Quantitative prediction of the effect of genetic variation using hidden Markov models.

abstract：BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

journal_title：BMC bioinformatics

authors： Macpherson JI,Pinney JW,Robertson DL

更新日期：2009-03-26 00:00:00

abstract：BACKGROUND:Identification of the recombination hot/cold spots is critical for understanding the mechanism of recombination as well as the genome evolution process. However, experimental identification of recombination spots is both time-consuming and costly. Developing an accurate and automated method for reliably and ...

journal_title：BMC bioinformatics

authors： Li L,Yu S,Xiao W,Li Y,Huang L,Zheng X,Zhou S,Yang H

更新日期：2014-11-20 00:00:00

abstract：BACKGROUND:Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual steps, such as SCOP and CATH, face the challenge of increasing volume of available structures. Automatic methods such as FSSP or Dali Domain Dict...

journal_title：BMC bioinformatics

authors： Sam V,Tai CH,Garnier J,Gibrat JF,Lee B,Munson PJ

更新日期：2008-01-31 00:00:00

abstract：BACKGROUND:It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce either wanted or unwanted effects, such as an increase or decrease in affinity, or a predisposition towards misfolding. Here, we describe a tool wh...

journal_title：BMC bioinformatics

authors： David MP,Lapid CM,Daria VR

更新日期：2008-04-28 00:00:00

abstract：BACKGROUND:Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there exists a large number of pot...

journal_title：BMC bioinformatics

authors： Che D,Guo S,Jiang Q,Chen L

更新日期：2020-07-14 00:00:00

abstract：BACKGROUND:The analysis of sequence-structure relations of RNA is based on a specific notion and folding of RNA structure. The notion of coarse grained structure employed here is that of canonical RNA pseudoknot contact-structures with at most two mutually crossing bonds (3-noncrossing). These structures are folded by ...

journal_title：BMC bioinformatics

authors： Huang FW,Li LY,Reidys CM

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional s...

journal_title：BMC bioinformatics

authors： Ibrahim M,Jassim S,Cawthorne MA,Langlands K

更新日期：2014-11-04 00:00:00

abstract：BACKGROUND:Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited for annotating gene functions and dissecting specific pathway structures. However, our understanding is rather limited to the relationship bet...

journal_title：BMC bioinformatics

authors： You ZH,Yin Z,Han K,Huang DS,Zhou X

更新日期：2010-06-24 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:The scientific literature contains millions of microbial gene identifiers within the full text and tables, but these annotations rarely get incorporated into public sequence databases. We propose to utilize the Open Access (OA) subset of PubMed Central (PMC) as a gene annotation database and have developed a...

journal_title：BMC bioinformatics

authors： Stubben CJ,Challacombe JF

更新日期：2014-02-05 00:00:00

abstract：BACKGROUND:De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence. However, sequencing errors and repeated subsequences render the identification of the true underlying sequence dif...

journal_title：BMC bioinformatics

authors： Steyaert A,Audenaert P,Fostier J

更新日期：2020-09-14 00:00:00

abstract：BACKGROUND:The rapid growth of protein-protein interaction (PPI) data has led to the emergence of PPI network analysis. Despite advances in high-throughput techniques, the interactomes of several model organisms are still far from complete. Therefore, it is desirable to expand these interactomes with ortholog-based and...

journal_title：BMC bioinformatics

authors： Lee SA,Chan CH,Tsai CH,Lai JM,Wang FS,Kao CY,Huang CY

更新日期：2008-12-12 00:00:00

abstract：BACKGROUND:Viral infection by dengue virus is a major public health problem in tropical countries. Early diagnosis and detection are increasingly based on quantitative reverse transcriptase real-time polymerase chain reaction (RT-qPCR) directed against genomic regions conserved between different isolates. Genetic varia...

journal_title：BMC bioinformatics

authors： Vanneste K,Garlant L,Broeders S,Van Gucht S,Roosens NH

更新日期：2018-09-04 00:00:00

abstract：BACKGROUND:Many processes in molecular biology involve the recognition of short sequences of nucleic-or amino acids, such as the binding of immunogenic peptides to major histocompatibility complex (MHC) molecules. From experimental data, a model of the sequence specificity of these processes can be constructed, such as...

journal_title：BMC bioinformatics

authors： Peters B,Sette A

更新日期：2005-05-31 00:00:00

abstract：BACKGROUND:In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS:Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various sample...

journal_title：BMC bioinformatics

authors： Tibshirani R

更新日期：2006-03-02 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interactions and pathogenicity occur through PPIs. Phytopathogenic bacteria infect hosts through attachment to host tissue, enzyme secretion, exopolysa...

journal_title：BMC bioinformatics

authors： Kim JG,Park D,Kim BC,Cho SW,Kim YT,Park YJ,Cho HJ,Park H,Kim KB,Yoon KO,Park SJ,Lee BM,Bhak J

更新日期：2008-01-24 00:00:00

abstract：BACKGROUND:It is now well established that nearly 20% of human cancers are caused by infectious agents, and the list of human oncogenic pathogens will grow in the future for a variety of cancer types. Whole tumor transcriptome and genome sequencing by next-generation sequencing technologies presents an unparalleled opp...

journal_title：BMC bioinformatics

authors： Borozan I,Wilson S,Blanchette P,Laflamme P,Watt SN,Krzyzanowski PM,Sircoulomb F,Rottapel R,Branton PE,Ferretti V

更新日期：2012-08-17 00:00:00

abstract：BACKGROUND:Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good model of GRN. Howeve...

journal_title：BMC bioinformatics

authors： Lo LY,Wong ML,Lee KH,Leung KS

更新日期：2015-11-25 00:00:00

abstract：BACKGROUND:Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of the mapping position of a specific entity or reaction in a given pathway, (2) the recognition of the causal relationships among multiple reactio...

journal_title：BMC bioinformatics

authors： Oda K,Kim JD,Ohta T,Okanohara D,Matsuzaki T,Tateisi Y,Tsujii J

更新日期：2008-04-11 00:00:00

abstract：BACKGROUND:People with an autistic spectrum disorder (ASD) display a variety of characteristic behavioral traits, including impaired social interaction, communication difficulties and repetitive behavior. This complex neurodevelopment disorder is known to be associated with a combination of genetic and environmental fa...

journal_title：BMC bioinformatics

authors： Patel S,Roncaglia P,Lovering RC

更新日期：2015-06-06 00:00:00

abstract：BACKGROUND:Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic sc...

journal_title：BMC bioinformatics

authors： Falda M,Toppo S,Pescarolo A,Lavezzo E,Di Camillo B,Facchinetti A,Cilia E,Velasco R,Fontana P

更新日期：2012-03-28 00:00:00

abstract：BACKGROUND:Alternative splicing is the critical process in a single gene coding, which removes introns and joins exons, and splicing branchpoints are indicators for the alternative splicing. Wet experiments have identified a great number of human splicing branchpoints, but many branchpoints are still unknown. In order ...

journal_title：BMC bioinformatics

authors： Zhang W,Zhu X,Fu Y,Tsuji J,Weng Z

更新日期：2017-12-01 00:00:00

abstract：BACKGROUND:In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differences in gel migration and sample variability make efficient spot alignment very difficult to obtain, and, as consequence most of the software ...

journal_title：BMC bioinformatics

authors： Pérès S,Molina L,Salvetat N,Granier C,Molina F

更新日期：2008-10-28 00:00:00

abstract：BACKGROUND:Prioritizing genes according to their associations with a cancer allows researchers to explore genes in more informed ways. By far, Gene-centric or network-centric gene prioritization methods are predominated. Genes and their protein products carry out cellular processes in the context of functional modules....

journal_title：BMC bioinformatics

authors： Su L,Liu G,Bai T,Meng X,Ma Q

更新日期：2018-06-05 00:00:00

abstract：BACKGROUND:Computer-aided segmentation and border detection in dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer var...

journal_title：BMC bioinformatics

authors： Kockara S,Mete M,Chen B,Aydin K

更新日期：2010-10-07 00:00:00

abstract：BACKGROUND:Bioinformatics research for finding biological mechanisms can be done by analysis of transcriptome data with pathway based interpretation. Therefore, researchers have tried to develop tools to analyze transcriptome data with pathway based interpretation. Over the years, the amount of omics data has become hu...

journal_title：BMC bioinformatics

authors： Kim I,Choi S,Kim S

更新日期：2018-02-19 00:00:00

abstract：BACKGROUND:Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can involve targeted sequencing. Finishing reads may be incorporated by manual or automated means. One automated method uses targeted addition by local...

journal_title：BMC bioinformatics

authors： Koren S,Miller JR,Walenz BP,Sutton G

更新日期：2010-09-10 00:00:00

abstract：BACKGROUND:Hepatocellular carcinoma (HCC) is an aggressive epithelial tumor which shows very poor prognosis and high rate of recurrence, representing an urgent problem for public healthcare. MicroRNAs (miRNAs/miRs) are a class of small, non-coding RNAs that attract great attention because of their role in regulation of...

journal_title：BMC bioinformatics

authors： Del Vecchio F,Gallo F,Di Marco A,Mastroiaco V,Caianiello P,Zazzeroni F,Alesse E,Tessitore A

更新日期：2015-12-10 00:00:00

abstract：BACKGROUND:High-throughput screens comparing growth rates of arrays of distinct micro-organism cultures on solid agar are useful, rapid methods of quantifying genetic interactions. Growth rate is an informative phenotype which can be estimated by measuring cell densities at one or more times after inoculation. Precise ...

journal_title：BMC bioinformatics

authors： Lawless C,Wilkinson DJ,Young A,Addinall SG,Lydall DA

更新日期：2010-05-28 00:00:00

abstract：BACKGROUND:Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a single platform and are not flexible enough to support custom changes, which arise from the new statistical methods, updated versions of refere...

journal_title：BMC bioinformatics

authors： Kim J,Patel K,Jung H,Kuo WP,Ohno-Machado L

更新日期：2011-03-17 00:00:00