Volume 10 Supplement 2
Selected Proceedings of the First Summit on Translational Bioinformatics 2008
Proceedings
Edited by Atul J Butte, Indra Neil Sarkar, Marco Ramoni, Yves Lussier and Olga Troyanskaya
The First Summit on Translational Bioinformatics 2008. Go to conference site.
San Francisco, CA, USA10-12 March 2008
-
Citation: BMC Bioinformatics 2009 10(Suppl 2):I1
-
Ontology-driven indexing of public datasets for translational bioinformatics
The volume of publicly available genomic scale data is increasing. Genomic datasets in public repositories are annotated with free-text fields describing the pathological state of the studied sample. These ann...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S1 -
Ontology driven integration platform for clinical and translational research
Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Cl...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S2 -
Computational neuroanatomy: ontology-based representation of neural components and connectivity
A critical challenge in neuroscience is organizing, managing, and accessing the explosion in neuroscientific knowledge, particularly anatomic knowledge. We believe that explicit knowledge-based approaches to m...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S3 -
Metadata mapping and reuse in caBIGâ„¢
This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facil...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S4 -
Evaluation of a gene information summarization system by users during the analysis process of microarray datasets
Summarization of gene information in the literature has the potential to help genomics researchers translate basic research into clinical benefits. Gene expression microarrays have been used to study biomarker...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S5 -
Pharmspresso: a text mining tool for extraction of pharmacogenomic concepts and relationships from full text
Pharmacogenomics studies the relationship between genetic variation and the variation in drug response phenotypes. The field is rapidly gaining importance: it promises drugs targeted to particular subpopulatio...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S6 -
Phenotype forecasting with SNPs data through gene-based Bayesian networks
Bayesian networks are powerful instruments to learn genetic models from association studies data. They are able to derive the existing correlation between genetic markers and phenotypic traits and, at the same...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S7 -
PhenoGO: an integrated resource for the multiscale mining of clinical and biological data
The evolving complexity of genome-scale experiments has increasingly centralized the role of a highly computable, accurate, and comprehensive resource spanning multiple biological scales and viewpoints. To pro...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S8 -
BioProspecting: novel marker discovery obtained by mining the bibleome
BioProspecting is a novel approach that enabled our team to mine data related to genetic markers from the New England Journal of Medicine (NEJM) utilizing SNOMED CT and the Human Gene Onotology (HUGO). The Bio...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S9 -
Towards bioinformatics assisted infectious disease control
This paper proposes a novel framework for bioinformatics assisted biosurveillance and early warning to address the inefficiencies in traditional surveillance as well as the need for more timely and comprehensi...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S10 -
Robust methods for accurate diagnosis using pan-microbiological oligonucleotide microarrays
To address the limitations of traditional virus and pathogen detection methodologies in clinical diagnosis, scientists have developed high-throughput oligonucleotide microarrays to rapidly identify infectious ...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S11 -
Leveraging existing biological knowledge in the identification of candidate genes for facial dysmorphology
In response to the frequently overwhelming output of high-throughput microarray experiments, we propose a methodology to facilitate interpretation of biological data in the context of existing knowledge. Throu...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S12 -
Identifying hypothetical genetic influences on complex disease phenotypes
Statistical interactions between disease-associated loci of complex genetic diseases suggest that genes from these regions are involved in a common mechanism impacting, or impacted by, the disease. The computa...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S13 -
The "etiome": identification and clustering of human disease etiological factors
Both genetic and environmental factors contribute to human diseases. Most common diseases are influenced by a large number of genetic and environmental factors, most of which individually have only a modest ef...
Citation: BMC Bioinformatics 2009 10(Suppl 2):S14
Annual Journal Metrics
-
Citation Impact
3.328 - 2-year Impact Factor (2021)
4.341 - 5-year Impact Factor (2021)
1.105 - SNIP (Source Normalized Impact per Paper)
1.246 - SJR (SCImago Journal Rank)Speed
15 days to first decision for all manuscripts (Median)
56 days to first decision for reviewed manuscripts only (Median)Usage
6,337,109 Downloads (2021)
8,344 Altmetric mentions (2021)