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Items: 1 to 20 of 111

1.

Using bioinformatics to predict the functional impact of SNVs.

Cline MS, Karchin R.

Bioinformatics. 2011 Feb 15;27(4):441-8. doi: 10.1093/bioinformatics/btq695. Epub 2010 Dec 15. Review.

2.

EFIN: predicting the functional impact of nonsynonymous single nucleotide polymorphisms in human genome.

Zeng S, Yang J, Chung BH, Lau YL, Yang W.

BMC Genomics. 2014 Jun 10;15:455. doi: 10.1186/1471-2164-15-455.

3.

Bioinformatic tools for identifying disease gene and SNP candidates.

Mooney SD, Krishnan VG, Evani US.

Methods Mol Biol. 2010;628:307-19. doi: 10.1007/978-1-60327-367-1_17. Review.

4.

Automatic discovery of cross-family sequence features associated with protein function.

Brameier M, Haan J, Krings A, MacCallum RM.

BMC Bioinformatics. 2006 Jan 12;7:16.

5.

PhosphoPICK-SNP: quantifying the effect of amino acid variants on protein phosphorylation.

Patrick R, Kobe B, Lê Cao KA, Bodén M.

Bioinformatics. 2017 Jun 15;33(12):1773-1781. doi: 10.1093/bioinformatics/btx072.

PMID:
28186228
6.

Bioinformatics tools for single nucleotide polymorphism discovery and analysis.

Clifford RJ, Edmonson MN, Nguyen C, Scherpbier T, Hu Y, Buetow KH.

Ann N Y Acad Sci. 2004 May;1020:101-9. Review.

PMID:
15208187
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9.

Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis.

Masso M, Vaisman II.

Bioinformatics. 2008 Sep 15;24(18):2002-9. doi: 10.1093/bioinformatics/btn353. Epub 2008 Jul 16.

PMID:
18632749
10.

Mutagenesis Objective Search and Selection Tool (MOSST): an algorithm to predict structure-function related mutations in proteins.

Olivera-Nappa A, Andrews BA, Asenjo JA.

BMC Bioinformatics. 2011 Apr 27;12:122. doi: 10.1186/1471-2105-12-122.

11.

A structural bioinformatics approach to the analysis of nonsynonymous single nucleotide polymorphisms (nsSNPs) and their relation to disease.

Worth CL, Bickerton GR, Schreyer A, Forman JR, Cheng TM, Lee S, Gong S, Burke DF, Blundell TL.

J Bioinform Comput Biol. 2007 Dec;5(6):1297-318.

PMID:
18172930
12.

Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers.

Barenboim M, Masso M, Vaisman II, Jamison DC.

Proteins. 2008 Jun;71(4):1930-9. doi: 10.1002/prot.21838.

PMID:
18186470
13.

Identification of clustered microRNAs using an ab initio prediction method.

Sewer A, Paul N, Landgraf P, Aravin A, Pfeffer S, Brownstein MJ, Tuschl T, van Nimwegen E, Zavolan M.

BMC Bioinformatics. 2005 Nov 7;6:267.

14.

Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.

Ding J, Bashashati A, Roth A, Oloumi A, Tse K, Zeng T, Haffari G, Hirst M, Marra MA, Condon A, Aparicio S, Shah SP.

Bioinformatics. 2012 Jan 15;28(2):167-75. doi: 10.1093/bioinformatics/btr629. Epub 2011 Nov 13.

15.

Sequence-based protein superfamily classification using computational intelligence techniques: a review.

Vipsita S, Rath SK.

Int J Data Min Bioinform. 2015;11(4):424-57. Review.

PMID:
26336668
16.

Analysis of molecular recognition features (MoRFs).

Mohan A, Oldfield CJ, Radivojac P, Vacic V, Cortese MS, Dunker AK, Uversky VN.

J Mol Biol. 2006 Oct 6;362(5):1043-59. Epub 2006 Aug 4.

PMID:
16935303
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18.

Prediction of protein-RNA binding sites by a random forest method with combined features.

Liu ZP, Wu LY, Wang Y, Zhang XS, Chen L.

Bioinformatics. 2010 Jul 1;26(13):1616-22. doi: 10.1093/bioinformatics/btq253. Epub 2010 May 18.

PMID:
20483814
19.

Web-based resources for clinical bioinformatics.

Joshua AM, Boutros PC.

Methods Mol Med. 2008;141:309-29. Review.

PMID:
18453097
20.

A survey on evolutionary algorithm based hybrid intelligence in bioinformatics.

Li S, Kang L, Zhao XM.

Biomed Res Int. 2014;2014:362738. doi: 10.1155/2014/362738. Epub 2014 Mar 6. Review.

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