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ReseqChip: automated integration of multiple local context probe data from the MitoChip array in mitochondrial DNA sequence assembly
Thieme, Marian, Lottaz, Claudio, Niederstätter, Harald, Parson, Walther, Spang, Rainer and Oefner, Peter J.
(2009)
ReseqChip: automated integration of multiple local context probe data from the MitoChip array in mitochondrial DNA sequence assembly.
BMC bioinformatics 10, p. 440.
Date of publication of this fulltext: 18 Aug 2014 09:47
Article
DOI to cite this document: 10.5283/epub.30662
Abstract
Background: The Affymetrix MitoChip v2.0 is an oligonucleotide tiling array for the resequencing of the human mitochondrial (mt) genome. For each of 16,569 nucleotide positions of the mt genome it holds two sets of four 25-mer probes each that match the heavy and the light strand of a reference mt genome and vary only at their central position to interrogate all four possible alleles. In ...
Background: The Affymetrix MitoChip v2.0 is an oligonucleotide tiling array for the resequencing of the human mitochondrial (mt) genome. For each of 16,569 nucleotide positions of the mt genome it holds two sets of four 25-mer probes each that match the heavy and the light strand of a reference mt genome and vary only at their central position to interrogate all four possible alleles. In addition, the MitoChip v2.0 carries alternative local context probes to account for known mtDNA variants. These probes have been neglected in most studies due to the lack of software for their automated analysis. Results: We provide ReseqChip, a free software that automates the process of resequencing mtDNA using multiple local context probes on the MitoChip v2.0. ReseqChip significantly improves base call rate and sequence accuracy. ReseqChip is available at http://code.open-bio.org/svnweb/index.cgi/bioperl/browse/bioperl-live/trunk/Bio/Microarray/Tools/. Conclusions: ReseqChip allows for the automated consolidation of base calls from alternative local mt genome context probes. It thereby improves the accuracy of resequencing, while reducing the number of non-called bases.
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| Item type | Article | ||||||||||||||
| Journal or Publication Title | BMC bioinformatics | ||||||||||||||
| Publisher: | BIOMED CENTRAL LTD | ||||||||||||||
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| Place of Publication: | LONDON | ||||||||||||||
| Volume: | 10 | ||||||||||||||
| Page Range: | p. 440 | ||||||||||||||
| Date | December 2009 | ||||||||||||||
| Institutions | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner) Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) Informatics and Data Science > Department Computational Life Science > Lehrstuhl für Statistische Bioinformatik (Prof. Spang) | ||||||||||||||
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| Keywords | MUTATIONS; MICROARRAY; GENOME; CANCER; HEAD; NECK; | ||||||||||||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||||||||||||
| Status | Published | ||||||||||||||
| Refereed | Yes, this version has been refereed | ||||||||||||||
| Created at the University of Regensburg | Partially | ||||||||||||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-306621 | ||||||||||||||
| Item ID | 30662 |
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