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L1000 LINCS DCIC ASG002 TC32 24H L17 estradiol-cypionate 1.11uM.tsv.gz (File)

Subject:

TC32

Subject (Entity type)
Project:

LINCS-2021

Project (Entity type)
Ncbi Taxonomy:

Homo sapiens

Taxonomy (Entity type)
File Format:

TSV

File Format (Entity type)
Disease:

rhabdomyosarcoma

Disease (Entity type)
Dcc Asset:

datapackage.zip

Processed File (Entity type)
Dcc:

LINCS

DCC (Entity type)
Data Type:

Gene expression profile

Data Type (Entity type)
Compression Format:

GZIP format

File Format (Entity type)
Biosample:

L1000 LINCS DCIC 2021 ASG002 TC32 24H L17 estradiol-cypionate 1.11uM

Biosample (Entity type)
Assay Type:

landmark transcript profiling assay

Assay Type (Entity type)
Anatomy:

bone tissue

Anatomy (Entity type)
Uncompressed Size In Bytes:191 KB
Size In Bytes:89.8 KB
Sha256:2e2fd4b32017b95f8aa270ac48dee8093c12e1471e1f55c614abb6dca2dcc7da
Mime Type:application/gzip
Md5:3274b33925ddb420ea68dc31156b7883
Filename:L1000_LINCS_DCIC_ASG002_TC32_24H_L17_estradiol-cypionate_1.11uM.tsv.gz
Creation Time:2021-01-21 00:00:00.000000
Access URL:
drs://drs.lincs-dcic.org/3274b33925ddb420ea68dc31156b7883
Workbench DRS:
drs://cfde.cloud/87c5b2bc-218a-58ef-9c8f-3bda8226dc03
Results found

Linked to

 

Label

Description

 

Subject

TC32

Subject (Entity type)

A subject produced as part of the LINCS project

Biosample

L1000 LINCS DCIC 2021 ASG002 TC32 24H L17 estradiol-cypionate 1.11uM

Biosample (Entity type)

A biosample from LINCS produced as part of the LINCS 2021 project

  • Subject

    TC32

    Subject (Entity type)

    A subject produced as part of the LINCS project

  • Biosample

    L1000 LINCS DCIC 2021 ASG002 TC32 24H L17 estradiol-cypionate 1.11uM

    Biosample (Entity type)

    A biosample from LINCS produced as part of the LINCS 2021 project

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    Workbench TutorialTraining & OutreachDocumentationGet QR CodesFunding Opportunities
    Resources
    Data & MetadataToolsChatbotUse CasesPublications
    CFDE Workbench
    Report a bug
    The CFDE Workbench is actively being developed and maintained by the CFDE Data Resource Center (DRC).The DRC is funded by OT2OD036435 from the Common Fund at the National Institutes of Health.
    @CFDE Workbench 2026
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