CoCiter statistics

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Citations per year

Number of citations per year for the bioinformatics software tool CoCiter
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Tool usage distribution map

This map represents all the scientific publications referring to CoCiter per scientific context
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CoCiter specifications

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Unique identifier OMICS_16312
Name CoCiter
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 2.4
Stability No
Maintained No

Maintainer


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Publication for CoCiter

CoCiter citations

 (3)
library_books

Recently Evolved Tumor Suppressor Transcript TP73 AS1 Functions as Sponge of Human Specific miR 941

2018
Mol Biol Evol
PMCID: 5913670
PMID: 29474580
DOI: 10.1093/molbev/msy022

[…] r network construction. The network module was identified using CFinder () requiring clique numbers of >2. The association between network module genes and cell migration function was estimated using Cociter with the term “cell migration” with P-value cutoff 0.01. […]

library_books

Partial depletion of yolk during zebrafish embryogenesis changes the dynamics of methionine cycle and metabolic genes

2015
BMC Genomics
PMCID: 4455928
PMID: 26040990
DOI: 10.1186/s12864-015-1654-6

[…] Co-citation enrichments are useful to reveal associations between large gene sets and diseases. We applied the CoCiter tool [] to look for associations between DE genes and “hypertension”, “obesity”, “type 2 diabetes” and “osteoporosis”, i.e. metabolic diseases of which the susceptibility is increased after ea […]

library_books

Deep sequencing reveals a novel class of bidirectional promoters associated with neuronal genes

2014
BMC Genomics
PMCID: 4094773
PMID: 24916849
DOI: 10.1186/1471-2164-15-457

[…] was estimated by dinucleotide shuffle of NBiP sequences. Specifically, NBiP sequences were subjected to dinucleotide shuffle 1,000 times and the MATCH algorithm was applied to the shuffled sequences. CoCiter [] was used to check the significance of association between transcription factors enriched in NBiP and KBiP, with the terms “neuron” and “neural”, respectively. […]


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CoCiter funding source(s)
This project was funded by grants from the National Natural Science Foundation of China (NSFC; grants 31210103916 and 91019019), Chinese Ministry of Science and Technology (grant 2011CB504206), Chinese Academy of Sciences (CAS; grants KSCX2-EW-R-02 and KSCX2-EW-J-15 and YZ201243), Stem Cell Leading Project (XDA01010303) and Shanghai Academic Leader Project (11XD1405700).

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