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ExogenousRibosomalAlignments.result.taxaAnnotated.txt (File)

Taxon:

Homo sapiens

Taxon (Entity type)
Subject:

EXR-KJENS1DO3216-DO

Subject (Entity type)
Project:

EXR-KJENS1MJFPDD-ST

Project (Entity type)
File Format:

TSV

File Format (Entity type)
Disease:

Lewy body dementia

Disease (Entity type)
Dcc Asset:

exRNA CFDE 102025.zip

Processed File (Entity type)
Dcc:

ExRNA

DCC (Entity type)
Data Type:

Report

Data Type (Entity type)
Collection:

EXR-KJENS1yrpQwk-AN

Collection (Entity type)
Biosample:

EXR-KJENS13216MV-BS

Biosample (Entity type)
Assay Type:

small RNA sequencing assay

Assay Type (Entity type)
Anatomy:

blood plasma

Anatomy (Entity type)
Analysis Type:

sequence assembly process

Analysis Type (Entity type)
Uncompressed Size In Bytes:61.2 KB
Sha256:7849bc81465a070549132370f66c18f441b7676e857069f4cece3084050b52e5
Mime Type:text/plain
Filename:ExogenousRibosomalAlignments.result.taxaAnnotated.txt
Creation Time:2018-05-22T00:00:00
Results found

Linked to

 

Label

Description

 

Subject

EXR-KJENS1DO3216-DO

Subject (Entity type)

A subject produced as part of the exRNA Atlas project

Biosample

EXR-KJENS13216MV-BS

Biosample (Entity type)

A biosample from ExRNA produced as part of the EXR KJENS1MJFPDD ST project

Disease

Lewy body dementia

Disease (Entity type)

A dementia that is characterized by the development of abnormal proteinaceous (alpha-synuclein) cyto...

  • Subject

    EXR-KJENS1DO3216-DO

    Subject (Entity type)

    A subject produced as part of the exRNA Atlas project

  • Biosample

    EXR-KJENS13216MV-BS

    Biosample (Entity type)

    A biosample from ExRNA produced as part of the EXR KJENS1MJFPDD ST project

  • Disease

    Lewy body dementia

    Disease (Entity type)

    A dementia that is characterized by the development of abnormal proteinaceous (alpha-synuclein) cyto...

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    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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