Andrew Stirn commited on
Commit
8932957
·
1 Parent(s): 7c86dc4
Files changed (2) hide show
  1. requirements.txt +1 -0
  2. tiger.md +1 -1
requirements.txt CHANGED
@@ -1,4 +1,5 @@
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  biopython==1.80
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  pandas==1.5.2
 
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  tensorflow==2.11.0
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  tensorflow-probability==0.19.0
 
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  biopython==1.80
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  pandas==1.5.2
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+ numpy==1.26.4
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  tensorflow==2.11.0
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  tensorflow-probability==0.19.0
tiger.md CHANGED
@@ -24,7 +24,7 @@ The tool has three run modes:
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  2) Report the top 10 most active, on-target gRNAs for each provided transcript. This mode allows for the optional identification of off-target effects. For off-target avoidance, please note that a higher `Guide Score` (closer to 1) corresponds to *more* likely off-target effects.
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  3) Report the top 10 most active, on-target gRNAs for each provided transcript and their titration candidates (all possible single mismatches). A higher `Guide Score` (closer to 1) corresponds to greater transcript knockdown.
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- The tool uses Gencode v19 (protein-coding and non-coding RNAs) to identify potential off-target transcripts.
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  Due to computational limitations, the online tool only supports off-target predictions for the top 10 most active, on-target gRNAs per transcript.
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  ### Future Development Plans
 
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  2) Report the top 10 most active, on-target gRNAs for each provided transcript. This mode allows for the optional identification of off-target effects. For off-target avoidance, please note that a higher `Guide Score` (closer to 1) corresponds to *more* likely off-target effects.
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  3) Report the top 10 most active, on-target gRNAs for each provided transcript and their titration candidates (all possible single mismatches). A higher `Guide Score` (closer to 1) corresponds to greater transcript knockdown.
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+ The tool uses Gencode v47 (protein-coding and non-coding RNAs) to identify potential off-target transcripts.
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  Due to computational limitations, the online tool only supports off-target predictions for the top 10 most active, on-target gRNAs per transcript.
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  ### Future Development Plans