Hi @rkd
You data content seems to be in GFF3 format, not GTF. You can get the GTF from NCBI.
Context links
- Original Q&A → Built-in reference genome of domestic water buffalo
- Species link from my post → Bubalus bubalis genome assembly NDDB_SH_1 - NCBI - NLM
- Top level for the first reference genome (the one with the green star at NCBI) → Bubalus bubalis genome assembly NDDB_SH_1 - NCBI - NLM
- FTP link from that page points to here → Index of /genomes/all/GCF/019/923/935/GCF_019923935.1_NDDB_SH_1
Then you have a choice of reference files. I would choose these (if I guessed the species you are interested in correctly?):
- genome (nucleotide fasta) → https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/019/923/935/GCF_019923935.1_NDDB_SH_1/GCF_019923935.1_NDDB_SH_1_genomic.fna.gz
- annotation (GTF format) → https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/019/923/935/GCF_019923935.1_NDDB_SH_1/GCF_019923935.1_NDDB_SH_1_genomic.gtf.gz
You should be able to import those two files by URL into a Galaxy history using the Upload tool with all default settings. Then, run some data cleanup to get the format into a very simple, basic specification. Example where I did this for another genome is here →
I did two things:
-
Ran NormalizeFasta on the reference genome fasta to remove the description content from the > title lines. This isolates the chromosome identifiers in a way STAR and many other tools will expect.
-
Ran Select to remove the # header lines from the reference annotation. Data providers include header lines for provenience reasons but many (most?) tools expect a stricter format that does not include any headers. So, remove them to avoid errors. You can keep a copy of the original file for your records if you need to check or cite any of that header information later.
More details about what I am suggesting → FAQ: Extended Help for Differential Expression Analysis Tools
And, if you really want to use GFF3 data instead, that is possible, but has scientific considerations since different data points will be used for the summaries. If interested, this is one topic where that is explored. → Featurecounts error using a gene annotation from a gff3 file - #2 by jennaj.
Please give that a try. 