Efficient inference of homologs in large eukaryotic pan-proteomes.

abstract：BACKGROUND:Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order t...

journal_title：BMC bioinformatics

authors： Corradi L,Fato M,Porro I,Scaglione S,Torterolo L

更新日期：2008-11-13 00:00:00

abstract：BACKGROUND:The advance of next generation sequencing enables higher throughput with lower price, and as the basic of high-throughput sequencing data analysis, variant calling is widely used in disease research, clinical treatment and medicine research. However, current mainstream variant caller tools have a serious pro...

journal_title：BMC bioinformatics

authors： Xiao A,Wu Z,Dong S

更新日期：2019-02-14 00:00:00

abstract：BACKGROUND AND GOAL:The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. RESULTS:In this conte...

journal_title：BMC bioinformatics

authors： Couronné R,Probst P,Boulesteix AL

更新日期：2018-07-17 00:00:00

abstract：BACKGROUND:Protein function prediction is an important problem in the post-genomic era. Recent advances in experimental biology have enabled the production of vast amounts of protein-protein interaction (PPI) data. Thus, using PPI data to functionally annotate proteins has been extensively studied. However, most existi...

journal_title：BMC bioinformatics

authors： Xiong W,Liu H,Guan J,Zhou S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Reference genome assemblies are valuable, as they provide insights into gene content, genetic evolution and domestication. The higher the quality of a reference genome assembly the more accurate the downstream analysis will be. During the last few years, major efforts have been made towards improving the qua...

journal_title：BMC bioinformatics

authors： Yuan Y,Bayer PE,Scheben A,Chan CK,Edwards D

更新日期：2017-06-30 00:00:00

abstract：:DNA methylation exhibits different patterns in different cancers. DNA methylation rates at different genomic loci appear to be highly correlated in some samples but not in others. We call such phenomena conditional concordant relationships (CCRs). In this study, we explored DNA methylation patterns in 12 common cancer...

journal_title：BMC bioinformatics

authors： Qiu P,Zhang L

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:One of the most important goals of the mathematical modeling of gene regulatory networks is to alter their behavior toward desirable phenotypes. Therapeutic techniques are derived for intervention in terms of stationary control policies. In large networks, it becomes computationally burdensome to derive an o...

journal_title：BMC bioinformatics

authors： Ghaffari N,Ivanov I,Qian X,Dougherty ER

更新日期：2011-10-18 00:00:00

abstract：BACKGROUND:RNA-Sequencing (RNA-seq) experiments have been popularly applied to transcriptome studies in recent years. Such experiments are still relatively costly. As a result, RNA-seq experiments often employ a small number of replicates. Power analysis and sample size calculation are challenging in the context of dif...

journal_title：BMC bioinformatics

authors： Bi R,Liu P

更新日期：2016-03-31 00:00:00

abstract：BACKGROUND:Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our motivation is inspired by label propagation algorithm and the false positive protein-protein intera...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu J,Liu X,Fan X,Hong Y,Wang Y,Huang Y,Xie M

更新日期：2018-02-08 00:00:00

abstract：BACKGROUND:Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technology can make data interpretation unreliable. Therefore, methods to correct this kind of technical variation are critical. Here we consider a me...

journal_title：BMC bioinformatics

authors： Pelz CR,Kulesz-Martin M,Bagby G,Sears RC

更新日期：2008-12-04 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:The structure conservation in various α-helix subclasses reveals the sequence and context dependent factors causing distortions in the α-helix. The sequence-structure relationship in these subclasses can be used to predict structural variations in α-helix purely based on its sequence. We train support vector...

journal_title：BMC bioinformatics

authors： Tendulkar AV,Wangikar PP

更新日期：2011-02-15 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However, the prediction speci...

journal_title：BMC bioinformatics

authors： Liu H,Yue D,Chen Y,Gao SJ,Huang Y

更新日期：2010-09-22 00:00:00

abstract：BACKGROUND:The computation of phylogenetic trees on the same set of species that are based on different orthologous genes can lead to incongruent trees. One possible explanation for this behavior are interspecific hybridization events recombining genes of different species. An important approach to analyze such events ...

journal_title：BMC bioinformatics

authors： Albrecht B

更新日期：2015-07-30 00:00:00

abstract：BACKGROUND:Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a network's response to specific input examples that may be insufficien...

journal_title：BMC bioinformatics

authors： Liu G,Zeng H,Gifford DK

更新日期：2019-07-19 00:00:00

abstract：BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

journal_title：BMC bioinformatics

authors： Liu Q,Crammer K,Pereira FC,Roos DS

更新日期：2008-10-14 00:00:00

abstract：BACKGROUND:Ontologies are widely used to represent knowledge in biomedicine. Systematic approaches for detecting errors and disagreements are needed for large ontologies with hundreds or thousands of terms and semantic relationships. A recent approach of defining terms using logical definitions is now increasingly bein...

journal_title：BMC bioinformatics

authors： Köhler S,Bauer S,Mungall CJ,Carletti G,Smith CL,Schofield P,Gkoutos GV,Robinson PN

更新日期：2011-10-27 00:00:00

abstract：BACKGROUND:Mass spectrometry is an essential analytical technique for high-throughput analysis in proteomics and metabolomics. The development of new separation techniques, precise mass analyzers and experimental protocols is a very active field of research. This leads to more complex experimental setups yielding ever ...

journal_title：BMC bioinformatics

authors： Sturm M,Bertsch A,Gröpl C,Hildebrandt A,Hussong R,Lange E,Pfeifer N,Schulz-Trieglaff O,Zerck A,Reinert K,Kohlbacher O

更新日期：2008-03-26 00:00:00

abstract：BACKGROUND:Shotgun metagenomics based on untargeted sequencing can explore the taxonomic profile and the function of unknown microorganisms in samples, and complement the shortage of amplicon sequencing. Binning assembled sequences into individual groups, which represent microbial genomes, is the key step and a major c...

journal_title：BMC bioinformatics

authors： Yue Y,Huang H,Qi Z,Dou HM,Liu XY,Han TF,Chen Y,Song XJ,Zhang YH,Tu J

更新日期：2020-07-28 00:00:00

abstract：BACKGROUND:Biomedical processes can provide essential information about the (mal-) functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attribute...

journal_title：BMC bioinformatics

authors： Andrade AQ,Blondé W,Hastings J,Schulz S

更新日期：2012-08-28 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:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

journal_title：BMC bioinformatics

authors： Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

更新日期：2010-11-29 00:00:00

abstract：:Metabolic network alignment is a system scale comparative analysis that discovers important similarities and differences across different metabolisms and organisms. Although the problem of aligning metabolic networks has been considered in the past, the computational complexity of the existing solutions has so far lim...

journal_title：BMC bioinformatics

authors： Ay F,Dang M,Kahveci T

更新日期：2012-03-21 00:00:00

abstract：BACKGROUND:Current microRNA (miRNA) research in progress has engendered rapid accumulation of expression data evolving from microarray experiments. Such experiments are generally performed over different tissues belonging to a specific species of metazoan. For disease diagnosis, microarray probes are also prepared with...

journal_title：BMC bioinformatics

authors： Bandyopadhyay S,Bhattacharyya M

更新日期：2009-05-28 00:00:00

abstract：: ...

journal_title：BMC bioinformatics

authors： Wren JD,Doerkson RJ,Toby IT,Nanduri B,Homayouni R,Manda P,Thakkar S

更新日期：2019-03-14 00:00:00

abstract：BACKGROUND:Current malaria diagnosis relies primarily on microscopic examination of Giemsa-stained thick and thin blood films. This method requires vigorously trained technicians to efficiently detect and classify the malaria parasite species such as Plasmodium falciparum (Pf) and Plasmodium vivax (Pv) for an appropria...

journal_title：BMC bioinformatics

authors： Kaewkamnerd S,Uthaipibull C,Intarapanich A,Pannarut M,Chaotheing S,Tongsima S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:The evolutionary history of genes serves as a cornerstone of contemporary biology. Most conserved sequences in mammalian genomes don't code for proteins, yielding a need to infer evolutionary history of sequences irrespective of what kind of functional element they may encode. Thus, sequence-, as opposed to ...

journal_title：BMC bioinformatics

authors： Gao K,Miller J

更新日期：2020-02-06 00:00:00

abstract：BACKGROUND:The analysis of genome synteny is a common practice in comparative genomics. With the advent of DNA sequencing technologies, individual biologists can rapidly produce their genomic sequences of interest. Although web-based synteny visualization tools are convenient for biologists to use, none of the existing...

journal_title：BMC bioinformatics

authors： Revanna KV,Chiu CC,Bierschank E,Dong Q

更新日期：2011-08-02 00:00:00

abstract：BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

journal_title：BMC bioinformatics

authors： Meinicke P,Tech M,Morgenstern B,Merkl R

更新日期：2004-10-28 00:00:00

abstract：BACKGROUND:Protein-protein docking, which aims to predict the structure of a protein-protein complex from its unbound components, remains an unresolved challenge in structural bioinformatics. An important step is the ranking of docked poses using a scoring function, for which many methods have been developed. There is ...

journal_title：BMC bioinformatics

authors： Moal IH,Torchala M,Bates PA,Fernández-Recio J

更新日期：2013-10-01 00:00:00