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Removed spurious '>' (typo)
[arvados.git] / doc / user / tutorials / tutorial-trait-search.textile
diff --git a/doc/user/tutorials/tutorial-trait-search.textile b/doc/user/tutorials/tutorial-trait-search.textile
index 4f4ec9c2e39a98c92ac1b949a13064c6c35be165..9ea4cb6eb4e231de08620daa7488f0bcdf0b1bf2 100644 (file)
--- a/doc/user/tutorials/tutorial-trait-search.textile
+++ b/doc/user/tutorials/tutorial-trait-search.textile
@@ -29,11 +29,10 @@ If everything is set up correctly, you will be able to import the arvados SDK.
 
 notextile. <pre><code>&gt;&gt;&gt; <span class="userinput">import arvados</span></pre></code>
 
-This tutorial will also use the regular expression (re) and json python modules:
+This tutorial will also use the regular expression (re) python module:
 
 <notextile>
 <pre><code>&gt;&gt;&gt; <span class="userinput">import re</span>
-&gt;&gt;&gt; <span class="userinput">import json</span>
 </code></pre>
 </notextile>
 
@@ -72,11 +71,11 @@ h2. Finding humans with the selected trait
 We query the "links" resource to find humans that report the selected trait.  Links are directional connections between Arvados data items, for example, from a human to their reported traits.
 
 <notextile>
-<pre><code>&gt;&gt;&gt; <span class="userinput">trait_query = json.dumps({
+<pre><code>&gt;&gt;&gt; <span class="userinput">trait_query = {
     'link_class': 'human_trait',
     'tail_kind': 'arvados#human',
     'head_uuid': non_melanoma_cancer
-  })
+  }
 </code></pre>
 </notextile>
 
@@ -125,10 +124,10 @@ u'1h9kt-7a9it-t1v8sjz6dm9jmjf', u'1h9kt-7a9it-qe8wrbyvuqs5jew']
 h2. Find Personal Genome Project identifiers from Arvados UUIDs
 
 <notextile>
-<pre><code>&gt;&gt;&gt; <span class="userinput">human_query = json.dumps({
+<pre><code>&gt;&gt;&gt; <span class="userinput">human_query = {
     "link_class": "identifier",
     "head_uuid": human_uuids
-  })</span>
+  }</span>
 &gt;&gt;&gt; <span class="userinput">pgpid_links = arvados.api('v1').links().list(limit=1000, where=human_query).execute()</span>
 &gt;&gt;&gt; <span class="userinput">map(lambda l: l['name'], pgpid_links['items'])</span>
 [u'hu01024B', u'hu11603C', u'hu15402B', u'hu174334', u'hu1BD549', u'hu237A50',
@@ -151,11 +150,11 @@ h2. Find genomic data from specific humans
 Now we want to find collections in Keep that were provided by these humans.  We search the "links" resource for "provenance" links that point to subjects in list of humans with the non-melanoma skin cancer trait:
 
 <notextile>
-<pre><code>&gt;&gt;&gt; <span class="userinput">provenance_links = arvados.api().links().list(limit=1000, where=json.dumps({
+<pre><code>&gt;&gt;&gt; <span class="userinput">provenance_links = arvados.api().links().list(limit=1000, where={
     "link_class": "provenance",
     "name": "provided",
     "tail_uuid": human_uuids
-  })).execute()
+  }).execute()
 collection_uuids = map(lambda l: l['head_uuid'], provenance_links['items'])
 
 # build map of human uuid -> PGP ID
@@ -168,9 +167,9 @@ for p_link in provenance_links['items']:
   pgpid[p_link['head_uuid']] = pgpid[p_link['tail_uuid']]
 
 # get details (e.g., list of files) of each collection
-collections = arvados.api('v1').collections().list(where=json.dumps({
+collections = arvados.api('v1').collections().list(where={
     "uuid": collection_uuids
-  })).execute()
+  }).execute()
 
 # print PGP public profile links with file locators
 for c in collections['items']:
@@ -184,17 +183,17 @@ https://my.personalgenomes.org/profile/hu7A2F1D 756d0ada29b376140f64e7abfe6aa0e7
 https://my.personalgenomes.org/profile/hu553620 7ed4e425bb1c7cc18387cbd9388181df var-GS000015272-ASM.tsv.bz2
 https://my.personalgenomes.org/profile/huD09534 542112e210daff30dd3cfea4801a9f2f var-GS000016374-ASM.tsv.bz2
 https://my.personalgenomes.org/profile/hu599905 33a9f3842b01ea3fdf27cc582f5ea2af var-GS000016015-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/hu43860C a58dca7609fa84c8c38a7e926a97b2fc+302+K@qr1hi var-GS00253-DNA_A01_200_37-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/huB1FD55 ea30eb9e46eedf7f05ed6e348c2baf5d+291+K@qr1hi var-GS000010320-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/huDF04CC 4ab0df8f22f595d1747a22c476c05873+242+K@qr1hi var-GS000010427-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/hu7A2F1D 756d0ada29b376140f64e7abfe6aa0e7+242+K@qr1hi var-GS000014566-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/hu553620 7ed4e425bb1c7cc18387cbd9388181df+242+K@qr1hi var-GS000015272-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/huD09534 542112e210daff30dd3cfea4801a9f2f+242+K@qr1hi var-GS000016374-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/hu599905 33a9f3842b01ea3fdf27cc582f5ea2af+242+K@qr1hi var-GS000016015-ASM.tsv.bz2
-https://my.personalgenomes.org/profile/hu599905 d6e2e57cd60ba5979006d0b03e45e726+81+K@qr1hi Witch_results.zip
-https://my.personalgenomes.org/profile/hu553620 ea4f2d325592a1272f989d141a917fdd+85+K@qr1hi Devenwood_results.zip
-https://my.personalgenomes.org/profile/hu7A2F1D 4580f6620bb15b25b18373766e14e4a7+85+K@qr1hi Innkeeper_results.zip
-https://my.personalgenomes.org/profile/huD09534 fee37be9440b912eb90f5e779f272416+82+K@qr1hi Hallet_results.zip
+https://my.personalgenomes.org/profile/hu43860C a58dca7609fa84c8c38a7e926a97b2fc+302 var-GS00253-DNA_A01_200_37-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/huB1FD55 ea30eb9e46eedf7f05ed6e348c2baf5d+291 var-GS000010320-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/huDF04CC 4ab0df8f22f595d1747a22c476c05873+242 var-GS000010427-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/hu7A2F1D 756d0ada29b376140f64e7abfe6aa0e7+242 var-GS000014566-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/hu553620 7ed4e425bb1c7cc18387cbd9388181df+242 var-GS000015272-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/huD09534 542112e210daff30dd3cfea4801a9f2f+242 var-GS000016374-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/hu599905 33a9f3842b01ea3fdf27cc582f5ea2af+242 var-GS000016015-ASM.tsv.bz2
+https://my.personalgenomes.org/profile/hu599905 d6e2e57cd60ba5979006d0b03e45e726+81 Witch_results.zip
+https://my.personalgenomes.org/profile/hu553620 ea4f2d325592a1272f989d141a917fdd+85 Devenwood_results.zip
+https://my.personalgenomes.org/profile/hu7A2F1D 4580f6620bb15b25b18373766e14e4a7+85 Innkeeper_results.zip
+https://my.personalgenomes.org/profile/huD09534 fee37be9440b912eb90f5e779f272416+82 Hallet_results.zip
 </code></pre>
 </notextile>