Source codes to perform computational analyses in NGN3 paper
- RNA-seq transcript quantification: RSEM
- RNA-seq read alignment: STAR
- Differential gene expression (DGE): DESeq2
- Differential transcript expression (DTE): DESeq2
- Gene ontology enrichment: PANTHER
- Differential transcript usage (DTU): IsoformSwitchAnalyzeR
- Differential splicing events: rMATS
- RBP consensus motif enrichment: rMAPS2
- CLIP-seq binding site enrichment: RBP-Maps
- ONT-seq transcript identification and quantification: IsoTV
- ONT-seq transcript classification: SQANTI3
- Protein identification and quantification: MaxQuant
- Differential protein enrichment: DEP
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├── ONT_seq_analysis # Scripts used for ONT-seq analyses
│ ├── DTE_analysis # Differential transcript expression (DTE) analysis
│ ├── DTU_analysis # Differential transcript usage (DTU) analysis
│ ├── long_short_comparison # Comparison between ONT-seq and Illumina RNA-seq
│ ├── quantification_classification # transcript identification, quantification and classification for ONT-seq data
├── Proteomics_analysis # Scripts used for Proteomics analyses
│ ├── IsoformMS # Protein isoform quantification for mass spectrometry (MS)
│ ├── PrepareData # Pre-processing
│ ├── RBPs # Differential analysis for RNA binding proteins (RBPs)
├── RNA_seq_analysis # Scripts used for RNA-seq analyses
│ ├── DGE_analysis # Differential gene expression (DGE) analysis
│ ├── DTU_analysis # Differential transcript usage (DTU) analysis
│ ├── GO_enrichment_analysis # Gene ontology enrichment analysis
│ ├── RBP_binding_site_analysis # RBP binding sites enrichment
│ ├── RBP_consensus_motif_analysis # RBP consensus motifs enrichment
│ ├── comparative_transcriptome_analysis_with_BrainSpan # Comparison of transcriptomes between BrainSpan and NGN3 models
│ ├── differential_splicing_analysis # Event-centered differential splicing analysis
│ ├── quantification # transcript quantification for RNA-seq data
└── ...