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added how to automate chronqc using chrongen
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nilesh-tawari
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Sep 29, 2017
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[ | ||
{ | ||
"//": "SNP and TiTv plots", | ||
"table_name": "CET__SNPs_Indels_Stats_Summary", | ||
"include_samples": "all", | ||
"exclude_samples": "HCT15, NTC", | ||
"chart_type": "time_series_with_box_whisker_plot", | ||
"chart_properties": { | ||
"chart_title": "CET: Number of SNPs found in Samples Over Time (per month)", | ||
"y_value": "Number", | ||
"Type": "SNPs", | ||
"y_label": "# of SNPs found in each sample" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__SNPs_Indels_Stats_Summary", | ||
"include_samples": "all", | ||
"exclude_samples": "HCT15, NTC", | ||
"chart_type": "time_series_with_box_whisker_plot", | ||
"chart_properties": { | ||
"chart_title": "CET: Number of Indels found in Samples over Time (per month)", | ||
"y_value": "Number", | ||
"Type": "Indels", | ||
"y_label": "# of Indels found in each sample" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Ti_Tv_Ratio_Stats", | ||
"include_samples": "all", | ||
"exclude_samples": "HCT15, NTC", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Transition to Transversion Ratio of Samples (per exome)", | ||
"y_value": "Number", | ||
"y_label": "TiTv ratio of sample", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"\\": "Production stats", | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: % Duplicates in On-target Sites (per exome)", | ||
"y_value": "Duplicates", | ||
"y_label": "% Duplicates", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Average Mapping Quality of On-target Sites (per exome)", | ||
"y_value": "MappingQuality", | ||
"y_label": "Mapping Quality", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Average Base Quality Scored in On-target Sites (per exome)", | ||
"y_value": "BaseQuality", | ||
"y_label": "Average Base Quality Score", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"\\": "Production stats", | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Number of Bases In Reads within On-target Sites (per exome)", | ||
"y_value": "BasesOfReads", | ||
"y_label": "Bases of Reads", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: % Bases in Reads within On-target Sites (per exome)", | ||
"y_value": "%BasesofReads", | ||
"y_label": "% Bases of Reads", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Depth Median (per exome)", | ||
"y_value": "Depth", | ||
"y_label": "Depth Median", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Production_Run_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: GC Content % (per exome)", | ||
"y_value": "GCContent", | ||
"y_label": "GC Content %", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Protein_Change", | ||
"include_samples": "all", | ||
"exclude_samples": "HCT15, NTC", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Number of Missense Variants (per exome)", | ||
"y_value": "Missense_variant", | ||
"y_label": "# of Variants", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Protein_Change", | ||
"include_samples": "all", | ||
"exclude_samples": "HCT15, NTC", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Number of Synonymous Variants (per exome)", | ||
"y_value": "Synonymous_variant", | ||
"y_label": "# of Variants", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__Protein_Change", | ||
"include_samples": "all", | ||
"exclude_samples": "HCT15, NTC", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: Number of Protein Truncating Variants (per exome)", | ||
"y_value": "Protein_trunc", | ||
"y_label": "# of Variants", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"//": "Sequencing plots", | ||
"table_name": "CET__NextSeq_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_absolute_threshold", | ||
"chart_properties": { | ||
"chart_title": "CET: Cluster Density (per NextSeq flowcell)", | ||
"y_value": "MeanClusterDensity", | ||
"lower_threshold": 170, | ||
"upper_threshold": 230, | ||
"y_label": "Cluster Density", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__NextSeq_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_absolute_threshold", | ||
"chart_properties": { | ||
"chart_title": "CET: % of Cluster Passing Filter (per NextSeq flowcell)", | ||
"y_value": "MeanPFClusterDensity", | ||
"lower_threshold": 90, | ||
"y_label": "PassFilter %", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__NextSeq_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_absolute_threshold", | ||
"chart_properties": { | ||
"chart_title": "CET: Q30 Score (per NextSeq flowcell)", | ||
"y_value": "Q30", | ||
"lower_threshold": 75, | ||
"y_label": "Q30 Score", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__NextSeq_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: % Aligned on PhiX (per NextSeq flowcell)", | ||
"y_value": "PhiXAlignment", | ||
"y_label": "Alignment to PhiX", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
}, | ||
{ | ||
"table_name": "CET__NextSeq_Stats_Summary", | ||
"include_samples": "all", | ||
"chart_type": "time_series_with_mean_and_stdev", | ||
"chart_properties": { | ||
"chart_title": "CET: % Error Rate of PhiX (per NextSeq flowcell)", | ||
"y_value": "ErrorRate", | ||
"y_label": "Error Rate", | ||
"window" : "365D", | ||
"per_sample": "True" | ||
} | ||
} | ||
] |
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