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Carl Manaster

Publications and source records attributed to Carl Manaster.

4 recordsLinked to original sources
PubMed2006

SNPSplicer: systematic analysis of SNP-dependent splicing in genotyped cDNAs.

Functional annotation of SNPs (as generated by HapMap (http://www.hapmap.org) for instance) is a major challenge. SNPs that lead to single amino acid substitutions, stop codons, or frameshift mutations can be readily interpreted, but these represent only a fraction of known SNPs. Many SNPs are located in sequences of splicing relevance-the canonical splice site consensus sequences, exonic and intronic splice enhancers or silencers (exonic splice enhancer [ESE], intronic splice enhancer [ISE], exonic splicing silencer [ESS], and intronic splicing silencer [ISS]), and others. We propose using sets of matching DNA and complementary DNA (cDNA) as a screening method to investigate the potential splice effects of SNPs in RT-PCR experiments with tissue material from genotyped sources. We have developed a software solution (SNPSplicer; http://www.ikmb.uni-kiel.de/snpsplicer) that aids in the rapid interpretation of such screening experiments. The utility of the approach is illustrated for SNPs affecting the donor splice sites (rs2076530:A>G, rs3816989:G>A) leading to the use of a cryptic splice site and exon skipping, respectively, and an exonic splice enhancer SNP (rs2274987:C/T), leading to inclusion of a new exon. We anticipate that this methodology may help in the functional annotation of SNPs in a more high-throughput fashion.

Alternative Splicing↗
PubMed2005

InSNP: a tool for automated detection and visualization of SNPs and InDels.

Availability of high quality SNP data is a rate-limiting factor in understanding the impact of genetic variability on gene function and phenotype. Although global projects like HAPMAP generate large numbers of SNPs in an even spacing throughout the human genome, many variation studies have a more focused approach: in the follow-up of positional association findings, candidate gene studies, and functional genomics experiments, knowledge of all variations in a limited amount of sequence (e.g., a gene) is needed. This leads to a large number of resequencing experiments, for which there is a surprising lack of analysis software. We have thus developed specialized software (InSNP) for targeted mutation detection and compared its performance to Polyphred and Mutation Surveyor using 28 amplicons. Out of a total of 579 (InSNP), 644 (Polyphred), and 526 (Mutation Surveyor) SNP predictions, 39 SNPs were confirmed by human expert inspection, with five SNPs missed by Polyphred and one missed by InSNP using the default settings. For InDel detection, out of 70 (InSNP), 28 (Polyphred), and 693 (Mutation Surveyor) InDel predictions, two InDels were confirmed by human expert inspection, with one InDel missed by Polyphred. InSNP provides a user-friendly interface with better functionality for mutation detection than general-purpose sequence handling software. It provides similar SNP detection sensitivity and specificity as the public domain and commercial alternatives in the investigated dataset. We hope that InSNP lowers the barriers to the use of automated mutation detection software and aids in the improvement of the efficiency of such experiments. The Windows installer (setup) program and sample datasets are available at www.mucosa.de/insnp/.

Algorithms↗