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L1000 LINCS DCIC ASG002 BICR6 24H H17 erlotinib 1.11uM.tsv.gz (File)

Subject:

BICR6

Subject (Entity type)
Project:

LINCS-2021

Project (Entity type)
Ncbi Taxonomy:

Homo sapiens

Taxonomy (Entity type)
File Format:

TSV

File Format (Entity type)
Disease:

carcinoma

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 BICR6 24H H17 erlotinib 1.11uM

Biosample (Entity type)
Assay Type:

landmark transcript profiling assay

Assay Type (Entity type)
Anatomy:

esophagus

Anatomy (Entity type)
Uncompressed Size In Bytes:180 KB
Size In Bytes:84.6 KB
Sha256:0b1d507e19310f8e52a9f89546ba2a0d84fca44fb79704bbd1e81f5bf8df4bdf
Mime Type:application/gzip
Md5:a19a524240f8000b2de0654dd47abb1a
Filename:L1000_LINCS_DCIC_ASG002_BICR6_24H_H17_erlotinib_1.11uM.tsv.gz
Creation Time:2021-01-21 00:00:00.000000
Access URL:
drs://drs.lincs-dcic.org/a19a524240f8000b2de0654dd47abb1a
Workbench DRS:
drs://cfde.cloud/040cc51e-53f9-5660-b3a2-b19840e3ffd9
Results found

Linked to

 

Label

Description

 

Subject

BICR6

Subject (Entity type)

A subject produced as part of the LINCS project

Biosample

L1000 LINCS DCIC 2021 ASG002 BICR6 24H H17 erlotinib 1.11uM

Biosample (Entity type)

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

  • Subject

    BICR6

    Subject (Entity type)

    A subject produced as part of the LINCS project

  • Biosample

    L1000 LINCS DCIC 2021 ASG002 BICR6 24H H17 erlotinib 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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