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Commit a79ed244 authored by Benedikt Venn's avatar Benedikt Venn
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add enrichments

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......@@ -36,13 +36,13 @@ _Figure 1: Example of generated figures. **(A)** Exemplary visualization of the
Raw sequencing data for constant-acetate experiments at 35°C and 40°C were obtained from (Zhang et al., 2022). Raw sequencing data for constant-acetate experiment at 25°C and acetate-depleting experiments at 25°C, 35°C, and 40°C were collected in this study and are available at JGI_XXX.
RNA libraries were prepared and sequenced by the Joint Genome Institute (JGI, Community Science Program) using the NovaSeq platform generating 150-nt paired-end reads. Samples were quality control filtered using the JGI BBDuk and BBMap pipelines (Bushnell et al.). Samples were quality assessed using FastQC (Andrews) and mapped to the Chlamydomonas reinhardtii v5.6 genome (Merchant et al. 2007) using HISAT2 version 2.2.0 (Kim et al., 2015). Reads per feature were counted via featureCounts (Liao et al., 2014). The count matrix was combined with existing data (Zhang 2022), resulting in a 16,403x101 count matrix. Prior to imputation of two missing time points in the constant-acetate 25°C experiment, transcripts were filtered to have nonzero counts in at least 90 % of the samples.
### Imputation
Measurements for time points 4h and 8h are missing for the constant-acetate 25°C time course. Beside preheat, 2h, and 24h samples, additional samples were taken for the constant-acetate 25°C time course at time points 0h, 0.5h, 1h, 26h, and 48h. After ensuring a high correlation (corr >= 0.993), the two missing time points were imputed as follows: For each transcript, two of the additional timepoint-triplicates were sampled randomly. It was ensured that not both missing timepoints were imputed with the same count data. The final count matrix consists of 14,893 transcripts in 90 samples (5 time points measured at 6 conditions as triplicates).
### Statistical testing
Imputed count data were tested for differential expression using DESeq2 v1.38.3 (Love et al., 2014). The following tests were performed: (i) constant-acetate 25°C vs constant-acetate 35°C; (ii) constant-acetate 25°C vs constant-acetate 40°C; (iii) acetate-depleting 25°C vs acetate-depleting 35°C; (iv) acetate-depleting 25°C vs acetate-depleting 40°C; (v) (constant-acetate 35°C and acetate-depleting 35°C) vs (constant-acetate 40°C and acetate-depleting 40°C); (vi) (constant-acetate 35°C and constant-acetate 40°C) vs (acetate-depleting 35°C and acetate-depleting 40°C); (vii) interaction of v and vi.
Imputed count data were tested for differential expression using multifactor designs in DESeq2 v1.38.3 (Love et al., 2014). The following tests were performed: (i) constant-acetate 25°C vs constant-acetate 35°C; (ii) constant-acetate 25°C vs constant-acetate 40°C; (iii) acetate-depleting 25°C vs acetate-depleting 35°C; (iv) acetate-depleting 25°C vs acetate-depleting 40°C; (v) (constant-acetate 35°C and acetate-depleting 35°C) vs (constant-acetate 40°C and acetate-depleting 40°C); (vi) (constant-acetate 35°C and constant-acetate 40°C) vs (acetate-depleting 35°C and acetate-depleting 40°C); (vii) interaction of v and vi; and (viii) acetate-depleting 25°C vs constant-acetate 25°C.
### Sample normalization
The normalization of the count matrix was conducted using the median of ratios method (Love et al., 2014).
......@@ -55,12 +55,16 @@ PCA was performed on averaged triplicates using FSharp.Statsv0.4.11 on transcrip
### Functional set figures
Functional descriptions were determined for each transcript (Merchant et al., 2007; Usadel et al., 2009; Venn and Muehlhaus, 2022b). Transcripts were grouped according to their functional description and time courses of their averaged normed counts were visualized as z score and log2 fold change respectively. An ANOVA was performed for each transcript at each treatment to elucidate whether a transcript underwent a relevant change during its time course (Venn et al., 2022a).
### Ontology enrichments
Ontology enrichment was performed using extended MapMan annotations (e.g. "PS.lightreaction.LHC" became "PS.Lightreaction.LHC", "PS.Lightreaction" and "PS"). The measured and filtered transcripts served as background. If a transcript showed significant differential expression in the respective comparison (FDR < 0.05), it was considered as significant for its annotations. Enrichment p values were determined using hypergeometric tests. Multiple testing correction was performed using the Benjamini-Hochberg method (Benjamini & Hochberg 1995; Venn et al., 2022a).
### Visualization
Heatmaps, PCA, and functional sets figures were created using Plotly.NETv4.0.0 (Schneider et al., 2022).
### References:
- Benedikt Venn, Lukas Weil, Kevin Schneider, David Zimmer & Timo Mühlhaus. (2022a). fslaborg/FSharp.Stats. Zenodo. https://doi.org/10.5281/zenodo.6337056
- Benedikt Venn & Timo Mühlhaus (2022b), CSBiology/OntologyEnrichment: Release 0.0.1 (0.0.1). Zenodo. https://doi.org/10.5281/zenodo.6340412
- Benjamini, Yoav, and Yosef Hochberg. "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing." Journal of the Royal Statistical Society. Series B (Methodological), vol. 57, no. 1, 1995, pp. 289–300. JSTOR, http://www.jstor.org/stable/2346101..
- Love, M.I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15, 550 (2014). https://doi.org/10.1186/s13059-014-0550-8
- Andrews, S. (n.d.). FastQC A Quality Control tool for High Throughput Sequence Data. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/
- BBDuk: https://sourceforge.net/projects/bbmap/
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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<html><head><script src="https://cdn.plot.ly/plotly-2.18.1.min.js"></script><title>Plotly.NET Datavisualization</title><meta charset="UTF-8"><meta name="description" content="A plotly.js graph generated with Plotly.NET"><link id="favicon" rel="shortcut icon" type="image/png" href="data:image/png;base64,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"></head><body><div id="660a7db9-c290-4dbd-ab3e-3f80a2947649"><!-- Plotly chart will be drawn inside this DIV --></div><script type="text/javascript">var renderPlotly_660a7db9c2904dbdab3e3f80a2947649 = function() {
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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<html><head><script src="https://cdn.plot.ly/plotly-2.18.1.min.js"></script><title>Plotly.NET Datavisualization</title><meta charset="UTF-8"><meta name="description" content="A plotly.js graph generated with Plotly.NET"><link id="favicon" rel="shortcut icon" type="image/png" href="data:image/png;base64,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"></head><body><div id="57a17807-be0a-429a-aca7-90b24a1c64d2"><!-- Plotly chart will be drawn inside this DIV --></div><script type="text/javascript">var renderPlotly_57a17807be0a429aaca790b24a1c64d2 = function() {
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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<html><head><script src="https://cdn.plot.ly/plotly-2.18.1.min.js"></script><title>Plotly.NET Datavisualization</title><meta charset="UTF-8"><meta name="description" content="A plotly.js graph generated with Plotly.NET"><link id="favicon" rel="shortcut icon" type="image/png" href="data:image/png;base64,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"></head><body><div id="7bf92a6d-aea7-4b9c-ae8d-811a20daa3ae"><!-- Plotly chart will be drawn inside this DIV --></div><script type="text/javascript">var renderPlotly_7bf92a6daea74b9cae8d811a20daa3ae = function() {
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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<html><head><script src="https://cdn.plot.ly/plotly-2.18.1.min.js"></script><title>Plotly.NET Datavisualization</title><meta charset="UTF-8"><meta name="description" content="A plotly.js graph generated with Plotly.NET"><link id="favicon" rel="shortcut icon" type="image/png" href="data:image/png;base64,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"></head><body><div id="13d19dbc-da98-47f8-84c9-967fda48d1e4"><!-- Plotly chart will be drawn inside this DIV --></div><script type="text/javascript">var renderPlotly_13d19dbcda9847f884c9967fda48d1e4 = function() {
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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<html><head><script src="https://cdn.plot.ly/plotly-2.18.1.min.js"></script><title>Plotly.NET Datavisualization</title><meta charset="UTF-8"><meta name="description" content="A plotly.js graph generated with Plotly.NET"><link id="favicon" rel="shortcut icon" type="image/png" href="data:image/png;base64,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"></head><body><div id="bc555446-1090-458c-bded-9fbc8d19b948"><!-- Plotly chart will be drawn inside this DIV --></div><script type="text/javascript">var renderPlotly_bc5554461090458cbded9fbc8d19b948 = function() {
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</script><p style="font-family: Arial, sans-serif;width:900px;"><b>MapMan ontology enrichment</b> <br><br>Ontology enrichment was performed using the extended MapMan ontology.
The p values were calculated using a hypergeometric test (<a href="https://github.com/CSBiology/BioFSharp">BioFSharp.Stats</a>) and corrected for multiple testing using the Benjamini-Hochberg method (<a href="https://github.com/fslaborg/FSharp.Stats">FSharp.Stats</a>). <br>
<br> All functional sets with a p value less than 0.05 and more than 10 annotated transcripts are shown.
The ratio within the bars indicate the number of significant transcripts vs transcripts contained in the respective bin. <br><br>FDR significant bin numbers are written bold:<br> * FDR < 0.1 <br> ** FDR < 0.05</p></body></html>
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