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» MAP: Searching Large Genome Databases
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BMCBI
2010
133views more  BMCBI 2010»
13 years 7 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...
BMCBI
2008
125views more  BMCBI 2008»
13 years 7 months ago
Exploration and visualization of gene expression with neuroanatomy in the adult mouse brain
Background: Spatially mapped large scale gene expression databases enable quantitative comparison of data measurements across genes, anatomy, and phenotype. In most ongoing effort...
Christopher Lau, Lydia Ng, Carol Thompson, Sayan D...
IPPS
2005
IEEE
14 years 1 months ago
Comparison of Current BLAST Software on Nucleotide Sequences
The computational power needed for searching exponentially growing databases, such as GenBank, has increased dramatically. Three different implementations of the most widely used ...
I. Elizabeth Cha, Eric C. Rouchka
BMCBI
2006
103views more  BMCBI 2006»
13 years 7 months ago
Cis-motifs upstream of the transcription and translation initiation sites are effectively revealed by their positional disequili
Background: The discovery of cis-regulatory motifs still remains a challenging task even though the number of sequenced genomes is constantly growing. Computational analyses using...
Kenneth W. Berendzen, Kurt Stüber, Klaus Hart...
BMCBI
2004
96views more  BMCBI 2004»
13 years 7 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...