コード例 #1
0
 def bind_metadata(self):
     return WorkflowMetadata(
         contributors=["Michael Franklin", "Jiaan Yu"],
         dateCreated=datetime(2019, 6, 12),
         dateUpdated=datetime(2020, 7, 14),
         documentation="",
     )
コード例 #2
0
 def bind_metadata(self):
     return WorkflowMetadata(
         version="v0.1.0",
         contributors=["Jiaan Yu"],
         dateCreated=datetime(2020, 6, 4),
         dateUpdated=datetime(2020, 8, 10),
     )
コード例 #3
0
 def bind_metadata(self):
     return WorkflowMetadata(
         version="v0.1.0",
         contributors=["Jiaan Yu"],
         dateCreated=date(2021, 2, 25),
         dateUpdated=date(2021, 2, 25),
     )
コード例 #4
0
 def bind_metadata(self):
     return WorkflowMetadata(
         contributors=["Jiaan Yu", "Michael Franklin"],
         dateCreated=datetime(2019, 3, 28),
         dateUpdated=datetime(2021, 5, 27),
         documentation="",
     )
コード例 #5
0
 def bind_metadata(self):
     return WorkflowMetadata(
         contributors=["Michael Franklin"],
         dateCreated=datetime(2020, 9, 24),
         dateUpdated=datetime(2020, 10, 7),
         documentation="",
     )
コード例 #6
0
    def bind_metadata(self):
        from datetime import date

        return WorkflowMetadata(
            contributors=["Miriam M Yeung"],
            dateCreated=date(2021, 11, 10),
            dateUpdated=date(2021, 11, 10),
            documentation="",
        )
コード例 #7
0
    def bind_metadata(self):
        return WorkflowMetadata(
            institution="Oshlack and Peter MacCallum Cancer Centre",
            dateCreated=datetime(2020, 1, 1),
            contributors=[
                # Original
                "Rebecca Louise Evans",
                "Breon Schmidt",
                "Andrew Lonsdale",
                "Simon Sadedin",
                "Nadia Davidson",
                "Quarkins",
                "Jovana Maksimovic",
                "Alicia Oshlack",
                # Janis rewrite
                "Richard Lupat",
                "Jiaan Yu",
                "Michael Franklin",
            ],
            documentation="""
Clinical pipeline for detecting gene fusions in RNAseq data utilising JAFFA. The pipeline optionally calls a classifier 
for B-Cell Acute Lymphocytic Leukaemia (based on AllSorts). As well as variant calling pipeline using Picard,GATK and VEP.
            
A poster was also presented at ABACBS2018 noting the current status and future plans:

`Oncopipe ABACBS 2018 <https://atlassian.petermac.org.au/bitbucket/projects/OS/repos/oncopipe/browse/Oncopipe_ABACBS_v6.pdf>`_            
            
Original code example:

.. code-block: text

   bpipe run -r \
       -p name=SAMPLE_ID \
       -p out=OUTPUT_PATH \
       -p fastq=FASTQ_GZ_FILES \
       PATH_TO_THIS_DIR/pipeline/onco.pipe
            """,
        )
コード例 #8
0
ファイル: star.py プロジェクト: junyk/janis-bioinformatics
 def bind_metadata(self):
     return WorkflowMetadata(version="v0.1.0",
                             contributors=["Michael Franklin", "Jiaan Yu"])
コード例 #9
0
 def bind_metadata(self):
     return WorkflowMetadata(version="v0.1.0", contributors=["Jiaan Yu"])