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ZENODO
Dataset . 2017
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 . 2017
Data sources: ZENODO
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The Github Repository For An Integrative Analysis Of Genomic Plasticity In The Hippocampus

Authors: Harris, Rayna; Kao, Hsin-Yi; Alarcon, Juan Marcos; Hofmann, Hans; Fenton, Andre;

The Github Repository For An Integrative Analysis Of Genomic Plasticity In The Hippocampus

Abstract

Cost-effective next-generation sequencing has made unbiased gene expression investigations possible. Gene expression studies at the level of single neurons may be especially important for understanding nervous system structure and function because of neuron-specific functionality and plasticity. While cellular dissociation is a prerequisite technical manipulation for such single-cell studies, the extent to which the process of dissociating cells affects neural gene expression has not been determined. Here, we examine the effect of cellular dissociation on gene expression in the mouse hippocampus. We also determine to which extent such changes might confound studies on the behavioral and physiological functions of hippocampus. This dataset contains the data, software, and results the accompany a manuscript that is in the process of submission to the journal Hippocampus.

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Keywords

neuroscience, transcriptomics, genomics, bioinformatics, data science, reproducible research

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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