RNAseq raw data PhD thesis A. Dard 2023
<p>Dear jury members,</p> <p>you will find here the different raw data files used for my RNAseq analysis.</p> <p>-Files S1, S3 and S5 contain the non-normalized counts (at 37°C, 27°C and for the TEs at 27°C and 37°C respectively). Those files can be directly uploaded using the DIANE software (<a href="https://diane.bpmp.inrae.fr/">https://diane.bpmp.inrae.fr/</a>) to explore the datasets (I did tmm normalization and <100 lowcount filtering with a seed parameter of 240).</p> <p>-Files S2, S4 and S6 contain the DEGs lists (<em>hda6-6</em> vs col-0) for each timepoint (I chose a FC >1 with an FDR <0.01).</p> <p>Best,</p> <p>Avilien Dard</p>
ShareScore
8/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0
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