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gene_prediction_curation_with_igv [2023/04/13 16:33] – [Loading into IGV] 134.190.232.186gene_prediction_curation_with_igv [2025/08/07 16:01] (current) – 134.190.145.228
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 Note that here two distinct RNAseq tracks are loaded. One for all the reads stemming from transcripts transcribed from the positive strand of the genome, and one for all those transcribed from the negative strand of the genome. This kind of strand-specificity information is only available when a RNAseq library protocol was used to retains this information, for example the dUTP method. I believe nowadays this is the default so it should be available to you. Note that here two distinct RNAseq tracks are loaded. One for all the reads stemming from transcripts transcribed from the positive strand of the genome, and one for all those transcribed from the negative strand of the genome. This kind of strand-specificity information is only available when a RNAseq library protocol was used to retains this information, for example the dUTP method. I believe nowadays this is the default so it should be available to you.
  
-If you used HISAT2 to map your RNAseq reads to your genome, all "positive" reads will have the tag ''XS:A:+'', while all "negative" reads will have the ''XS:A:-'' tag. One can separate the two types of reads from the HISAT2-generated BAM file using the following command:+If you used HISAT2 with ''--rna-strandness RF'' to map your RNAseq reads to your genome, all "positive" reads will have the tag ''XS:A:+'', while all "negative" reads will have the ''XS:A:-'' tag. One can separate the two types of reads from the HISAT2-generated BAM file using the following command:
  
 <code> <code>
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 samtools index <rnaseq.neg.bam> <rnaseq.neg.bam.bai> samtools index <rnaseq.neg.bam> <rnaseq.neg.bam.bai>
 </code> </code>
 +
 +==== GC content ====
 +
 +It may be nice to have a track in IGV that shows you per-window-size %GC. Here I generate a so-called ''bedGraph'' formatted file that can be loaded into IGV
 +
 +<code>
 +cat Ergobibamus_cyprinoides_CL.scaffolds.fa \
 +    | seqkit sliding -W 50 -s 25 \
 +    | seqkit fx2tab -n -g \
 +    | sed -e "s/_sliding\:/\t/" -e "s/\-/\t/" -e "s/\s+/\t/g" \
 +    > ergo_gc_content.bedgraph
 +</code>
 +
 +You can play with the window size ''-W'' and overlap ''-s'' parameters to fine tune it to your own liking. You can either load in this track via ''File -> Load From File ..'' or through the JSON file (see below)
  
 ==== Loading into IGV ==== ==== Loading into IGV ====
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             "url": "rnaseq_vs_masked_ergo_cyp_genome.sort.neg_transcripts.bam",             "url": "rnaseq_vs_masked_ergo_cyp_genome.sort.neg_transcripts.bam",
             "indexURL": "rnaseq_vs_masked_ergo_cyp_genome.sort.neg_transcripts.bam.bai"             "indexURL": "rnaseq_vs_masked_ergo_cyp_genome.sort.neg_transcripts.bam.bai"
 +        },
 +        {
 +            "name": "GC content",
 +            "type": "wig",
 +            "format": "bedGraph",
 +            "url": "ergo_gc_content.bedgraph",
 +            "graphType": "bar",
 +            "min": 20,
 +            "max": 80,
 +            "color": "#00dad7"
         }         }
 +
     ]     ]
  
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 "name": Desired display name for your track "name": Desired display name for your track
 "type": Type of track. Could be "alignment", "annotation" and perhaps other types "type": Type of track. Could be "alignment", "annotation" and perhaps other types
-"format" : "bam" or "gff3"+"format" : "bam" or "gff3" or "wig"
 "url" : filename of the file you wish to load here "url" : filename of the file you wish to load here
 "fastaURL" : filename of the genome FASTA file "fastaURL" : filename of the genome FASTA file
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 For some frustratingly unknow reason, IGV only displays the three forward frames, OR the three reverse frames. It is, as far as I know, not possible to display all six frames simultaneously. To swap between reverse and forward frames, click on small arrow of the //Sequence// track. To see the sequence track, you need to be sufficiently zoomed in. For some frustratingly unknow reason, IGV only displays the three forward frames, OR the three reverse frames. It is, as far as I know, not possible to display all six frames simultaneously. To swap between reverse and forward frames, click on small arrow of the //Sequence// track. To see the sequence track, you need to be sufficiently zoomed in.
 +
 ==== Curating gene models ==== ==== Curating gene models ====
  
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 | carriage return   | %0D | | carriage return   | %0D |
 | ''%''             | %25 | | ''%''             | %25 |
 +
 +==== Validating curated gene models ====
 +
 +We are only human.
 +
 +Despite our best efforts to curate errors made by the automated gene prediction tools, during the curation process, we humans are prone to make our own mistakes! To help detect at least some of these unintentional oversights, I wrote a script, ''validate_gene_models_in_gff3.py''.
 +
 +It will do some sanity checks on all gene models in the GFF3 file:
 +  * Does the gene feature have any children features?
 +  * Do gene coordinates match with mRNA & tRNA coordinates?
 +  * Does the start coordinate of the first CDS/exon match with the gene start?
 +  * Does the end coordinate of the last CDS/exon match with the gene end?
 +  * Is the cumulative length of all exons a multiple of 3?
 +  * Does the translate CDS start with an M and end with a * (STOP)?
 +  * Are there any premature * (STOP) in the CDS?
 +  * If Blastocystis genome, and there is no STOP, does it end with a TGTTTGTT motif?
 +
 +<code>
 +validate_gene_models_in_gff3.py -g Ergobibamus_cyprinoides_CL.recurated.gff3 -f Ergobibamus_cyprinoides_CL.scaffolds.fa
 +</code>
 +
 +If everything is OK, it will report ''Gene models in provided GFF3 passed all checks!''
 +
 +If a certain feature did not pass a check, the script will prematurely terminate and report an error message. For example ''ValueError: The end coordinate of ctg012.gene0001-1 does not correspond to the last CDS end coordinate''. Now you know where to go in your GFF3 file and fix the problem! After fixing it, rerun the tool.
 +
 +You can also optionally print all protein CDS sequences in FASTA format with the ''--print_proteins'' option:
 +
 +<code>
 +validate_gene_models_in_gff3.py -g Ergobibamus_cyprinoides_CL.recurated.gff3 -f Ergobibamus_cyprinoides_CL.scaffolds.fa --print_proteins > ergo_proteins.fasta
 +</code>
 +
 +<del>NOTE: Currently, the checks performed in the script assume that you haven't annotated any UTRs in your GFF3. If you have UTR (''three_prime_UTR'' or ''five_prime_UTR'') features, for example the start coordinate of the first CDS will not match the start coordinate of the gene. It will thus throw an error, even though your GFF3 is perfectly fine. Something I'll have to fix in the future.</del>
 +
 +UPDATE (Jan 2025): It should now account for UTRs
 +
 +==== Re-streamlining gene names ====
 +
 +During your curation, you may be forced to make new gene names that stray from the original format. For example, if you found that gene ''FUN_000012'' was actually two genes that were wrongly fused, you may have split them up into ''FUN_000012-1'' and ''FUN_000012-2''. This is perfectly fine, but may cause problems if you want to feed the curated GFF3 as input to for example ''funannotate annotate'' or ''funannotate update''. 
 +
 +To re-streamline gene names, you can make use of the ''funannotate util gff-rename'' utility:
 +
 +<code>
 +funannotate util gff-rename \
 +    --gff3 Ergobibamus_curated.gff3 \
 +    --fasta Ergobibamus_contigs.fasta \
 +    --locus_tag PYV62 \
 +    --out Ergobibamus_curated_renamed.gff3
 +</code>
 +
 +Note that I have also added a new locus tag here, ''PYV62''. This was the locus tag assigned to me by the NCBI genome submission portal.
gene_prediction_curation_with_igv.1681414390.txt.gz · Last modified: by 134.190.232.186