Sticking together an updated model for temporary adhesion
<p>This zenodo dataset contains raw sequencing data (Illumina total RNA-seq, Illumina differential RNA-seq, Illumina genomic DNA, Nanopore high molecular weight genomic DNA) of the polyclad flatworm <em>Theama mediterranea</em>. This data was used to de-novo assemble a draft genome (Flye assembler), a de-novo transcriptome (Trinity assembler), a positional tail-specific differential RNA-seq dataset (DESeq2), and a genome guided gene prediction (braker2). </p> <p><strong>1) RNA-seq (Illumina PE150)</strong><br> Theama_Transcriptome_1_S76_L007_R1_001.fastq.gz<br> Theama_Transcriptome_1_S76_L007_R2_001.fastq.gz<br> Theama_Transcriptome_2_S77_L007_R1_001.fastq.gz<br> Theama_Transcriptome_2_S77_L007_R2_001.fastq.gz<br> Theama_Transcriptome_3_S78_L007_R1_001.fastq.gz<br> Theama_Transcriptome_3_S78_L007_R2_001.fastq.gz<br> Theama_Transcriptome_4_S79_L007_R1_001.fastq.gz<br> Theama_Transcriptome_4_S79_L007_R2_001.fastq.gz<br> </p> <p><strong>2) Transcriptome </strong><br> >>> Theama_mediterranea_20200402.fasta_annotated_shortHeaders.fa (<strong>=transcriptome</strong>)<br> TrinityStats.txt</p> <p><strong>3) diff-RNA-seq </strong></p> <p><em>'head'</em><br> 4884-S1_S1_L005_R1_001.fastq.gz<br> 4884-S2_S2_L005_R1_001.fastq.gz<br> 4884-S3_S3_L005_R1_001.fastq.gz</p> <p><em>'tail'</em><br> 4884-S4_S4_L005_R1_001.fastq.gz<br> 4884-S5_S5_L005_R1_001.fastq.gz<br> 4884-S6_S6_L005_R1_001.fastq.gz</p> <p><em>cdhit-est 0.95 identity "transcriptome"</em><br> Theama_mediterranea_20200402.fasta_annotated_shortHeaders_CDHIT95.fa<br> Theama_mediterranea_20200402.fasta_annotated_shortHeaders_CDHIT95.fa.clstr</p> <p><em>'head quantification'</em><br> 4884-S1_S1_L005_R1_001.fastq.gz.quant.sf<br> 4884-S2_S2_L005_R1_001.fastq.gz.quant.sf<br> 4884-S3_S3_L005_R1_001.fastq.gz.quant.sf</p> <p><em>'tail quantification'</em><br> 4884-S4_S4_L005_R1_001.fastq.gz.quant.sf<br> 4884-S5_S5_L005_R1_001.fastq.gz.quant.sf<br> 4884-S6_S6_L005_R1_001.fastq.gz.quant.sf</p> <p><em>'DESeq2'</em><br> Assay_Tail_Vs_Head_clean.csv<br> R_session</p> <p>'transcripts on genomic contigs"<br> Transcripts_on_genomic_contigs.ods</p> <p><em>'primer list'</em><br> Theama_primerlist.xlsx</p> <p><strong>4)<em> Genomic DNA Illumina reads</em></strong></p> <p>Theama_gDNA_illumina_1_R1.fastq.gz<br> Theama_gDNA_illumina_1_R1.fastq.gz</p> <p><strong>5) Final polished draft genome</strong></p> <p>'unmasked polished genome'<br> Theama_guppy5015_SUP_q7_flye283_4000ovl_medaka_1_pilon_round4_purgehaplo+mito.fasta</p> <p><em>'repeat-masking'</em><br> genome-families.fa<br> genome-families.fa<br> >>> Theama_guppy5015_SUP_q7_flye283_4000ovl_medaka_1_pilon_round4_purgehaplo+mito.masked (<strong>=genome</strong>)</p> <p><strong>5) Augustus gene prediction</strong><br> augustus.hints.aa<br> augustus.hints.codingseq<br> augustus.hints.gff3<br> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4