Add new dataset Waltii

[acope3]

Thanks for starting to add a new dataset to example-datasets! This issue template includes the key steps, see add-new-dataset.md. Please edit as needed for your dataset.

• [x] Create a new branch of example-datasets with a helpful concise name, for example cheng-entamoeba-123 if the dataset were generated by Dr. Cheng, from entamoeba, and the new issue ticket is number 123.
• [x] Identify paper or data source - list and link
• [x] Identify the species and strain used, check if example-datasets already has appropriate annotation and contaminant files.
• [x] (if new species) Find annotation data for the species and strain elsewhere.
• [x] (if new species and genus) Create a genus folder in example-datasets.
• [x] (if new species) Download or create contaminants fasta file.
• [x] (if new species) Download or create transcriptome annotation fasta and gff files.
• [ ] (if new species) Check annotation files for consistency with check_fasta_gff.
• [x] Identify the ribosome profiling samples from the dataset (some may be RNA-seq) - link database.
• [x] Identify adapter sequence - provide sequence.
• [x] Confirm or deny presence of UMIs and barcodes if used - describe if present.
• [x] If UMIs are present, create UMI regular expression.
• [x] Using information gathered, create config file.
• [x] Download sample data.
• [x] (optional) Create downsampled data and fast test run on that.
• [x] Test run of full sized dataset.
• [x] Look at results - check for 3nt periodicity in coding regions, most common read lengths being 28-32 nt, and clear start and stop profiles.
• [ ] Troubleshoot as necessary and discuss on issue ticket.
• [ ] Update genus-level README.md and provenance section of config file.
• [ ] Put in pull request to add to repository.

[acope3]

@davbunn1 @HannahMaroof I have also added the annotations for L. waltii (branch cope-waltii-121)

[davbunn1]

Working in branch: "cope-waltii-121" Genus folder within example-datasets: "waltii" Strain: Lachancea waltii Y-8285 (existing L. thermotolerans contaminants data on example-datasets already) Data source: EIRNA BIO in 2023 (James Keane, Darren Fenton and others) Transcriptome annotation courtesy of Alex Cope @acope3 Contaminants fasta file created from ncbi data as detailed in provenance file UMIs (N) and Barcodes (B) used:

Read structure: NNNN - rpf sequence - NNNNN - BBBBB – Adapter Barcodes: Rep1 – ATCGT, Rep2 – AGCTA, Rep3 - CGTAA Adapter sequence: AGATCGGAAGAGCACACGTCTGAA

[davbunn1]

Test run was successful - all output files created. Results not great - periodicity poorly defined, phasing not as biased as expected, read lengths on average a bit shorter than expected... See attached. read_counts_by_length.pdf frame_proportions_per_ORF.pdf metagene_start_stop_read_counts.pdf