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AutoCSA, an algorithm for high throughput DNA sequence variant detection in cancer genomes

E. Dicks, J. W. Teague, P. Stephens, K. Raine, A. Yates, C. Mattocks, P. Tarpey, A. Butler, A. Menzies, D. Richardson, A. Jenkinson, H. Davies (+8 others)
2007 Computer applications in the biosciences : CABIOS  
To address these issues, we have developed a mutation detection algorithm, AutoCSA, specifically optimized for the high throughput screening of cancer samples.  ...  The undertaking of large-scale DNA sequencing screens for somatic variants in human cancers requires accurate and rapid processing of traces for variants.  ...  Acknowledgements The authors would like to thank the Wellcome Trust for funding the Cancer Genome Project.  ... 
doi:10.1093/bioinformatics/btm152 pmid:17485433 pmcid:PMC5947781 fatcat:5pjekgypabckvg22yqrpszd7ve


Atabak Kheirkhah, Salwani Mohd Daud, Noor Azurati Ahmad @ Salleh, Suriani Mohd Sam, Hafiza Abas, Sya Azmeela Shariff, Yusnaidi Md Yusof
2016 Jurnal Teknologi  
This paper intends to review computational methods and high throughput automated tools for precisely prediction various functionalities of uncharacterized proteins based on their desired DNA sequence information  ...  The gap between DNA sequence variants and their functionalities has become increasingly large. However, detection of sequences based on protein data bank has become benchmark for many researchers.  ...  Acknowledgement We would like to express our gratitude to Ministry of Higher Education (MOHE Malaysia) for providing financial support (research grant R.K130000.7838.4F357) in conducting our study.  ... 
doi:10.11113/jt.v78.8967 fatcat:kxa42zhx75hwdamfg2tab4vznq