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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 GA4GH 1000 Genomes Reads Protocol Example
This example illustrates how to access alignment data made available using a GA4GH interface.
Initialize the client
In this step we create a client object which will be used to communicate with the server. It is initialized using the URL.
Step1:  Search read group sets
Read group sets are logical containers for read groups similar to BAM.
We can obtain read group sets via a search_read_group_sets request. Observe that this request takes as it's main parameter dataset_id, which was obtained using the example in 1kg_metadata_service using a search_datasets request.
Step2:  Note
Step3:  Note, like in the previous example. Only a selected amount of parameters are selected for illustration, the data returned by the server is far richer, this format is only to have a more aesthetic presentation.
Search reads
This request returns reads were the read group set names we obtained above. The reference ID provided corresponds to chromosome 1 as obtained from the 1kg_reference_service examples. A search_reads request searches for read alignments in a region using start and end coordinates.
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Python Code:
import ga4gh_client.client as client
c = client.HttpClient("http://1kgenomes.ga4gh.org")
Explanation: GA4GH 1000 Genomes Reads Protocol Example
This example illustrates how to access alignment data made available using a GA4GH interface.
Initialize the client
In this step we create a client object which will be used to communicate with the server. It is initialized using the URL.
End of explanation
counter = 0
for read_group_set in c.search_read_group_sets(dataset_id="WyIxa2dlbm9tZXMiXQ"):
    counter += 1
    if counter < 4:
        print "Read Group Set: {}".format(read_group_set.name)
        print "id: {}".format(read_group_set.id)
        print "dataset_id: {}".format(read_group_set.dataset_id)
        print "Aligned Read Count: {}".format(read_group_set.stats.aligned_read_count)
        print "Unaligned Read Count: {}\n".format(read_group_set.stats.unaligned_read_count)
        for read_group in read_group_set.read_groups:
            print "  Read group:"
            print "  id: {}".format(read_group.id)
            print "  Name: {}".format(read_group.name)
            print "  Description: {}".format(read_group.description)
            print "  Biosample Id: {}\n".format(read_group.bio_sample_id)
    else:
        break
Explanation: Search read group sets
Read group sets are logical containers for read groups similar to BAM.
We can obtain read group sets via a search_read_group_sets request. Observe that this request takes as it's main parameter dataset_id, which was obtained using the example in 1kg_metadata_service using a search_datasets request.
End of explanation
read_group_set = c.get_read_group_set(read_group_set_id="WyIxa2dlbm9tZXMiLCJyZ3MiLCJOQTE5Njc4Il0")
print "Read Group Set: {}".format(read_group_set.name)
print "id: {}".format(read_group_set.id)
print "dataset_id: {}".format(read_group_set.dataset_id)
print "Aligned Read Count: {}".format(read_group_set.stats.aligned_read_count)
print "Unaligned Read Count: {}\n".format(read_group_set.stats.unaligned_read_count)
for read_group in read_group_set.read_groups:
    print " Read Group: {}".format(read_group.name)
    print " id: {}".format(read_group.bio_sample_id)
    print " bio_sample_id: {}\n".format(read_group.bio_sample_id)
Explanation: Note: only a small subset of elements is being illustrated, the data returned by the servers is richer, that is, it contains other informational fields which may be of interest.
Get read group set
Similarly, we can obtain a specific Read Group Set by providing a specific identifier.
End of explanation
for read_group in read_group_set.read_groups:
    print "Alignment from {}\n".format(read_group.name)
    alignment = c.search_reads(read_group_ids=[read_group.id], start=0, end=1000000, reference_id="WyJOQ0JJMzciLCIxIl0").next()
    print " id: {}".format(alignment.id)
    print " fragment_name: {}".format(alignment.fragment_name)
    print " aligned_sequence: {}\n".format(alignment.aligned_sequence)
Explanation: Note, like in the previous example. Only a selected amount of parameters are selected for illustration, the data returned by the server is far richer, this format is only to have a more aesthetic presentation.
Search reads
This request returns reads were the read group set names we obtained above. The reference ID provided corresponds to chromosome 1 as obtained from the 1kg_reference_service examples. A search_reads request searches for read alignments in a region using start and end coordinates.
End of explanation
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