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SAC
2010
ACM
15 years 1 days ago
FANGS: high speed sequence mapping for next generation sequencers
Next Generation Sequencing machines are generating millions of short DNA sequences (reads) everyday. There is a need for efficient algorithms to map these sequences to the referen...
Sanchit Misra, Ramanathan Narayanan, Simon Lin, Al...
FTDB
2008
82views more  FTDB 2008»
14 years 12 months ago
Information Extraction
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and analyzing data by drawing upon the clean semantics of str...
Sunita Sarawagi
TLT
2008
93views more  TLT 2008»
14 years 11 months ago
What Do You Prefer? Using Preferences to Enhance Learning Technology
While the growing number of learning resources increases the choice for learners on how, what and when to learn, it also makes it more and more difficult to find the learning resou...
Philipp Kärger, Daniel Olmedilla, Fabian Abel...
VLDB
2002
ACM
151views Database» more  VLDB 2002»
14 years 11 months ago
Preference SQL - Design, Implementation, Experiences
Current search engines can hardly cope adequately with fuzzy predicates defined by complex preferences. The biggest problem of search engines implemented with standard SQL is that...
Werner Kießling, Gerhard Köstler
IPPS
2010
IEEE
14 years 9 months ago
pFANGS: Parallel high speed sequence mapping for Next Generation 454-roche Sequencing reads
Millions of DNA sequences (reads) are generated by Next Generation Sequencing machines everyday. There is a need for high performance algorithms to map these sequences to the refer...
Sanchit Misra, Ramanathan Narayanan, Wei-keng Liao...