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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Raw Counts: A protocol for low-input RNA-sequencing of patients with febrile neutropenia captures relevant immunological information

Authors: Probst, Victoria;

Raw Counts: A protocol for low-input RNA-sequencing of patients with febrile neutropenia captures relevant immunological information

Abstract

Raw counts for scientific article: "A protocol for low-input RNA-sequencing of patients with febrile neutropenia captures relevant immunological information" Victoria Probst*1, Lotte Møller Smedegaard*2, Arman Simonyan1, Yuliu Guo1, Olga Østrup1, Kia Hee Schultz Dungu2, Nadja Hawwa Vissing2, Ulrikka Nygaard2 and Frederik Otzen Bagger1 *Shared first authorship Data description: The raw counts are from 88 samples of 22 patients with leukaemia and suspected infection sequenced by a low-input protocol (Takara SMART-seq HT) (96% succeeded) and 15 of these were also processed by the standard protocol (Truseq). CLI.CSV: Raw counts of control samples processed using a low input RNA sequencing protocol. 15 samples processed by the low-input protocol. CRNA.CSV: Raw counts of control samples processed using a standard RNA sequencing protocol. 15 samples processed by the standard protocol. FEB.CSV: Raw gene counts from patients. 88 samples processed by the low input protocol. 4 samples failed sequencing.

Keywords

RNA signature, febrile neutropenia, children with cancer, low input RNA sequencing, diagnostics, RNA-seq, cancer,, clinical diagnostics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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