Hi,
So i have some fungal genome assemblies, for which i did
- 1 TE annotation and assembly softmasking using
EarlGrey - 2 Gene structural annotations using
BRAKER3un ETP mode using bothRNASeq + Proteinsas evidance.
My annotations are complete and i got .gff3, .gtf .aa files. and looking at basic stats i get
grep -c "gene" braker.gff3 : 16246
grep -c "mRNA" braker.gff3 : 30901
grep -c "CDS" braker.gff3: 86534
I understand the part that higher number of mRNA indicates multiple transcripts.
My next tasks are to perform Functional annotations, using tools like antismash, interproscan etc.
Questions
1 Do i need to perform anz kind on QC on the annotations as there are multiple proteins in
braker.aafiles withXeither in start or end of sequences and many protein sequences are kinda really small. for exampleg2319.t1 MDAKLTIADX
g3697.t1 XC*
g4306.t1 XISWACAG*
this somehow is creating issues in during the functional annotation steps.
Should i follow the "1 gene 1 protein" method and generate and filter by keeping only the longest isoforms ? if i do this then how to generate the protein sequences for the longest isoforms only ?
Thank you.
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Assuming your GFF files are in the right format you can look at the answer here: select longest isoform from RefSeq proteome fasta
Thank you, I got that point, but is this QC or selection of longest isoforms important step to do, Should i remove those really small proteins (the example above) from my data ?
What are the
Xsymbols in your data ? I think the*symbols will cause issues downstream in a lot of applications so would remove them. I would also remove any microproteins of less than 30 or 50 amino acids. Check what others have done in your field.Transdecoder and td2 can create the longest ORFs and protein sequences from transcript sequences if you are prepared to head further down this route.
*means stop codon in some annotation tools. and what i found by googlingXmeans ambigous amino-acid.tried looking in papers which used Braker3 for annotations, but could not find anything to this point specifically.
I will try looking on
Transdecoderandtd2.As long as you identified good gene models (based on discussion in other threads), they should be enough to allow you to create the pangenome (especially if you use a published RefSeq genome as an anchor). colindaven has more experience in this area so may have more to say.