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tiger.md
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## TIGER
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Welcome to TIGER! This online tool
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TIGER's ability to make accurate on- and off-target predictions enables users to 1) design highly effective gRNAs and 2) precisely modulate transcript expression by engineered gRNA-target mismatches.
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If you use TIGER, please consider citing our study:
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Please note that this precompiled, online tool differs from the manuscript slightly.
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First, this version of TIGER predicts using just target and guide sequence (see Figure 3c). Second, we map TIGER's predictions to the unit interval to make estimates more interpretable: a Guide Score
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A Guide Score
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This transformation is monotonic and therefore preserves Spearman, AUROC, and AUPRC performance.
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These estimates (transformations of log-fold-change predictions from TIGER) appear in the "Guide Score" column of this online tool’s output.
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The tool supports two methods for transcript entry:
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1) Manual entry of a single transcript
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2) Uploading a FASTA file that can contain one or more transcripts. Each transcript must have a unique ID.
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The tool has three run modes:
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- Report all on-target gRNAs for each provided transcript. This mode does not support off-target identification.
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- Report the top 10 most active, on-target gRNAs for each provided transcript. This mode allows for the optional identification of off-target effects.
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- Report the top 10 most active, on-target gRNAs for each provided transcript and their titration candidates (all possible single mismatches
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The tool uses version 19 of Gencode (protein-coding and lncRNA) to identify off-target candidates.
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## TIGER Tool for Cas13 Efficacy Prediction
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Welcome to TIGER! This online tool accompanies our *Nature Biotechnology* article.
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TIGER's ability to make accurate on- and off-target predictions enables users to 1) design highly effective gRNAs and 2) precisely modulate transcript expression by engineered gRNA-target mismatches.
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If you use TIGER, please consider citing our study:
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Please note that this precompiled, online tool differs from the manuscript slightly.
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First, this version of TIGER predicts using just target and guide sequence (see Figure 3c). Second, we map TIGER's predictions to the unit interval to make estimates more interpretable: a Guide Score close to 1 corresponds to high gRNA activity (i.e. desirable for on-target guides).
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A Guide Score near 0 denotes no/minimal activity (i.e. desirable for off-target effects).
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This transformation is monotonic and therefore preserves Spearman, AUROC, and AUPRC performance.
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These estimates (transformations of log-fold-change predictions from TIGER) appear in the "Guide Score" column of this online tool’s output.
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The tool supports two methods for transcript entry:
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1) Manual entry of a single transcript
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2) Uploading a FASTA file that can contain one or more transcripts. Each transcript **must** have a unique ID.
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The tool has three run modes:
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- Report all on-target gRNAs for each provided transcript. This mode does not support off-target identification.
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- Report the top 10 most active, on-target gRNAs for each provided transcript. This mode allows for the optional identification of off-target effects.
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- Report the top 10 most active, on-target gRNAs for each provided transcript and their titration candidates (all possible single mismatches). Larger guide scores correspond to more transcript knockdown. This mode also does not support off-target identification.
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The tool uses version 19 of Gencode (protein-coding and lncRNA) to identify off-target candidates.
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