Volume 7 Supplement 2
Third Annual MCBIOS Conference. Bioinformatics: A Calculated Discovery
Proceedings
Edited by Jonathan D Wren (Senior Editor), Stephen Winters-Hilt, Yuriy Gusev, Andrey Ptitsyn
Third Annual MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. Bioinformatics: A Calculated Discovery.
Baton Rouge, LA, USA2-4 March, 2006
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Citation: BMC Bioinformatics 2006 7(Suppl 2):S1
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A Fourier Transformation based Method to Mine Peptide Space for Antimicrobial Activity
Naturally occurring antimicrobial peptides are currently being explored as potential candidate peptide drugs. Since antimicrobial peptides are part of the innate immune system of every living organism, it is p...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S2 -
A scalable machine-learning approach to recognize chemical names within large text databases
The use or study of chemical compounds permeates almost every scientific field and in each of them, the amount of textual information is growing rapidly. There is a need to accurately identify chemical names w...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S3 -
Support Vector Machine Implementations for Classification & Clustering
We describe Support Vector Machine (SVM) applications to classification and clustering of channel current data. SVMs are variational-calculus based methods that are constrained to have structural risk minimiza...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S4 -
Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultaneously. The differentially expressed genes ...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S5 -
RiboaptDB: A Comprehensive Database of Ribozymes and Aptamers
Catalytic RNA molecules are called ribozymes. The aptamers are DNA or RNA molecules that have been selected from vast populations of random sequences, through a combinatorial approach known as SELEX. The selec...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S6 -
EGenBio: A Data Management System for Evolutionary Genomics and Biodiversity
Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of genomic and functional change. We developed E
Citation: BMC Bioinformatics 2006 7(Suppl 2):S7 -
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied to measurements registered in a controlled ...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S8 -
Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of L5178Y mouse lymphoma cells
The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the large colonies grow at a normal rate while cell...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S9 -
Permutation test for periodicity in short time series data
Periodic processes, such as the circadian rhythm, are important factors modulating and coordinating transcription of genes governing key metabolic pathways. Theoretically, even small fluctuations in the orches...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S10 -
A method for computing the overall statistical significance of a treatment effect among a group of genes
In studies that use DNA arrays to assess changes in gene expression, our goal is to evaluate the statistical significance of treatments on sets of genes. Genes can be grouped by a molecular function, a biologi...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S11 -
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. The effectiveness of the RFE algorithm is ...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S12 -
Beyond microarrays: Finding key transcription factors controlling signal transduction pathways
Massive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cells. Transcription factors constitute a class of the r...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S13 -
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way. This approach is based on mu...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S14 -
DNA Molecule Classification Using Feature Primitives
We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent classification performance for five differe...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S15 -
Analysis of gene expression changes in relation to toxicity and tumorigenesis in the livers of Big Blue transgenic rats fed comfrey (Symphytum officinale)
Comfrey is consumed by humans as a vegetable and a tea, and has been used as an herbal medicine for more than 2000 years. Comfrey, however, is hepatotoxic in livestock and humans and carcinogenic in experiment...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S16 -
Improvement in the Reproducibility and Accuracy of DNA Microarray Quantification by Optimizing Hybridization Conditions
DNA microarrays, which have been increasingly used to monitor mRNA transcripts at a global level, can provide detailed insight into cellular processes involved in response to drugs and toxins. This is leading ...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S17 -
Differential gene expression in mouse primary hepatocytes exposed to the peroxisome proliferator-activated receptor α agonists
Fibrates are a unique hypolipidemic drugs that lower plasma triglyceride and cholesterol levels through their action as peroxisome proliferator-activated receptor alpha (PPARα) agonists. The activation of PPAR...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S18 -
An Automated Method for Rapid Identification of Putative Gene Family Members in Plants
Gene duplication events have played a significant role in genome evolution, particularly in plants. Exhaustive searches for all members of a known gene family as well as the identification of new gene families...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S19 -
Gene Expression Profiles Distinguish the Carcinogenic Effects of Aristolochic Acid in Target (Kidney) and Non-target (Liver) Tissues in Rats
Aristolochic acid (AA) is the active component of herbal drugs derived from Aristolochia species that have been used for medicinal purposes since antiquity. AA, however, induced nephropathy and urothelial cancer ...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S20 -
Nanopore Detector based analysis of single-molecule conformational kinetics and binding interactions
A Nanopore Detector provides a means to transduce single molecule events into observable channel current changes. Nanopore-based detection can report directly, or indirectly, on single molecule kinetics. The n...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S21 -
Cheminformatics methods for novel nanopore analysis of HIV DNA termini
Channel current feature extraction methods, using Hidden Markov Models (HMMs) have been designed for tracking individual-molecule conformational changes. This information is derived from observation of changes in...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S22 -
GOFFA: Gene Ontology For Functional Analysis – A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data
Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular components, facilitating interpretation of data fr...
Citation: BMC Bioinformatics 2006 7(Suppl 2):S23
Annual Journal Metrics
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Citation Impact 2023
Journal Impact Factor: 2.9
5-year Journal Impact Factor: 3.6
Source Normalized Impact per Paper (SNIP): 0.821
SCImago Journal Rank (SJR): 1.005
Speed 2023
Submission to first editorial decision (median days): 12
Submission to acceptance (median days): 146
Usage 2023
Downloads: 5,987,678
Altmetric mentions: 4,858