Comments (5)
Your assumption is correct (spliceai_scores.masked.snv.hg19.vcf.gz is the super-set of whole_genome_filtered_spliceai_scores.vcf.gz though). Please see FAQ #2 in the github README for raw vs masked.
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You should find them here: https://basespace.illumina.com/s/5u6ThOblecrh . The "all possible SNVs" file contains only those variants which have a SpliceAI score > 0.1 to keep the file size manageable. If you're interested in variants with SpliceAI score < 0.1 as well, my recommendation would be to start with the grch37.txt file in the spliceai/annotations folder (github). It contains the list of genes, their transcription start and end sites that were used to precompute the SNV scores (i.e., only the SNVs within these regions were considered). You can create a list of all possible SNVs within these positions. If you find the SpliceAI annotation in the precomputed file, then use the annotation, else set the SpliceAI score to 0 I guess (although that is not a 100% precise as we only know that it is <0.1).
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Hi, it looks like the BaseSpace folder only contains the GRCh38 sites, or am I mistaken?
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Another suggestion: Zeondo takes versioned uploads and preserves them for eternity (albeit with no easy possibility to take down files). Maybe this could complement the base space files for those of us who cannot go/have not gone cloud yet?
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Am I correct in assuming that genome_scores_v1.3/spliceai_scores.raw.snv.hg19.vcf.gz
contains all SNVs, even those with a max SpliceAI score <0.1? Based on taking subsets of this file it seems like this is the case, but I want to make sure.
In contrast, SupplementaryData/SpliceAI_supplement_v2/whole_genome_filtered_spliceai_scores.vcf.gz
only contains SNVs (and INDELS) where SpliceAI score >0.1, correct?
Thanks!,
Brian
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Related Issues (20)
- Lower Accuracy Than Introme HOT 1
- Training with additional Batch Normalization layer producing strange results HOT 1
- Trouble to launch SpliceAI with grch37 HOT 5
- spliceAI not giving output value while running using vep (Variant Ensemble Predictor) HOT 3
- Position of splice sites within an insertion HOT 1
- Training input shape HOT 1
- Question about using snv and indel score files
- variant not scored HOT 5
- Running SpliceAI takes too much time
- Duplicate records in the released VCF file HOT 3
- Unable to install using conda install HOT 1
- Running Short Tandem Repeat genotypes
- build-in grch38 annotation
- How to make a custom annotation set? HOT 2
- No training configuration found in the save file, so the model was *not* compiled. Compile it manually. HOT 3
- spliceai score HOT 3
- Query about spliceai to calculate Delins HOT 1
- WARNING:root:Skipping record (ref too long)
- Way to many TEMP files
- Figure 1c Reproduction HOT 2
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