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» Large scale hierarchical clustering of protein sequences
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BMCBI
2010
175views more  BMCBI 2010»
15 years 28 days ago
Towards high performance computing for molecular structure prediction using IBM Cell Broadband Engine - an implementation perspe
Background: RNA structure prediction problem is a computationally complex task, especially with pseudo-knots. The problem is well-studied in existing literature and predominantly ...
S. P. T. Krishnan, Sim Sze Liang, Bharadwaj Veerav...
125
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BMCBI
2005
128views more  BMCBI 2005»
15 years 22 days ago
Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
Background: Biological Mass Spectrometry is used to analyse peptides and proteins. A mass spectrum generates a list of measured mass to charge ratios and intensities of ionised pe...
Witold E. Wolski, Maciej Lalowski, Peter Martus, R...
138
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NAR
2011
198views Computer Vision» more  NAR 2011»
14 years 3 months ago
PhylomeDB v3.0: an expanding repository of genome-wide collections of trees, alignments and phylogeny-based orthology and paralo
The growing availability of complete genomic sequences from diverse species has brought about the need to scale up phylogenomic analyses, including the reconstruction of large col...
Jaime Huerta-Cepas, Salvador Capella-Gutiér...
EDM
2008
97views Data Mining» more  EDM 2008»
15 years 2 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
110
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BMCBI
2010
122views more  BMCBI 2010»
15 years 28 days ago
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional
Background: New technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data i...
Thomas M. Asbury, Matt Mitman, Jijun Tang, W. Jim ...