|
35 | 35 | ############################## |
36 | 36 |
|
37 | 37 | # Number of threads to use per rule/sample for multithreaded rules, multithreading will significantly speed up these rules (diminishing speed gains beyond 8 threads) |
38 | | -THREADS: |
| 38 | +THREADS: |
39 | 39 |
|
40 | 40 | # Maximum memory usage per rule/sample (eg. '40g' for 40 gigabytes, this should suffice for exomes) |
41 | 41 | MAXMEMORY: "" |
42 | 42 |
|
43 | 43 | # Maximum number of GPU's to be used per rule/sample for gpu-accelerated runs (eg `1` for 1 GPU) |
44 | | -GPU: |
| 44 | +GPU: |
45 | 45 |
|
46 | 46 | ############################## |
47 | 47 | ###### Variant filtering ##### |
48 | 48 | ############################## |
49 | 49 |
|
50 | | -# Resources used to filter indels and SNP's... |
51 | | -FILTERING: |
52 | | - # ...for analysis of single samples |
53 | | - SINGLE: "" |
54 | | - |
55 | | - # ...for analysis of cohorts |
56 | | - COHORT: |
57 | | - INDELS: "" |
58 | | - SNPS: "" |
59 | | - |
60 | | - # Tranche filtering level/truth sensitivity |
61 | | - TRANCHE: |
62 | | - SNPS: "" |
63 | | - INDELS: "" |
| 50 | +# Tranche filtering level/truth sensitivity |
| 51 | +TRANCHE: |
| 52 | + SNPS: "" |
| 53 | + INDELS: "" |
| 54 | + |
| 55 | +############################################### |
| 56 | +###### Variant filtering - SINGLE SAMPLES ##### |
| 57 | +############################################### |
| 58 | + |
| 59 | +# Filtering for single sample analyses |
| 60 | +# If NOT analysing single sample data, leave this section blank |
| 61 | +# (see more about these settings for gatk FilterVariantTranches at https://gatk.broadinstitute.org/hc/en-us/articles/360042479092-FilterVariantTranches) |
| 62 | + |
| 63 | +SINGLE: |
| 64 | + |
| 65 | + # Provide a list of resources |
| 66 | + RESOURCES: |
| 67 | + - |
| 68 | + - |
| 69 | + |
| 70 | +################################################ |
| 71 | +###### Variant filtering - COHORT ANALYSIS ##### |
| 72 | +################################################ |
| 73 | + |
| 74 | +# Filtering for cohort analyses |
| 75 | +# If NOT analysing cohorts, leave this section blank |
| 76 | +# (see more about these settings for gatk VariantRecalibrator at https://gatk.broadinstitute.org/hc/en-us/articles/360042914791-VariantRecalibrator) |
| 77 | + |
| 78 | +COHORT: |
| 79 | + |
| 80 | + # For indels... |
| 81 | + INDELS: |
| 82 | + |
| 83 | + # ...provide a list of resources |
| 84 | + RESOURCES: |
| 85 | + - |
| 86 | + - |
| 87 | + - |
| 88 | + |
| 89 | + # ...provide associated machine learning parameters |
| 90 | + PARAMS: |
| 91 | + - |
| 92 | + - |
| 93 | + - |
| 94 | + |
| 95 | + # For SNP's... |
| 96 | + SNPS: |
| 97 | + |
| 98 | + # ...provide a list of resources |
| 99 | + RESOURCES: |
| 100 | + - |
| 101 | + - |
| 102 | + - |
| 103 | + |
| 104 | + # ...provide associated machine learning parameters |
| 105 | + PARAMS: |
| 106 | + - |
| 107 | + - |
| 108 | + - |
64 | 109 |
|
65 | 110 | ############################## |
66 | 111 | ####### VCF annotation ####### |
|
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