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endogenousAlignments genome Aligned.out.bam.CIGARstats.txt (File)

Taxon:

Homo sapiens

Taxon (Entity type)
Subject:

EXR-LLAUR1AFSRR1DO8-DO

Subject (Entity type)
Project:

EXR-LLAUR1AFSRR1-ST

Project (Entity type)
File Format:

TSV

File Format (Entity type)
Dcc Asset:

exRNA CFDE 102025.zip

Processed File (Entity type)
Dcc:

ExRNA

DCC (Entity type)
Data Type:

Matrix

Data Type (Entity type)
Collection:

EXR-LLAUR1kpNHo3-AN

Collection (Entity type)
Biosample:

EXR-LLAUR1AFSRR1BS30-BS

Biosample (Entity type)
Assay Type:

small RNA sequencing assay

Assay Type (Entity type)
Anatomy:

oral cavity

Anatomy (Entity type)
Analysis Type:

sequence assembly process

Analysis Type (Entity type)
Uncompressed Size In Bytes:1.78 KB
Sha256:b753cc731fe3a09b7867f1531e35fe10e46a572a4df1c43b35890960003c0f4d
Mime Type:text/plain
Filename:endogenousAlignments_genome_Aligned.out.bam.CIGARstats.txt
Creation Time:2023-07-20T00:00:00
Results found

Linked to

 

Label

Description

 

Biosample

EXR-LLAUR1AFSRR1BS30-BS

Biosample (Entity type)

A biosample from ExRNA produced as part of the EXR LLAUR1AFSRR1 ST project

Collection

EXR-LLAUR1kpNHo3-AN

Collection (Entity type)

Analysis Entry

Subject

EXR-LLAUR1AFSRR1DO8-DO

Subject (Entity type)

A subject from ExRNA produced as part of the exRNA Atlas project

  • Biosample

    EXR-LLAUR1AFSRR1BS30-BS

    Biosample (Entity type)

    A biosample from ExRNA produced as part of the EXR LLAUR1AFSRR1 ST project

  • Collection

    EXR-LLAUR1kpNHo3-AN

    Collection (Entity type)

    Analysis Entry

  • Subject

    EXR-LLAUR1AFSRR1DO8-DO

    Subject (Entity type)

    A subject from ExRNA produced as part of the exRNA Atlas 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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