:: DESCRIPTION
boostKCP is a simple but powerful heuristic method for accelerating k-means clustering of large-scale data in life science.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Ichikawa K, Morishita S.
A Simple but Powerful Heuristic Method for Accelerating k-Means Clustering of Large-Scale Data in Life Science.
IEEE/ACM Trans Comput Biol Bioinform. 2014 Jul-Aug;11(4):681-92. doi: 10.1109/TCBB.2014.2306200. PMID: 26356339.
:: DESCRIPTION
TAGOOS (TAG SNP bOOSting) is a nucleotide scoring tool for non-coding (Intronic and intergenic) regions.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation:
González A, Artufel M, Rihet P.
TAGOOS: genome-wide supervised learning of non-coding loci associated to complex phenotypes.
Nucleic Acids Res. 2019 Aug 22;47(14):e79. doi: 10.1093/nar/gkz320. PMID: 31045203; PMCID: PMC6698643.
:: DESCRIPTION
GWAB (genome-wide Association Boosting) is a web server for the network-based boosting of human GWAS data.
::DEVELOPER
Network Biomedicine Laboratory at Yonsei University, Korea
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Nucleic Acids Res. 2017 Jul 3;45(W1):W154-W161. doi: 10.1093/nar/gkx284.
GWAB: a web server for the network-based boosting of human genome-wide association data.
Shim JE, Bang C, Yang S, Lee T, Hwang S, Kim CY, Singh-Blom UM, Marcotte EM, Lee I.
:: DESCRIPTION
CoreBoost is a program for predicting the location of transcription start sites for human polymerase II promoters. It is based on two classifiers, one for CpG related promoters and the other for non-CpG related promoters. Both classifiers apply boosting techniques with stumps and select important small scale as well as large scale sequence features such as position specific core promoter elements and the flexibility of promoter sequences. The current version has more than 30% sensitivity and positive predictive value at 50 bp resolution.
CoreBoost_HMis a program for predicting the location of human polymerase II (Pol II) core-promoters. It is developed based on human Pol II core-promoter predictor CoreBoost by integrating specific histone modification profiles and the DNA sequence features together. Same as Coreboost, CoreBoost_HM is based on two classifiers, one for CpG related promoters and the other for non-CpG related promoters. Both classifiers apply boosting techniques with stumps and select important sequence features and histone modification features. Our analysis suggested that integrating histone modification profiles can provide much higher sensitivity, specificity and high resolution for human core-promoter prediction.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Boosting with stumps for predicting transcription start sites.
Zhao X, Xuan Z, Zhang MQ.
Genome Biol. 2007;8(2):R17.
High-resolution human core-promoter prediction with CoreBoost_HM.
Wang X, Xuan Z, Zhao X, Li Y, Zhang MQ.
Genome Res. 2009 Feb;19(2):266-75. Epub 2008 Nov 7.
