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Software . 2022
Data sources: Datacite
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Software . 2022
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Software . 2022
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Agleason1/Alternative-TICs-Implicated-in-Cancers: Analysis of Alternative TICs Implicated in Cancers

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Aug 2022Publisher:Zenodo
Authors: Agleason1;

doi: 10.5281/zenodo.6987364 , 10.5281/zenodo.6987363

Agleason1/Alternative-TICs-Implicated-in-Cancers: Analysis of Alternative TICs Implicated in Cancers

Abstract

This is the code behind the publication "Kozak Similarity Score algorithm identifies alternative translation initiation codons implicated in cancers." It contains the analysis of upstream noncanonical TICs that induce oncogenic proteins, driving tumor formation.

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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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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Cancer Research