Optimal neighborhood indexing for protein similarity search.

abstract：BACKGROUND:Simulated nucleotide or amino acid sequences are frequently used to assess the performance of phylogenetic reconstruction methods. BEAST, a Bayesian statistical framework that focuses on reconstructing time-calibrated molecular evolutionary processes, supports a wide array of evolutionary models, but lacked ...

journal_title：BMC bioinformatics

authors： Bielejec F,Lemey P,Carvalho LM,Baele G,Rambaut A,Suchard MA

更新日期：2014-05-07 00:00:00

abstract：BACKGROUND:High throughput DNA/RNA sequencing has revolutionized biological and clinical research. Sequencing is widely used, and generates very large amounts of data, mainly due to reduced cost and advanced technologies. Quickly assessing the quality of giga-to-tera base levels of sequencing data has become a routine ...

journal_title：BMC bioinformatics

authors： Chanumolu SK,Albahrani M,Otu HH

更新日期：2019-08-15 00:00:00

abstract：BACKGROUND:Although metatranscriptomics-the study of diverse microbial population activity based on RNA-seq data-is rapidly growing in popularity, there are limited options for biologists to analyze this type of data. Current approaches for processing metatranscriptomes rely on restricted databases and a dedicated comp...

journal_title：BMC bioinformatics

authors： Westreich ST,Korf I,Mills DA,Lemay DG

更新日期：2016-09-29 00:00:00

abstract：BACKGROUND:Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carboh...

journal_title：BMC bioinformatics

authors： Ranzinger R,Herget S,Wetter T,von der Lieth CW

更新日期：2008-09-19 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:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

journal_title：BMC bioinformatics

authors： Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

更新日期：2012-03-13 00:00:00

abstract：BACKGROUND:Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much debate on the best ways to process data, to design experiments and analyse the output. Furthermore, many of the more sophisticated mathematica...

journal_title：BMC bioinformatics

authors： Chain B,Bowen H,Hammond J,Posch W,Rasaiyaah J,Tsang J,Noursadeghi M

更新日期：2010-06-24 00:00:00

abstract：BACKGROUND:The aberrant expression of microRNAs is closely connected to the occurrence and development of a great deal of human diseases. To study human diseases, numerous effective computational models that are valuable and meaningful have been presented by researchers. RESULTS:Here, we present a computational framew...

journal_title：BMC bioinformatics

authors： Gao Z,Wang YT,Wu QW,Ni JC,Zheng CH

更新日期：2020-02-18 00:00:00

abstract：BACKGROUND:Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that promoters of co-expressed genes should share common regulatory motifs, which forms the basis for numerous computational tools that search for th...

journal_title：BMC bioinformatics

authors： Meng G,Mosig A,Vingron M

更新日期：2010-05-20 00:00:00

abstract：BACKGROUND:The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of biomedical knowledge in literature, which urges the development of t...

journal_title：BMC bioinformatics

authors： Jin B,Muller B,Zhai C,Lu X

更新日期：2008-12-08 00:00:00

abstract：BACKGROUND:The organization of the canonical code has intrigued researches since it was first described. If we consider all codes mapping the 64 codes into 20 amino acids and one stop codon, there are more than 1.51×10(84) possible genetic codes. The main question related to the organization of the genetic code is why ...

journal_title：BMC bioinformatics

authors： de Oliveira LL,de Oliveira PS,Tinós R

更新日期：2015-02-19 00:00:00

abstract：BACKGROUND:Bacterial pan-genomes, comprised of conserved and variable genes across multiple sequenced bacterial genomes, allow for identification of genomic regions that are phylogenetically discriminating or functionally important. Pan-genomes consist of large amounts of data, which can restrict researchers ability to...

journal_title：BMC bioinformatics

authors： Clarke TH,Brinkac LM,Inman JM,Sutton G,Fouts DE

更新日期：2018-06-27 00:00:00

abstract：BACKGROUND:A number of tools for the examination of linkage disequilibrium (LD) patterns between nearby alleles exist, but none are available for quickly and easily investigating LD at longer ranges (>500 kb). We have developed a web-based query tool (GLIDERS: Genome-wide LInkage DisEquilibrium Repository and Search en...

journal_title：BMC bioinformatics

authors： Lawrence R,Day-Williams AG,Mott R,Broxholme J,Cardon LR,Zeggini E

更新日期：2009-10-31 00:00:00

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 Immunoglobulins (IG) and the T cell receptors (TR) play the key role in antigen recognition during the adaptive immune response. Recent progress in next-generation sequencing technologies has provided an opportunity for the deep T cell receptor repertoire profiling. However, a specialised software is req...

journal_title：BMC bioinformatics

authors： Nazarov VI,Pogorelyy MV,Komech EA,Zvyagin IV,Bolotin DA,Shugay M,Chudakov DM,Lebedev YB,Mamedov IZ

更新日期：2015-05-28 00:00:00

abstract：BACKGROUND:Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters. However, in the literature there is little work dedicated to this area of research. On...

journal_title：BMC bioinformatics

authors： Yuan Y,Li CT,Wilson R

更新日期：2008-06-18 00:00:00

abstract：:Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these ca...

journal_title：BMC bioinformatics

authors： Schlitt T,Brazma A

更新日期：2007-09-27 00:00:00

abstract：BACKGROUND:Time- and dose-to-event phenotypes used in basic science and translational studies are commonly measured imprecisely or incompletely due to limitations of the experimental design or data collection schema. For example, drug-induced toxicities are not reported by the actual time or dose triggering the event, ...

journal_title：BMC bioinformatics

authors： Li Z,Lin J,Sibley AB,Truong T,Chua KC,Jiang Y,McCarthy J,Kroetz DL,Allen A,Owzar K

更新日期：2019-05-28 00:00:00

abstract：BACKGROUND:Functional genomics involves the parallel experimentation with large sets of proteins. This requires management of large sets of open reading frames as a prerequisite of the cloning and recombinant expression of these proteins. RESULTS:A Java program was developed for retrieval of protein and nucleic acid s...

journal_title：BMC bioinformatics

authors： Büssow K,Hoffmann S,Sievert V

更新日期：2002-12-19 00:00:00

abstract：BACKGROUND:As molecular biology is creating an increasing amount of sequence and structure data, the multitude of software to analyze this data is also rising. Most of the programs are made for a specific task, hence the user often needs to combine multiple programs in order to reach a goal. This can make the data proc...

journal_title：BMC bioinformatics

authors： Kunzmann P,Hamacher K

更新日期：2018-10-01 00:00:00

abstract：BACKGROUND:Protein-protein docking is a valuable computational approach for investigating protein-protein interactions. Shape complementarity is the most basic component of a scoring function and plays an important role in protein-protein docking. Despite significant progresses, shape representation remains an open que...

journal_title：BMC bioinformatics

authors： Yan Y,Huang SY

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:The misregulation of microRNA (miRNA) has been shown to cause diseases. Recently, we have proposed a computational method based on a random walk framework on a miRNA-target gene network to predict disease-associated miRNAs. The prediction performance of our method is better than that of some existing state-o...

journal_title：BMC bioinformatics

authors： Le DH,Tran TTH

更新日期：2020-06-15 00:00:00

abstract：BACKGROUND:Over the last two decades, an innovative technology called Tissue Microarray (TMA), which combines multi-tissue and DNA microarray concepts, has been widely used in the field of histology. It consists of a collection of several (up to 1000 or more) tissue samples that are assembled onto a single support - ty...

journal_title：BMC bioinformatics

authors： Nguyen HN,Paveau V,Cauchois C,Kervrann C

更新日期：2018-04-19 00:00:00

abstract：BACKGROUND:Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a high degree of biological significance. Previously we have discussed the basic mechanisms of our novel method for structure compariso...

journal_title：BMC bioinformatics

authors： Veeramalai M,Gilbert D,Valiente G

更新日期：2010-03-17 00:00:00

abstract：BACKGROUND:DNA copy number variation (CNV) has been recognized as an important source of genetic variation. Array comparative genomic hybridization (aCGH) is commonly used for CNV detection, but the microarray platform has a number of inherent limitations. RESULTS:Here, we describe a method to detect copy number varia...

journal_title：BMC bioinformatics

authors： Xie C,Tammi MT

更新日期：2009-03-06 00:00:00

abstract：BACKGROUND:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

journal_title：BMC bioinformatics

authors： Lu G,Zhang S,Fang X

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Extensive studies have been carried out on Caenorhabditis elegans as a model organism to elucidate mechanisms of aging and the effects of perturbing known aging-related genes on lifespan and behavior. This research has generated large amounts of experimental data that is increasingly difficult to integrate a...

journal_title：BMC bioinformatics

authors： Callahan A,Cifuentes JJ,Dumontier M

更新日期：2015-02-07 00:00:00

abstract：BACKGROUND:Domain fusion analysis is a useful method to predict functionally linked proteins that may be involved in direct protein-protein interactions or in the same metabolic or signaling pathway. As separate domain databases like BLOCKS, PROSITE, Pfam, SMART, PRINTS-S, ProDom, TIGRFAMs, and amalgamated domain datab...

journal_title：BMC bioinformatics

authors： Truong K,Ikura M

更新日期：2003-05-06 00:00:00

abstract：BACKGROUND:The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research. We present a novel method called MergeAlign which constructs consensus MSAs fro...

journal_title：BMC bioinformatics

authors： Collingridge PW,Kelly S

更新日期：2012-05-30 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