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ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Jagodinsky et al 2024 bulk RNA-seq counts

Authors: Jagodinsky, Justin C.; Vera, Jessica M.; Jin, Won Jong; Shea, Amanda G.; Clark, Paul A.; Sriramaneni, Raghava N.; Havighurst, Thomas C.; +9 Authors

Jagodinsky et al 2024 bulk RNA-seq counts

Abstract

On day 3 following BT, tumors were collected and tissue samples were taken from the high, moderate, and low dose regions. The samples were homogenized in Trizol reagent (ThermoFisher) using a Bead Ruptor Elite (OMNI). RNA was isolated using Qiagen’s RNeasy Mini Kit according to the manufacturer’s instructions. 1 µg of RNA was used for library preparation (Illumina) with UD indexing (Illumina) according to manufacturer’s instructions. The prepared libraries were sequenced on an Illumina NOVAseq 6000. Skewer was used to trim adapter sequences from reads and to remove low quality bases from read 3’ ends before aligning to GRCm38.p6 using STAR. RSEM was used to calculate expected gene counts from aligned reads. Principal component analysis and Pearson correlation between vectors of gene counts that belong to biological replicates was employed to detect outlier libraries. Any samples with inter-replicate Pearson correlation less than 0.9 or which did not cluster with replicates by PCA were dropped from downstream analyses.

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This is an alternative to the "Influence" indicator, which also 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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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.
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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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