Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.

abstract：BACKGROUND:Since RNA molecules regulate genes and control alternative splicing by allostery, it is important to develop algorithms to predict RNA conformational switches. Some tools, such as paRNAss, RNAshapes and RNAbor, can be used to predict potential conformational switches; nevertheless, no existent tool can detec...

journal_title：BMC bioinformatics

authors： Clote P,Lou F,Lorenz WA

更新日期：2012-04-12 00:00:00

abstract：BACKGROUND:Although it is not difficult for state-of-the-art gene finders to identify coding regions in prokaryotic genomes, exact prediction of the corresponding translation initiation sites (TIS) is still a challenging problem. Recently a number of post-processing tools have been proposed for improving the annotation...

journal_title：BMC bioinformatics

authors： Tech M,Meinicke P

更新日期：2006-03-09 00:00:00

abstract：BACKGROUND:One of the greatest challenges in Metabolic Engineering is to develop quantitative models and algorithms to identify a set of genetic manipulations that will result in a microbial strain with a desirable metabolic phenotype which typically means having a high yield/productivity. This challenge is not only du...

journal_title：BMC bioinformatics

authors： Rocha M,Maia P,Mendes R,Pinto JP,Ferreira EC,Nielsen J,Patil KR,Rocha I

更新日期：2008-11-27 00:00:00

abstract：BACKGROUND:Somatic copy number alternation (SCNA) is a common feature of the cancer genome and is associated with cancer etiology and prognosis. The allele-specific SCNA analysis of a tumor sample aims to identify the allele-specific copy numbers of both alleles, adjusting for the ploidy and the tumor purity. Next gene...

journal_title：BMC bioinformatics

authors： Choo-Wosoba H,Albert PS,Zhu B

更新日期：2018-11-14 00:00:00

abstract：BACKGROUND:Single-pass, partial sequencing of complementary DNA (cDNA) libraries generates thousands of chromatograms that are processed into high quality expressed sequence tags (ESTs), and then assembled into contigs representative of putative genes. Usually, to be of value, ESTs and contigs must be associated with m...

journal_title：BMC bioinformatics

authors： Kumar CG,LeDuc R,Gong G,Roinishivili L,Lewin HA,Liu L

更新日期：2004-11-04 00:00:00

abstract：BACKGROUND:Dystrophinopathy is one of the most common human monogenic diseases which results in Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD). Mutations in the dystrophin gene are responsible for both DMD and BMD. However, the clinical phenotypes and treatments are quite different in these two m...

journal_title：BMC bioinformatics

authors： Zhou J,Xin J,Niu Y,Wu S

更新日期：2017-02-02 00:00:00

abstract：BACKGROUND:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein f...

journal_title：BMC bioinformatics

authors： Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

更新日期：2009-05-06 00:00:00

abstract：BACKGROUND:Large-scale genomic studies based on transcriptome technologies provide clusters of genes that need to be functionally annotated. The Gene Ontology (GO) implements a controlled vocabulary organised into three hierarchies: cellular components, molecular functions and biological processes. This terminology all...

journal_title：BMC bioinformatics

authors： Aubry M,Monnier A,Chicault C,de Tayrac M,Galibert MD,Burgun A,Mosser J

更新日期：2006-05-04 00:00:00

abstract：BACKGROUND:Deep mutational scanning is a technique to estimate the impacts of mutations on a gene by using deep sequencing to count mutations in a library of variants before and after imposing a functional selection. The impacts of mutations must be inferred from changes in their counts after selection. RESULTS:I desc...

journal_title：BMC bioinformatics

authors： Bloom JD

更新日期：2015-05-20 00:00:00

abstract：:Environmental shotgun sequencing (ESS) has potential to give greater insight into microbial communities than targeted sequencing of 16S regions, but requires much higher sequence coverage. The advent of next-generation sequencing has made it feasible for the Human Microbiome Project and other initiatives to generate E...

journal_title：BMC bioinformatics

authors： Ander C,Schulz-Trieglaff OB,Stoye J,Cox AJ

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel methods including support vector machines, we propose stem kernels as an extension of string kernels for measuring the similarities between tw...

journal_title：BMC bioinformatics

authors： Sato K,Mituyama T,Asai K,Sakakibara Y

更新日期：2008-07-22 00:00:00

abstract：BACKGROUND:Positron Emission Tomography (PET) is increasingly utilized in radiomics studies for treatment evaluation purposes. Nevertheless, lesion volume identification in PET images is a critical and still challenging step in the process of radiomics, due to the low spatial resolution and high noise level of PET imag...

journal_title：BMC bioinformatics

authors： Stefano A,Comelli A,Bravatà V,Barone S,Daskalovski I,Savoca G,Sabini MG,Ippolito M,Russo G

更新日期：2020-09-16 00:00:00

abstract：:Complexes of physically interacting proteins are one of the fundamental functional units responsible for driving key biological mechanisms within the cell. With the advent of high-throughput techniques, significant amount of protein interaction (PPI) data has been catalogued for organisms such as yeast, which has in t...

journal_title：BMC bioinformatics

authors： Srihari S,Leong HW

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel transcripts. Moreover, for genes with mult...

journal_title：BMC bioinformatics

authors： Zheng W,Chung LM,Zhao H

更新日期：2011-07-19 00:00:00

abstract：BACKGROUND:Over the course of the last few years there has been a significant amount of research performed on ontology-based formalization of phenotype descriptions. In order to fully capture the intrinsic value and knowledge expressed within them, we need to take advantage of their inner structure, which implicitly co...

journal_title：BMC bioinformatics

authors： Groza T,Hunter J,Zankl A

更新日期：2012-10-15 00:00:00

abstract：BACKGROUND:Comparison of metabolic networks is typically performed based on the organisms' enzyme contents. This approach disregards functional replacements as well as orthologies that are misannotated. Direct comparison of the structure of metabolic networks can circumvent these problems. RESULTS:Metabolic networks a...

journal_title：BMC bioinformatics

authors： Forst CV,Flamm C,Hofacker IL,Stadler PF

更新日期：2006-02-14 00:00:00

abstract：BACKGROUND:Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectral content of a given time series. The exact noise characteristics are unknown in many bioinformatics applications. Furthermore, the observed ...

journal_title：BMC bioinformatics

authors： Ahdesmäki M,Lähdesmäki H,Pearson R,Huttunen H,Yli-Harja O

更新日期：2005-05-13 00:00:00

abstract：BACKGROUND:High-throughput methods can directly detect the set of interacting proteins in model species but the results are often incomplete and exhibit high false positive and false negative rates. A number of researchers have recently presented methods for integrating direct and indirect data for predicting interacti...

journal_title：BMC bioinformatics

authors： Qi Y,Klein-Seetharaman J,Bar-Joseph Z

更新日期：2007-01-01 00:00:00

abstract：BACKGROUND:Most known eukaryotic genomes contain mobile copied elements called transposable elements. In some species, these elements account for the majority of the genome sequence. They have been subject to many mutations and other genomic events (copies, deletions, captures) during transposition. The identification ...

journal_title：BMC bioinformatics

authors： Tempel S,Rousseau C,Tahi F,Nicolas J

更新日期：2010-09-22 00:00:00

abstract：BACKGROUND:Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete interactome. These partial networks often show a scale-free behavior with only a few proteins having many and the majority having only a few conne...

journal_title：BMC bioinformatics

authors： Friedel CC,Zimmer R

更新日期：2006-11-30 00:00:00

abstract：BACKGROUND:The improvements of high throughput technologies have produced large amounts of multi-omics experiments datasets. Initial analysis of these data has revealed many concurrent gene alterations within single dataset or/and among multiple omics datasets. Although powerful bioinformatics pipelines have been devel...

journal_title：BMC bioinformatics

authors： Chen D,Zhang F,Zhao Q,Xu J

更新日期：2019-11-08 00:00:00

abstract：BACKGROUND:Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives. In this paper, a comparative analysis of different classifiers was performed for the classi...

journal_title：BMC bioinformatics

authors： Almustafa KM

更新日期：2020-07-02 00:00:00

abstract：BACKGROUND:Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein interaction data in a genome-scale. A wide range of computational approaches have been applied to interactome network analysis for uncovering functi...

journal_title：BMC bioinformatics

authors： Cho YR,Zhang A

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:In the last decade, a significant improvement in detecting remote similarity between protein sequences has been made by utilizing alignment profiles in place of amino-acid strings. Unfortunately, no analytical theory is available for estimating the significance of a gapped alignment of two profiles. Many exp...

journal_title：BMC bioinformatics

authors： Poleksic A

更新日期：2009-04-20 00:00:00

abstract：BACKGROUND:Novel sequence motifs detection is becoming increasingly essential in computational biology. However, the high computational cost greatly constrains the efficiency of most motif discovery algorithms. RESULTS:In this paper, we accelerate MEME algorithm targeted on Intel Many Integrated Core (MIC) Architectur...

journal_title：BMC bioinformatics

authors： Peng S,Cheng M,Huang K,Cui Y,Zhang Z,Guo R,Zhang X,Yang S,Liao X,Lu Y,Zou Q,Shi B

更新日期：2018-08-13 00:00:00

abstract：BACKGROUND:An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types of transcription factors and their DNA binding preferences, it is a challenging problem to establish an accurate model for recognition of fun...

journal_title：BMC bioinformatics

authors： Stepanova M,Lin F,Lin VC

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:Multiple sequence alignment (MSA) is a fundamental analysis method used in bioinformatics and many comparative genomic applications. Prior MSA acceleration attempts with reconfigurable computing have only addressed the first stage of progressive alignment and consequently exhibit performance limitations acco...

journal_title：BMC bioinformatics

authors： Lloyd S,Snell QO

更新日期：2011-12-07 00:00:00

abstract：BACKGROUND:Techniques for reconstruction of biological networks which are based on perturbation experiments often predict direct interactions between nodes that do not exist. Transitive reduction removes such relations if they can be explained by an indirect path of influences. The existing algorithms for transitive re...

journal_title：BMC bioinformatics

authors： Bošnački D,Odenbrett MR,Wijs A,Ligtenberg W,Hilbers P

更新日期：2012-10-30 00:00:00

abstract：BACKGROUND:Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene-gene interactions. RESULTS:A non-parametric Bayesian ap...

journal_title：BMC bioinformatics

authors： Beam AL,Motsinger-Reif A,Doyle J

更新日期：2014-11-21 00:00:00

abstract：BACKGROUND:The identification of a consensus RNA motif often consists in finding a conserved secondary structure with minimum free energy in an ensemble of aligned sequences. However, an alignment is often difficult to obtain without prior structural information. Thus the need for tools to automate this process. RESUL...

journal_title：BMC bioinformatics

authors： Anwar M,Nguyen T,Turcotte M

更新日期：2006-05-05 00:00:00