Publications by authors named "Henrik Stengaard"

Motivation: Single nucleotide polymorphisms (SNPs) analysis is an important means to study genetic variation. A fast and cost-efficient approach to identify large numbers of novel candidates is the SNP mining of large scale sequencing projects. The increasing availability of sequence trace data in public repositories makes it feasible to evaluate SNP predictions on the DNA chromatogram level.

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SEPON, Selection and Evaluation Pipeline for OligoNucleotide generates n-mer oligonucleotide sequences from expressed sequence tags of non-annotated genomes for microarray gene-expression profiling. A non-target melting temperature (T(m)) algorithm will reduce cross-hybridization by estimating T(m) of oligonucleotide hybridization to non-specific targets (non-target T(m)) and discard oligonucleotides with non-target T(m) estimate above user-defined threshold. SEPON allows user-defined filtering, predicts exon location, assigns penalty based on 3' distance, GC content, secondary structure T(m) and non-target T(m) and ranks oligonucleotides for optimal selection.

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