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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-329497
- DOI to cite this document:
- 10.5283/epub.32949
Abstract
Among the largest resources for biological sequence data is the large amount of expressed sequence tags (ESTs) available in public and proprietary databases. ESTs provide information on transcripts but for technical reasons they often contain sequencing errors. Therefore, when analyzing EST sequences computationally, such errors must be taken into account. Earlier attempts to model error prone ...

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