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» A Methodology for Comparative Functional Genomics
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RECOMB
2005
Springer
15 years 10 months ago
Individual Gene Cluster Statistics in Noisy Maps
Abstract. Identification of homologous chromosomal regions is important for understanding evolutionary processes that shape genome evolution, such as genome rearrangements and larg...
Narayanan Raghupathy, Dannie Durand
BMCBI
2007
104views more  BMCBI 2007»
14 years 9 months ago
Identification of putative regulatory upstream ORFs in the yeast genome using heuristics and evolutionary conservation
Background: The translational efficiency of an mRNA can be modulated by upstream open reading frames (uORFs) present in certain genes. A uORF can attenuate translation of the main...
Marija Cvijovic, Daniel Dalevi, Elizabeth Bilsland...
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
15 years 2 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
CIVR
2007
Springer
149views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Video copy detection: a comparative study
This paper presents a comparative study of methods for video copy detection. Different state-of-the-art techniques, using various kinds of descriptors and voting functions, are d...
Julien Law-To, Li Chen, Alexis Joly, Ivan Laptev, ...
WABI
2001
Springer
138views Bioinformatics» more  WABI 2001»
15 years 2 months ago
Algorithms for Finding Gene Clusters
Abstract. Comparing gene orders in completely sequenced genomes is a standard approach to locate clusters of functionally associated genes. Often, gene orders are modeled as permut...
Steffen Heber, Jens Stoye