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137
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BMCBI
2010
133views more  BMCBI 2010»
15 years 3 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
139
Voted
BMCBI
2006
86views more  BMCBI 2006»
15 years 3 months ago
MCALIGN2: Faster, accurate global pairwise alignment of non-coding DNA sequences based on explicit models of indel evolution
Background: Non-coding DNA sequences comprise a very large proportion of the total genomic content of mammals, most other vertebrates, many invertebrates, and most plants. Unravel...
Jun Wang, Peter D. Keightley, Toby Johnson
BMCBI
2008
140views more  BMCBI 2008»
15 years 3 months ago
FUNYBASE: a FUNgal phYlogenomic dataBASE
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
Sylvain Marthey, Gabriela Aguileta, Françoi...
145
Voted
BMCBI
2008
101views more  BMCBI 2008»
15 years 3 months ago
Scipio: Using protein sequences to determine the precise exon/intron structures of genes and their orthologs in closely related
Background: For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is ava...
Oliver Keller, Florian Odronitz, Mario Stanke, Mar...
132
Voted
ENGL
2007
180views more  ENGL 2007»
15 years 3 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar