: accurate prediction of fusion genes from RNA-Seq data: Pora Kim, Ye Eun Jang, Sanghyuk Lee; Genomics Inform. 2019;17(3):e26. Published online July 23, 2019; DOI: https://doi.org/10.5808/GI.2019.17.3.e26
Cited By 11; Full text PubReader ePub PDF

A semi-automatic cell type annotation method for single-cell RNA sequencing dataset: Wan Kim, Sung Min Yoon, Sangsoo Kim; Genomics Inform. 2020;18(3):e26. Published online September 8, 2020; DOI: https://doi.org/10.5808/GI.2020.18.3.e26; Full text PubReader ePub PDF Supplementary Material

Comparative co-expression analysis of RNA-Seq transcriptome revealing key genes, miRNA and transcription factor in distinct metabolic pathways in diabetic nerve, eye, and kidney disease: Veeran kutty Subaida Shafna Asmy, Jeyakumar Natarajan; Genomics Inform. 2022;20(3):e26. Published online September 30, 2022; DOI: https://doi.org/10.5808/gi.22029; Full text PubReader ePub PDF

De novo transcriptome sequencing and gene expression profiling with/without B-chromosome plants of Lilium amabile: Doori Park, Jong-Hwa Kim, Nam-Soo Kim; Genomics Inform. 2019;17(3):e27. Published online September 16, 2019; DOI: https://doi.org/10.5808/GI.2019.17.3.e27
Cited By 5; Full text PubReader ePub PDF Supplementary Material

In silico approach to calculate the transcript capacity: Young-Sup Lee, Kyung-Hye Won, Jae-Don Oh, Donghyun Shin; Genomics Inform. 2019;17(3):e31. Published online September 26, 2019; DOI: https://doi.org/10.5808/GI.2019.17.3.e31; Full text PubReader ePub PDF

RNA-Seq De Novo Assembly and Differential Transcriptome Analysis of Korean Medicinal Herb Cirsium japonicum var. spinossimum: Neha Samir Roy, Jung-A Kim, Ah-Young Choi, Yong-Wook Ban, Nam-Il Park, Kyong-Cheul Park, Hee-sun Yang, Ik-Young Choi, Soonok Kim; Genomics Inform. 2018;16(4):e34. Published online December 28, 2018; DOI: https://doi.org/10.5808/GI.2018.16.4.e34
Cited By 7; Full text PubReader ePub PDF Supplementary Material

Transcriptome analysis of iBET-151, a BET inhibitor alone and in combination with paclitaxel in gastric cancer cells: Sun Kyoung Kang, Hyun Joo Bae, Woo Sun Kwon, Jingmin Che, Tae Soo Kim, Hyun Cheol Chung, Sun Young Rha; Genomics Inform. 2020;18(4):e37. Published online December 22, 2020; DOI: https://doi.org/10.5808/GI.2020.18.4.e37
Cited By 3; Full text PubReader ePub PDF Supplementary Material

A genetic approach to comprehend the complex and dynamic event of floral development: a review: Jatindra Nath Mohanty, Swayamprabha Sahoo, Puspanjali Mishra; Genomics Inform. 2022;20(4):e40. Published online December 30, 2022; DOI: https://doi.org/10.5808/gi.21075
Cited By 1; Full text PubReader ePub PDF

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