Searching for authors named "Jeremy Buhler" – sorted by Relevance.
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Efficient Large-Scale Sequence Comparison by Locality-Sensitive Hashing
- Efficient Large-Scale Sequence Comparison by Locality-Sensitive Hashing Jeremy Buhler Department
- Cited by 45 (6 self) – Add To MetaCart
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Finding motifs using random projections
- planted (15,4)-motif in Ø � sequences each of length Ò � � . These values of Ò, Ø, andÐ are Jeremy Buhler
- Cited by 137 (5 self) – Add To MetaCart
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Search Algorithms for Biosequences Using Random Projection
- Search Algorithms for Biosequences Using Random Projection Jeremy Buhler A dissertation submitted
- Cited by 9 (2 self) – Add To MetaCart
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Selecting Degenerate Multiplex PCR Primers
- Buhler ¡£¢ ¤ Gary Stormo ¤¥¢ ¡ ¤¦¢ ¡£¢ §¨§©§ and Weixiong Zhang � Department of Computer Science
- Cited by 5 (0 self) – Add To MetaCart
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Dapple: Improved techniques for finding spots on DNA microarrays
- Dapple: Improved Techniques for Finding Spots on DNA Microarrays Jeremy Buhler Computer Science
- Cited by 19 (0 self) – Add To MetaCart
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Designing seeds for similarity search in genomic dna
- Designing Seeds for Similarity Search in Genomic DNA Jeremy Buhler ∗† (jbuhler@(email omitted);) Uri
- Cited by 50 (2 self) – Add To MetaCart
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Acceleration of Ungapped Extension in Mercury BLAST, 7th workshop on media and streaming processors
- Acceleration of Ungapped Extension in Mercury BLAST Joseph Lancaster Jeremy Buhler Roger
- Cited by 1 (0 self) – Add To MetaCart
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Lecture 6 The EM Algorithm, Mixture Models, and Motif Discovery
- M. Karp Notes: Jeremy Buhler In a previous class, we discussed an algorithm for learning a
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Biosequence similarity search on the Mercury system
- Biosequence Similarity Search on the Mercury System Praveen Krishnamurthy, Jeremy Buhler, Roger
- Cited by 9 (6 self) – Add To MetaCart
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Lecture 16 Phylogeny, II: Compatibility and Maximum Likelihood — DRAFT
- : J. Felsenstein Notes: Jeremy Buhler There are many ways to formalize the problem of inferring a
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