Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
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* Corresponding authors: Richard J Dobson r.j.dobson@qmul.ac.uk - Mansoor AS Saqi m.saqi@qmul.ac.uk
BMC Bioinformatics 2006, 7:217 doi:10.1186/1471-2105-7-217
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Method
Predicting the effects of frameshifting indels Jing Hu, Pauline C Ng Genome Biology 2012, 13:R9 (9 February 2012) SIFT Indel is a method for predicting the effects of frameshifting indels in coding regions
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Research
Improving the prediction of disease-related variants using protein three-dimensional structure Emidio Capriotti, Russ B Altman BMC Bioinformatics 2011, 12(Suppl 4):S3 (5 July 2011) |
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Research
Investigation on the role of nsSNPs in HNPCC genes – a bioinformatics approach C George Doss, Rao Sethumadhavan Journal of Biomedical Science 2009, 16:42 (24 April 2009) |
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Research
In silico regulatory analysis for exploring human disease progression Dustin T Holloway, Mark Kon, Charles DeLisi Biology Direct 2008, 3:24 (18 June 2008) Machine learning methods are employed to predict targets of transcription factors in the human genome and further provide possible insights on Wt1 and its role in Wilms Tumor.
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Software
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua Zhang, Yunliu Fan BMC Bioinformatics 2007, 8:450 (16 November 2007) |