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Adapted from the work of Sagane Joye: https://github.com/sdind/genome_annotation_workflow ## Prerequisites The following programs are required to run the workflow and the listed version were tested. It should be noted that older versions of snakemake are not compatible with newer versions of singularity as is noted here: [https://github.com/nextflow-io/nextflow/issues/1659](https://github.com/nextflow-io/nextflow/issues/1659). `conda v 23.7.3` `singularity v 3.7.3` `snakemake v 7.32.3` You will also need to acquire a licence key for Genemark and place this in your home directory with name `~/.gm_key` The key file can be obtained from the following location, where the licence should be read and agreed to: http://topaz.gatech.edu/GeneMark/license_download.cgi ## Workflow The pipeline is based on braker3 and was tested on the following dataset from Drosophila melanogaster: [https://doi.org/10.5281/zenodo.8013373](https://doi.org/10.5281/zenodo.8013373) ### Input data - Reference genome in fasta format - RNAseq data in paired-end zipped fastq format - uniprot fasta sequences in zipped fasta format ### Pipeline steps - **Repeat Model and Mask** Run RepeatModeler using the genome as input, filter any repeats also annotated as protein sequences in the uniprot database and use this filtered libray to mask the genome with RepeatMasker - **Map RNAseq data** Trim any remaining adapter sequences and map the trimmed reads to the input genome - **Run gene prediction software** Use the mapped RNAseq reads and the uniprot sequences to create hints for gene prediction using Braker3 on the masked genome - **Evaluate annotation** Run BUSCO to evaluate the completeness of the annotation produced ### Output data - FastQC reports for input RNAseq data before and after adapter trimming - RepeatMasker report containing quantity of masked sequence and distribution among TE families - Protein-coding gene annotation file in gff3 format - BUSCO summary of annotated sequences ## Setup Your data should be placed in the `data` folder, with the reference genome in the folder `data/ref` and the transcript data in the foler `data/rnaseq`. The config file requires the following to be given: ``` asm: 'absolute path to reference fasta' snakemake_dir_path: 'path to snakemake working directory' name: 'name for project, e.g. mHomSap1' RNA_dir: 'absolute path to rnaseq directory' busco_phylum: 'busco database to use for evaluation e.g. mammalia_odb10' ``` https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/description # ERGA Protein-coding gene annotation workflow. Adapted from the work of Sagane Joye: https://github.com/sdind/genome_annotation_workflow ## Prerequisites The following programs are required to run the workflow and the listed version were tested. It should be noted that older versions of snakemake are not compatible with newer versions of singularity as is noted here: [https://github.com/nextflow-io/nextflow/issues/1659](https://github.com/nextflow-io/nextflow/issues/1659). `conda v 23.7.3` `singularity v 3.7.3` `snakemake v 7.32.3` You will also need to acquire a licence key for Genemark and place this in your home directory with name `~/.gm_key` The key file can be obtained from the following location, where the licence should be read and agreed to: http://topaz.gatech.edu/GeneMark/license_download.cgi ## Workflow The pipeline is based on braker3 and was tested on the following dataset from Drosophila melanogaster: [https://doi.org/10.5281/zenodo.8013373](https://doi.org/10.5281/zenodo.8013373) ### Input data - Reference genome in fasta format - RNAseq data in paired-end zipped fastq format - uniprot fasta sequences in zipped fasta format ### Pipeline steps - **Repeat Model and Mask** Run RepeatModeler using the genome as input, filter any repeats also annotated as protein sequences in the uniprot database and use this filtered libray to mask the genome with RepeatMasker - **Map RNAseq data** Trim any remaining adapter sequences and map the trimmed reads to the input genome - **Run gene prediction software** Use the mapped RNAseq reads and the uniprot sequences to create hints for gene prediction using Braker3 on the masked genome - **Evaluate annotation** Run BUSCO to evaluate the completeness of the annotation produced ### Output data - FastQC reports for input RNAseq data before and after adapter trimming - RepeatMasker report containing quantity of masked sequence and distribution among TE families - Protein-coding gene annotation file in gff3 format - BUSCO summary of annotated sequences ## Setup Your data should be placed in the `data` folder, with the reference genome in the folder `data/ref` and the transcript data in the foler `data/rnaseq`. The config file requires the following to be given: ``` asm: 'absolute path to reference fasta' snakemake_dir_path: 'path to snakemake working directory' name: 'name for project, e.g. mHomSap1' RNA_dir: 'absolute path to rnaseq directory' busco_phylum: 'busco database to use for evaluation e.g. mammalia_odb10' ``` https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/folders/17b98cad-68c7-4991-acb1-b922f0c3d44f https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/folders/28d4cc6a-cc26-4629-865c-951dcec04a63 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/folders/72f47650-7679-4648-bb43-d28fa77665c4 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/folders/ef0d1b26-8b1c-4a45-9758-52610cb8e3a8 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/043ddb69-1a1c-4eb4-8785-9e3803fa377c https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/11f3e069-8d1d-48da-876f-52fd6d255223 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/hasPart https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/89e1f03d-e2e9-46f1-8386-8cdeff35386c https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/identifier https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/isBasedOn https://github.com/ERGA-consortium/pipelines/tree/main/annotation/snakemake https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/mainEntity Snakefile https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/name Research Object Crate for ERGA Protein-coding gene annotation workflow https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://schema.org/url https://workflowhub.eu/workflows/569/ro_crate?version=1 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Sagane Joye-Dind. 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https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/11f3e069-8d1d-48da-876f-52fd6d255223 http://schema.org/creator https://workflowhub.eu/people/554 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/11f3e069-8d1d-48da-876f-52fd6d255223 http://schema.org/dateCreated 2023-09-12 19:29:55+00:00 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/11f3e069-8d1d-48da-876f-52fd6d255223 http://schema.org/dateModified 2023-09-13 18:25:04.032738+00:00 https://w3id.org/ro-id/7019724e-b5a0-4f7e-a7d6-a1baacac85df/resources/11f3e069-8d1d-48da-876f-52fd6d255223 http://schema.org/description # ERGA Protein-coding gene annotation workflow. Adapted from the work of Sagane Joye: https://github.com/sdind/genome_annotation_workflow ## Prerequisites The following programs are required to run the workflow and the listed version were tested. It should be noted that older versions of snakemake are not compatible with newer versions of singularity as is noted here: [https://github.com/nextflow-io/nextflow/issues/1659](https://github.com/nextflow-io/nextflow/issues/1659). `conda v 23.7.3` `singularity v 3.7.3` `snakemake v 7.32.3` You will also need to acquire a licence key for Genemark and place this in your home directory with name `~/.gm_key` The key file can be obtained from the following location, where the licence should be read and agreed to: http://topaz.gatech.edu/GeneMark/license_download.cgi ## Workflow The pipeline is based on braker3 and was tested on the following dataset from Drosophila melanogaster: [https://doi.org/10.5281/zenodo.8013373](https://doi.org/10.5281/zenodo.8013373) ### Input data - Reference genome in fasta format - RNAseq data in paired-end zipped fastq format - uniprot fasta sequences in zipped fasta format ### Pipeline steps - **Repeat Model and Mask** Run RepeatModeler using the genome as input, filter any repeats also annotated as protein sequences in the uniprot database and use this filtered libray to mask the genome with RepeatMasker - **Map RNAseq data** Trim any remaining adapter sequences and map the trimmed reads to the input genome - **Run gene prediction software** Use the mapped RNAseq reads and the uniprot sequences to create hints for gene prediction using Braker3 on the masked genome - **Evaluate annotation** Run BUSCO to evaluate the completeness of the annotation produced ### Output data - FastQC reports for input RNAseq data before and after adapter trimming - RepeatMasker report containing quantity of masked sequence and distribution among TE families - Protein-coding gene annotation file in gff3 format - BUSCO summary of annotated sequences ## Setup Your data should be placed in the `data` folder, with the reference genome in the folder `data/ref` and the transcript data in the foler `data/rnaseq`. 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