Volume 10 Supplement 11
Proceedings of the Sixth Annual MCBIOS Conference. Transformational Bioinformatics: Delivering Value from Genomes
Proceedings
Edited by Jonathan D Wren (Senior Editor), Yuriy Gusev, Raphael D Isokpehi, Dan Berleant, Ulisses Braga-Neto, Dawn Wilkins and Susan Bridges
Sixth Annual MCBIOS Conference. Transformational Bioinformatics: Delivering Value from Genomes. Go to conference site.
Starkville, MS, USA20-21 February 2009
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Citation: BMC Bioinformatics 2009 10(Suppl 11):S1
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Facilitating functional annotation of chicken microarray data
Modeling results from chicken microarray studies is challenging for researchers due to little functional annotation associated with these arrays. The Affymetrix GenChip chicken genome array, one of the biggest...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S2 -
Comparative genome analysis of lignin biosynthesis gene families across the plant kingdom
As a major component of plant cell wall, lignin plays important roles in mechanical support, water transport, and stress responses. As the main cause for the recalcitrance of plant cell wall, lignin modificati...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S3 -
Threshold selection in gene co-expression networks using spectral graph theory techniques
Gene co-expression networks are often constructed by computing some measure of similarity between expression levels of gene transcripts and subsequently applying a high-pass filter to remove all but the most l...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S4 -
HPD: an online integrated human pathway database enabling systems biology studies
Pathway-oriented experimental and computational studies have led to a significant accumulation of biological knowledge concerning three major types of biological pathway events: molecular signaling events, gen...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S5 -
Computational analysis of gene expression space associated with metastatic cancer
Prostate carcinoma is among the most common types of cancer affecting hundreds of thousands people every year. Once the metastatic form of prostate carcinoma is documented, the majority of patients die from th...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S6 -
Exploratory visual analysis of conserved domains on multiple sequence alignments
Multiple alignment of protein sequences can provide insight into sequence conservation across many species and thus allow identification of those sections of the sequence most critical to protein function. Thi...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S7 -
Structural and functional-annotation of an equine whole genome oligoarray
The horse genome is sequenced, allowing equine researchers to use high-throughput functional genomics platforms such as microarrays; next-generation sequencing for gene expression and proteomics. However, for ...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S8 -
Comparing gene annotation enrichment tools for functional modeling of agricultural microarray data
The widespread availability of microarray technology has driven functional genomics to the forefront as scientists seek to draw meaningful biological conclusions from their microarray results. Gene annotation ...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S9 -
Analysis and modeling of time-course gene-expression profiles from nanomaterial-exposed primary human epidermal keratinocytes
Nanomaterials are being manufactured on a commercial scale for use in medical, diagnostic, energy, component and communications industries. However, concerns over the safety of engineered nanomaterials have su...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S10 -
Site-specific impacts on gene expression and behavior in fathead minnows (Pimephales promelas) exposed in situ to streams adjacent to sewage treatment plants
Environmental monitoring for pharmaceuticals and endocrine disruptors in the aquatic environment traditionally employs a variety of methods including analytical chemistry, as well as a variety of histological ...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S11 -
Microarray platform consistency is revealed by biologically functional analysis of gene expression profiles
Several different microarray platforms are available for measuring gene expression. There are disagreements within the microarray scientific community for intra- and inter-platform consistency of these platfor...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S12 -
Automatic identification of angiogenesis in double stained images of liver tissue
To grow beyond certain size and reach oxygen and other essential nutrients, solid tumors trigger angiogenesis (neovascularization) by secreting various growth factors. Based on this fact, several researches pr...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S13 -
NATbox: a network analysis toolbox in R
There has been recent interest in capturing the functional relationships (FRs) from high-throughput assays using suitable computational techniques. FRs elucidate the working of genes in concert as a system as ...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S14 -
Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM)
Understanding the relationship between the protein sequence and the 3D structure is a major research area in bioinformatics. The prediction of complete protein tertiary structure based only on sequence informa...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S15 -
Novel software package for cross-platform transcriptome analysis (CPTRA)
Next-generation sequencing techniques enable several novel transcriptome profiling approaches. Recent studies indicated that digital gene expression profiling based on short sequence tags has superior performa...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S16 -
An automated proteomic data analysis workflow for mass spectrometry
Mass spectrometry-based protein identification methods are fundamental to proteomics. Biological experiments are usually performed in replicates and proteomic analyses generate huge datasets which need to be i...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S17 -
PathBinder – text empirics and automatic extraction of biomolecular interactions
The increasingly large amount of free, online biological text makes automatic interaction extraction correspondingly attractive. Machine learning is one strategy that works by uncovering and using useful prope...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S18 -
Graph ranking for exploratory gene data analysis
Microarray technology has made it possible to simultaneously monitor the expression levels of thousands of genes in a single experiment. However, the large number of genes greatly increases the challenges of a...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S19 -
Integrating phenotype and gene expression data for predicting gene function
This paper presents a framework for integrating disparate data sets to predict gene function. The algorithm constructs a graph, called an integrated similarity graph, by computing similarities based upon both ...
Citation: BMC Bioinformatics 2009 10(Suppl 11):S20
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