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- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.1
- 수록면
- 1 - 6 (6page)
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Transcriptome analysis is widely used for current biological research but remains challenging for many experimental scientists. Here, we present a brief but broad guideline for transcriptome analysis, focusing on RNA sequencing, by providing the list of publicly available datasets, tools, and R packages for practical transcriptome analysis. This work will be useful for biologists to perform key transcriptomic analysis with minimum expertise in bioinformatics.
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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software
Genomics & informatics
2015 .01
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Transcriptomic analyses reveal novel genes with sexually dimorphic expression in Takifugu rubripes brain during gonadal sex differentiation
Genes & Genomics
2020 .01
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Phenylalanine ammonia‑lyase family is closely associated with response to phosphate deficiency in rice
Genes & Genomics
2020 .01
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Ovarian transcriptome profiles associated with sexual maturation in Pacific abalone (Haliotis discus hannai)
Genes & Genomics
2020 .01
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Comparison of library construction kits for mRNA sequencing in the Illumina platform
Genes & Genomics
2019 .01
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Meta-analysis of the transcriptome identifies aberrant RNA processing as common feature of aging in multiple species
Molecules and Cells
2024 .01
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High-resolution Analysis of Human Coronavirus Transcriptomes
한국미생물학회 학술대회논문집
2022 .10
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An Updated Evaluation of Next Generation Sequencing and Bioinformatics for Microbiome Analysis
한국미생물학회 학술대회논문집
2016 .04
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Deep Learning Approach Based on Transcriptome Profile for Data Driven Drug Discovery
Molecules and Cells
2023 .01
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Transcriptome and Network Analysis of Butanol Stress in Escherichia coli
한국미생물학회 학술대회논문집
2016 .04
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Parallel Evolution of Transcriptome Architecture during Genome Reorganization
한국미생물학회 학술대회논문집
2015 .04
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RNA-Seq De Novo Assembly and Differential Transcriptome Analysis of Korean Medicinal Herb Cirsium japonicum var. spinossimum
Genomics & informatics
2018 .01
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Next-generation sequencing data analysis on cloud computing
Genes & Genomics
2015 .01
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Identification of Five Novel Amalgaviruses from Plant Transcriptome Data
한국미생물학회 학술대회논문집
2019 .04
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The Workflow for Computational Analysis of Single-cell RNA-sequencing Data
대한임상검사과학회지
2024 .03
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COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq
Genomics & informatics
2018 .01
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Transcriptome sequencing discovers genes related to fatty acid biosynthesis in the seeds of Eucommia ulmoides
Genes & Genomics
2016 .01
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Single-Cell Toolkits Opening a New Era for Cell Engineering
Molecules and Cells
2021 .01
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Comparative Genome and in Planta Transcriptome Analyses of Three Different Pathogenic Bacteria
한국미생물학회 학술대회논문집
2017 .04
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Full-length transcriptome combined with RNA sequence analysis of Fraxinus chinensis
Genes & Genomics
2023 .05
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