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RNAseq/Pipeline_GL-DPPD-7101_Versions/GL-DPPD-7101-G.md

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@@ -1215,7 +1215,7 @@ setwd(file.path(work_dir))
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* {GLDS-Accession-ID}_bulkRNASeq_v{version}_runsheet.csv (runsheet, output from [Step 9a](#9a-create-sample-runsheet))
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* `organism` (name of organism samples were derived from, found in the species column of the [GL-DPPD-7110-A_annotations.csv](../../GeneLab_Reference_Annotations/Pipeline_GL-DPPD-7110_Versions/GL-DPPD-7110-A/GL-DPPD-7110-A_annotations.csv) file)
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* `organism` (name of organism samples were derived from, found in the species column of [GL-DPPD-7110-A_annotations.csv](../../GeneLab_Reference_Annotations/Pipeline_GL-DPPD-7110_Versions/GL-DPPD-7110-A/GL-DPPD-7110-A_annotations.csv) file)
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**Output Data:**
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@@ -1282,8 +1282,8 @@ rm(contrast.names)
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**Output Data:**
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* `study` (data frame containing sample condition values)
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* `group` (named vector indicating group membership for each sample)
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* `study` (data frame specifying factor levels assigned to each sample)
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* `group` (named vector specifying the group or set of factor levels for each sample)
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* `contrasts` (matrix defining pairwise comparisons between groups)
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<br>
@@ -1434,17 +1434,18 @@ res_lrt <- results(dds_lrt)
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**Input Data:**
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* `group` (named vector indicating group membership for each sample, output from [Step 9c](#9c-configure-metadata-sample-grouping-and-group-comparisons))
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* `group` (named vector specifying the group or set of factor levels for each sample, output from [Step 9c](#9c-configure-metadata-sample-grouping-and-group-comparisons))
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* `txi.rsem` (imported RSEM data containing counts matrix, output from [Step 9d](#9d-import-rsem-genecounts))
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**Output Data:**
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* `sampleTable` (data frame mapping samples to groups)
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* `dds` (DESeq2 data object containing normalized counts and experimental design)
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* `normCounts` (data frame of normalized count values + 1)
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* `VSTCounts` (data frame of variance stabilized transformed counts)
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* `dds_lrt` (DESeq2 data object from likelihood ratio test)
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* `res_lrt` (results object from likelihood ratio test)
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* `sampleTable` (data frame containing sample condition information, with technical replicates handled)
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* `output_table` (data frame containing normalized counts, DGE results)
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<br>
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@@ -1528,7 +1529,7 @@ output_table <- output_table %>%
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**Input Data:**
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* `normCounts` (data frame of normalized count values, output from [Step 9e](#9e-perform-dge-analysis))
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* `normCounts` (data frame of normalized counts, output from [Step 9e](#9e-perform-dge-analysis))
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* `res_lrt` (results object from likelihood ratio test, output from [Step 9e](#9e-perform-dge-analysis))
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* `contrasts` (matrix defining pairwise comparisons, output from [Step 9c](#9c-configure-metadata-sample-grouping-and-group-comparisons))
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* `annotations_link` (variable containing URL to GeneLab annotation table, output from [Step 9b](#9b-environment-set-up))
@@ -1538,7 +1539,11 @@ output_table <- output_table %>%
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* `output_table` (data frame containing the following columns:
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- Gene identifier column (ENSEMBL or TAIR for plant studies)
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- Normalized counts for each sample
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- Log2 fold change, test statistic, p-value and adjusted p-value for each pairwise comparison
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- For each pairwise comparison:
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- Log2 fold change
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- Test statistic
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- P-value
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- Adjusted p-value
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- All.mean (mean across all samples)
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- All.stdev (standard deviation across all samples)
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- LRT.p.value (likelihood ratio test adjusted p-value)
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**Input Data:**
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* `contrasts` (matrix defining pairwise comparisons between experimental groups from [Step 9c](#9c-create-study-group-and-contrasts))
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* `txi.rsem` (imported RSEM count data from [Step 9d](#9d-import-rsem-genecounts))
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* `normCounts` (normalized count values from [Step 9e](#9e-perform-dge-analysis))
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* `VSTCounts` (variance stabilized transformed counts from [Step 9e](#9e-perform-dge-analysis))
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* `sampleTable` (data frame mapping samples to experimental conditions from [Step 9e](#9e-perform-dge-analysis))
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* `output_table` (DGE output table from [Step 9f](#9f-add-statistics-and-gene-annotations-to-dge-results))
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* `sampleTable` (data frame mapping samples to groups, output from [Step 9e](#9e-perform-dge-analysis))
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* `contrasts` (matrix defining pairwise comparisons between groups, output from [Step 9c](#9c-create-study-group-and-contrasts))
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* `txi.rsem` (imported RSEM count data, output from [Step 9d](#9d-import-rsem-genecounts))
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* `normCounts` (normalized counts, output from [Step 9e](#9e-perform-dge-analysis))
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* `VSTCounts` (variance stabilized transformed counts, output from [Step 9e](#9e-perform-dge-analysis))
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* `output_table` (DGE output table, output from [Step 9f](#9f-add-statistics-and-gene-annotations-to-dge-results))
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**Output Data:**
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* **RSEM_Unnormalized_Counts_GLbulkRNAseq.csv** (raw RSEM gene counts for all samples and technical replicates)
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* **RSEM_Unnormalized_Counts_GLbulkRNAseq.csv** (raw RSEM gene counts for all samples, including technical replicates)
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* **Normalized_Counts_GLbulkRNAseq.csv** (normalized gene counts)
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* **VST_Counts_GLbulkRNAseq.csv** (variance stabilized transformed counts)
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* **SampleTable_GLbulkRNAseq.csv** (1-column table defining sample-to-experimental-condition mapping:
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- Row names: Sample names
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- Column 'condition': Factor indicating experimental group/condition)
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* **contrasts_GLbulkRNAseq.csv** (2-row table defining pairwise group comparisons:
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- Column names: One pairwise group comparison (e.g., "GroupAvGroupB")
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- Row 1 contains the numerator group
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- Row 2 contains the denominator group)
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* **differential_expression_GLbulkRNAseq.csv** (complete DGE results table containing the following columns:
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* **SampleTable_GLbulkRNAseq.csv** (table specifying the group or set of factor levels for each sample)
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* **contrasts_GLbulkRNAseq.csv** (table listing all pairwise group comparisons)
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* **differential_expression_GLbulkRNAseq.csv** (DGE results table containing the following columns:
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- Gene identifier column (ENSEMBL or TAIR for plant studies)
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- Normalized counts for each sample
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- Log2 fold change, test statistic, p-value and adjusted p-value for each pairwise comparison
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- Normalized counts
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- For each pairwise group comparison:
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- Log2 fold change
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- Test statistic
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- P-value
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- Adjusted p-value
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- All.mean (mean across all samples)
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- All.stdev (standard deviation across all samples)
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- LRT.p.value (likelihood ratio test adjusted p-value)
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- For each experimental group:
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- For each group:
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- Group.Mean_(group) (mean within group)
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- Group.Stdev_(group) (standard deviation within group)
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- Additional organism-specific gene annotations columns)

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