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1 ---
2 layout: default
3 navsection: userguide
4 title: "Using GATK with Arvados"
5 ...
6
7 This tutorial demonstrates how to use the Genome Analysis Toolkit (GATK) with Arvados. In this example we will install GATK and then create a VariantFiltration job to assign pass/fail scores to variants in a VCF file.
8
9 {% include 'tutorial_expectations' %}
10
11 h2. Installing GATK
12
13 Download the GATK binary tarball[1] -- e.g., @GenomeAnalysisTK-2.6-4.tar.bz2@ -- and "copy it to your Arvados VM":{{site.baseurl}}/user/tutorials/tutorial-keep.html.
14
15 <notextile>
16 <pre><code>~$ <span class="userinput">arv keep put GenomeAnalysisTK-2.6-4.tar.bz2</span>
17 c905c8d8443a9c44274d98b7c6cfaa32+94
18 </code></pre>
19 </notextile>
20
21 Next, you need the GATK Resource Bundle[2].  This may already be available in Arvados.  If not, you will need to download the files listed below and put them into Keep.
22
23 <notextile>
24 <pre><code>~$ <span class="userinput">arv keep ls -s d237a90bae3870b3b033aea1e99de4a9+10820</span>
25   50342 1000G_omni2.5.b37.vcf.gz
26       1 1000G_omni2.5.b37.vcf.gz.md5
27     464 1000G_omni2.5.b37.vcf.idx.gz
28       1 1000G_omni2.5.b37.vcf.idx.gz.md5
29   43981 1000G_phase1.indels.b37.vcf.gz
30       1 1000G_phase1.indels.b37.vcf.gz.md5
31     326 1000G_phase1.indels.b37.vcf.idx.gz
32       1 1000G_phase1.indels.b37.vcf.idx.gz.md5
33  537210 CEUTrio.HiSeq.WGS.b37.bestPractices.phased.b37.vcf.gz
34       1 CEUTrio.HiSeq.WGS.b37.bestPractices.phased.b37.vcf.gz.md5
35    3473 CEUTrio.HiSeq.WGS.b37.bestPractices.phased.b37.vcf.idx.gz
36       1 CEUTrio.HiSeq.WGS.b37.bestPractices.phased.b37.vcf.idx.gz.md5
37   19403 Mills_and_1000G_gold_standard.indels.b37.vcf.gz
38       1 Mills_and_1000G_gold_standard.indels.b37.vcf.gz.md5
39     536 Mills_and_1000G_gold_standard.indels.b37.vcf.idx.gz
40       1 Mills_and_1000G_gold_standard.indels.b37.vcf.idx.gz.md5
41   29291 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.sites.vcf.gz
42       1 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.sites.vcf.gz.md5
43     565 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.sites.vcf.idx.gz
44       1 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.sites.vcf.idx.gz.md5
45   37930 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.vcf.gz
46       1 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.vcf.gz.md5
47     592 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.vcf.idx.gz
48       1 NA12878.HiSeq.WGS.bwa.cleaned.raw.subset.b37.vcf.idx.gz.md5
49 5898484 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.bam
50     112 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.bam.bai.gz
51       1 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.bam.bai.gz.md5
52       1 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.bam.md5
53    3837 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.vcf.gz
54       1 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.vcf.gz.md5
55      65 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.vcf.idx.gz
56       1 NA12878.HiSeq.WGS.bwa.cleaned.recal.b37.20.vcf.idx.gz.md5
57  275757 dbsnp_137.b37.excluding_sites_after_129.vcf.gz
58       1 dbsnp_137.b37.excluding_sites_after_129.vcf.gz.md5
59    3735 dbsnp_137.b37.excluding_sites_after_129.vcf.idx.gz
60       1 dbsnp_137.b37.excluding_sites_after_129.vcf.idx.gz.md5
61  998153 dbsnp_137.b37.vcf.gz
62       1 dbsnp_137.b37.vcf.gz.md5
63    3890 dbsnp_137.b37.vcf.idx.gz
64       1 dbsnp_137.b37.vcf.idx.gz.md5
65   58418 hapmap_3.3.b37.vcf.gz
66       1 hapmap_3.3.b37.vcf.gz.md5
67     999 hapmap_3.3.b37.vcf.idx.gz
68       1 hapmap_3.3.b37.vcf.idx.gz.md5
69       3 human_g1k_v37.dict.gz
70       1 human_g1k_v37.dict.gz.md5
71       2 human_g1k_v37.fasta.fai.gz
72       1 human_g1k_v37.fasta.fai.gz.md5
73  849537 human_g1k_v37.fasta.gz
74       1 human_g1k_v37.fasta.gz.md5
75       1 human_g1k_v37.stats.gz
76       1 human_g1k_v37.stats.gz.md5
77       3 human_g1k_v37_decoy.dict.gz
78       1 human_g1k_v37_decoy.dict.gz.md5
79       2 human_g1k_v37_decoy.fasta.fai.gz
80       1 human_g1k_v37_decoy.fasta.fai.gz.md5
81  858592 human_g1k_v37_decoy.fasta.gz
82       1 human_g1k_v37_decoy.fasta.gz.md5
83       1 human_g1k_v37_decoy.stats.gz
84       1 human_g1k_v37_decoy.stats.gz.md5
85 </code></pre>
86 </notextile>
87
88 h2. Submit a GATK job
89
90 The Arvados distribution includes an example crunch script ("crunch_scripts/GATK2-VariantFiltration":https://dev.arvados.org/projects/arvados/repository/revisions/master/entry/crunch_scripts/GATK2-VariantFiltration) that runs the GATK VariantFiltration tool with some default settings.
91
92 <notextile>
93 <pre><code>~$ <span class="userinput">src_version=76588bfc57f33ea1b36b82ca7187f465b73b4ca4</span>
94 ~$ <span class="userinput">vcf_input=5ee633fe2569d2a42dd81b07490d5d13+82</span>
95 ~$ <span class="userinput">gatk_binary=c905c8d8443a9c44274d98b7c6cfaa32+94</span>
96 ~$ <span class="userinput">gatk_bundle=d237a90bae3870b3b033aea1e99de4a9+10820</span>
97 ~$ <span class="userinput">cat &gt;the_job &lt;&lt;EOF
98 {
99  "script":"GATK2-VariantFiltration",
100  "repository":"arvados",
101  "script_version":"$src_version",
102  "script_parameters":
103  {
104   "input":"$vcf_input",
105   "gatk_binary_tarball":"$gatk_binary",
106   "gatk_bundle":"$gatk_bundle"
107  }
108 }
109 EOF</span>
110 </code></pre>
111 </notextile>
112
113 * @"input"@ is collection containing the source VCF data. Here we are using an exome report from PGP participant hu34D5B9.
114 * @"gatk_binary_tarball"@ is a Keep collection containing the GATK 2 binary distribution[1] tar file.
115 * @"gatk_bundle"@ is a Keep collection containing the GATK resource bundle[2].
116
117 Now start a job:
118
119 <notextile>
120 <pre><code>~$ <span class="userinput">arv job create --job "$(cat the_job)"</span>
121 {
122  "href":"https://qr1hi.arvadosapi.com/arvados/v1/jobs/qr1hi-8i9sb-n9k7qyp7bs5b9d4",
123  "kind":"arvados#job",
124  "etag":"9j99n1feoxw3az448f8ises12",
125  "uuid":"qr1hi-8i9sb-n9k7qyp7bs5b9d4",
126  "owner_uuid":"qr1hi-tpzed-9zdpkpni2yddge6",
127  "created_at":"2013-12-17T19:02:15Z",
128  "modified_by_client_uuid":"qr1hi-ozdt8-obw7foaks3qjyej",
129  "modified_by_user_uuid":"qr1hi-tpzed-9zdpkpni2yddge6",
130  "modified_at":"2013-12-17T19:02:15Z",
131  "updated_at":"2013-12-17T19:02:15Z",
132  "submit_id":null,
133  "priority":null,
134  "script":"GATK2-VariantFiltration",
135  "script_parameters":{
136   "input":"5ee633fe2569d2a42dd81b07490d5d13+82",
137   "gatk_binary_tarball":"c905c8d8443a9c44274d98b7c6cfaa32+94",
138   "gatk_bundle":"d237a90bae3870b3b033aea1e99de4a9+10820"
139  },
140  "script_version":"76588bfc57f33ea1b36b82ca7187f465b73b4ca4",
141  "cancelled_at":null,
142  "cancelled_by_client_uuid":null,
143  "cancelled_by_user_uuid":null,
144  "started_at":null,
145  "finished_at":null,
146  "output":null,
147  "success":null,
148  "running":null,
149  "is_locked_by_uuid":null,
150  "log":null,
151  "runtime_constraints":{},
152  "tasks_summary":{}
153 }
154 </code></pre>
155 </notextile>
156
157 Once the job completes, the output can be found in hu34D5B9-exome-filtered.vcf:
158
159 <notextile><pre><code>~$ <span class="userinput">arv keep ls bedd6ff56b3ae9f90d873b1fcb72f9a3+91</span>
160 hu34D5B9-exome-filtered.vcf
161 </code></pre>
162 </notextile>
163
164 h2. Notes
165
166 fn1. "Download the GATK tools":http://www.broadinstitute.org/gatk/download
167
168 fn2. "Information about the GATK resource bundle":http://gatkforums.broadinstitute.org/discussion/1213/whats-in-the-resource-bundle-and-how-can-i-get-it and "direct download link":ftp://gsapubftp-anonymous@ftp.broadinstitute.org/bundle/2.5/b37/ (if prompted, submit an empty password)