FreClu statistics

info info

Citations per year

Number of citations per year for the bioinformatics software tool FreClu
info

Tool usage distribution map

info info

Associated diseases

info

Popular tool citations

chevron_left Adapter trimming chevron_right
Want to access the full stats & trends on this tool?

FreClu specifications

Information


Unique identifier OMICS_01048
Name FreClu
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Documentation


Maintainer


  • person_outline Shinichi Morishita

Publication for FreClu

FreClu citations

 (2)
library_books

Identification of functional cis regulatory elements by sequential enrichment from a randomized synthetic DNA library

2013
BMC Plant Biol
PMCID: 3923269
PMID: 24138055
DOI: 10.1186/1471-2229-13-164

[…] 3%; Samples 4–8, Table ). This reduction in complexity is consistent with enrichment for selective SynEs during ChIP.To further reduce complexity, we performed a clustering analysis using the program FreClu []. This analysis revealed that the library samples consisted of a large number of individual sequences, which could not be clustered. In contrast, the ChIP samples showed clustering above 40% […]

library_books

MicroRNA mediated gene regulation plays a minor role in the transcriptomic plasticity of cold acclimated Zebrafish brain tissue

2011
BMC Genomics
PMCID: 3258298
PMID: 22168751
DOI: 10.1186/1471-2164-12-605

[…] cloning and sequencing methods.Solexa sequencing are known for its short reads, and errors can be pervasive in short-read sequencing []. To address this concern, we clustered the raw reads using the FreClu software [], which takes the read count into consideration. The results showed that this clustering process can improve the accuracy of short reads mapping (Table ). However, it did not improve […]


Want to access the full list of citations?
FreClu institution(s)
Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan; Department of Molecular Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Bioinformatics Research and Development (BIRD), Japan Science and Technology Agency (JST), Tokyo, Japan
FreClu funding source(s)
This work was supported in part by a Grant-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and by a grant for Bioinformatics Research and Development (BIRD) from the Japan Science and Technology Agency (JST).

FreClu reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review FreClu