学部・大学院区分 | | 農・博前 | | 時間割コード | | 2930010 | | 科目区分 | | C類 Category C | | 科目名 【日本語】 | | データサイエンス特別講義4 | | 科目名 【英語】 | | | | コースナンバリングコード | | | | 担当教員 【日本語】 | | | | 担当教員 【英語】 | | | | 単位数 | | 1 | | 開講期・開講時間帯 | |
| | 対象学年 | | 1年 1 | | 授業形態 | |
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授業の目的 【日本語】 | | | | 授業の目的 【英語】 | | Based on Data Sciences 1, 2 and 3, this course introduces practical approaches of transcriptomics and outline of proteomics, metabolomics and multi-omics. |
| | 到達目標 【日本語】 | | Based on Data Sciences 1, 2 and 3, this course introduces practical approaches of transcriptomics and outline of proteomics, metabolomics and multi-omics. |
| | 授業の内容や構成 | | 1. Preparing a computing environment for NGS analysis in Mac (Instructions for homebrew/Bioconda to install popular bioinformatics tools; Instructions for downloading NGS data from Sequence Read Archive) 2. Guidance for RNA-Seq data analysis pipelines (Read mapping, calculation of the expression values and statistical analysis) 3. Genome-wide analysis of binding sites of a DNA-binding transcription factor (Mapping, Peak detection and Identification of promoter regulated by the target transcription factor) 4. Integrated data mining with biological big data using R (Correlation analysis and Clustering) 5. 16S rDNA metagenome analysis using bioinformatics tools (LocalBLAST and QIIME2) 6. Outline of proteomics and metabolomics 7. Application of multi-omics
1. Preparing a computing environment for NGS analysis in Mac (Instructions for homebrew/Bioconda to install popular bioinformatics tools; Instructions for downloading NGS data from Sequence Read Archive) 2. Guidance for RNA-Seq data analysis pipelines (Read mapping, calculation of the expression values and statistical analysis) 3. Genome-wide analysis of binding sites of a DNA-binding transcription factor (Mapping, Peak detection and Identification of promoter regulated by the target transcription factor) 4. Integrated data mining with biological big data using R (Correlation analysis and Clustering) 5. 16S rDNA metagenome analysis using bioinformatics tools (LocalBLAST and QIIME2) 6. Outline of proteomics and metabolomics 7. Application of multi-omics
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| | 履修条件・関連する科目 | | | | 成績評価の方法と基準 | | Evaluate each lesson by attendance and short report |
| | 教科書・テキスト | | | | 参考書 | | | | 課外学習等(授業時間外学習の指示) | | | | 授業開講形態等 | | | | 遠隔授業(オンデマンド型)で行う場合の追加措置 | | | |
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