Bacterial protein meta-interactomes predict cross-species interactions and protein function.

abstract：BACKGROUND:Molecular data, e.g. arising from microarray technology, is often used for predicting survival probabilities of patients. For multivariate risk prediction models on such high-dimensional data, there are established techniques that combine parameter estimation and variable selection. One big challenge is to i...

journal_title：BMC bioinformatics

authors： Sariyar M,Hoffmann I,Binder H

更新日期：2014-02-26 00:00:00

abstract：BACKGROUND:The analysis of tissue-specific protein interaction networks and their functional enrichment in pathological and normal tissues provides insights on the etiology of diseases. The Pan-cancer proteomic project, in The Cancer Genome Atlas, collects protein expressions in human cancers and it is a reference reso...

journal_title：BMC bioinformatics

authors： Sardina DS,Micale G,Ferro A,Pulvirenti A,Giugno R

更新日期：2018-07-09 00:00:00

abstract：BACKGROUND:Searching for similar compounds in a database is the most important process for in-silico drug screening. Since a query compound is an important starting point for the new drug, a query holder, who is afraid of the query being monitored by the database server, usually downloads all the records in the databas...

journal_title：BMC bioinformatics

authors： Shimizu K,Nuida K,Arai H,Mitsunari S,Attrapadung N,Hamada M,Tsuda K,Hirokawa T,Sakuma J,Hanaoka G,Asai K

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

journal_title：BMC bioinformatics

authors： Wang Y,Wu H,Cai Y

更新日期：2018-12-31 00:00:00

abstract：BACKGROUND:Genome-wide expression quantitative trait loci (eQTL) studies have emerged as a powerful tool to understand the genetic basis of gene expression and complex traits. The traditional eQTL methods focus on testing the associations between individual single-nucleotide polymorphisms (SNPs) and gene expression tra...

journal_title：BMC bioinformatics

authors： Cheng W,Shi Y,Zhang X,Wang W

更新日期：2015-01-16 00:00:00

abstract：BACKGROUND:We introduce Approximate Entropy as a mathematical method of analysis for microarray data. Approximate entropy is applied here as a method to classify the complex gene expression patterns resultant of a clinical sample set. Since Entropy is a measure of disorder in a system, we believe that by choosing genes...

journal_title：BMC bioinformatics

authors： Botting SK,Trzeciakowski JP,Benoit MF,Salama SA,Diaz-Arrastia CR

更新日期：2009-02-20 00:00:00

abstract：BACKGROUND:Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to the high number of possible discriminatory genetic networks involved. In this re...

journal_title：BMC bioinformatics

authors： Cernea A,Fernández-Martínez JL,deAndrés-Galiana EJ,Fernández-Ovies FJ,Alvarez-Machancoses O,Fernández-Muñiz Z,Saligan LN,Sonis ST

更新日期：2020-03-11 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are small ~22 nucleotide non-coding RNAs that function as post-transcriptional regulators of messenger RNA (mRNA) through base-pairing to 6-8 nucleotide long target sites, usually located within the mRNA 3' untranslated region. A common approach to validate and probe microRNA-mRNA interact...

journal_title：BMC bioinformatics

authors： Ryan BC,Werner TS,Howard PL,Chow RL

更新日期：2016-04-27 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) play crucial roles in the execution of various cellular processes and form the basis of biological mechanisms. Although large amount of PPIs data for different species has been generated by high-throughput experimental techniques, current PPI pairs obtained with experiment...

journal_title：BMC bioinformatics

authors： You ZH,Lei YK,Zhu L,Xia J,Wang B

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:The rate of protein structures being deposited in the Protein Data Bank surpasses the capacity to experimentally characterise them and therefore computational methods to analyse these structures have become increasingly important. Identifying the region of the protein most likely to be involved in function i...

journal_title：BMC bioinformatics

authors： Bray T,Chan P,Bougouffa S,Greaves R,Doig AJ,Warwicker J

更新日期：2009-11-18 00:00:00

abstract：BACKGROUND:HH-suite is a widely used open source software suite for sensitive sequence similarity searches and protein fold recognition. It is based on pairwise alignment of profile Hidden Markov models (HMMs), which represent multiple sequence alignments of homologous proteins. RESULTS:We developed a single-instructi...

journal_title：BMC bioinformatics

authors： Steinegger M,Meier M,Mirdita M,Vöhringer H,Haunsberger SJ,Söding J

更新日期：2019-09-14 00:00:00

abstract：BACKGROUND:One of the important goals in the post-genomic era is to determine the regulatory elements within the non-coding DNA of a given organism's genome. The identification of functional cis-regulatory modules has proven difficult since the component factor binding sites are small and the rules governing their arra...

journal_title：BMC bioinformatics

authors： Emberly E,Rajewsky N,Siggia ED

更新日期：2003-11-20 00:00:00

abstract：BACKGROUND:Extant genomes share regions where genes have the same order and orientation, which are thought to arise from the conservation of an ancestral order of genes during evolution. Such regions of so-called conserved synteny, or synteny blocks, must be precisely identified and quantified, as a prerequisite to bet...

journal_title：BMC bioinformatics

authors： Lucas JM,Muffato M,Roest Crollius H

更新日期：2014-08-08 00:00:00

abstract：BACKGROUND:In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently few choices for the analysis of a pair of microarrays where N = 1 in each condition. In this paper, we demonstrate the effectiveness of a new al...

journal_title：BMC bioinformatics

authors： Reid RW,Fodor AA

更新日期：2008-11-21 00:00:00

abstract：BACKGROUND:Protein remote homology detection is one of the central problems in bioinformatics, which is important for both basic research and practical application. Currently, discriminative methods based on Support Vector Machines (SVMs) achieve the state-of-the-art performance. Exploring feature vectors incorporating...

journal_title：BMC bioinformatics

authors： Liu B,Xu J,Zou Q,Xu R,Wang X,Chen Q

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the variables available for each subject: the main characteristic of high-dimensional data is that the number of variables greatly exceeds the number o...

journal_title：BMC bioinformatics

authors： Blagus R,Lusa L

更新日期：2010-10-20 00:00:00

abstract：BACKGROUND:Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variation in human populations. Array-based comparative genomic hybridization (array-CGH) and newly developed read-depth approach through ultrahigh ...

journal_title：BMC bioinformatics

authors： Zhang ZD,Gerstein MB

更新日期：2010-10-31 00:00:00

abstract：BACKGROUND:Transcription factors are known to play key roles in carcinogenesis and therefore, are gaining popularity as potential therapeutic targets in drug development. A 'master regulator' transcription factor often appears to control most of the regulatory activities of the other transcription factors and the assoc...

journal_title：BMC bioinformatics

authors： Sikdar S,Datta S

更新日期：2017-02-02 00:00:00

abstract：BACKGROUND:The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that encode specific amino acid residues. Such periodicity is usually not observed in introns and intergenic regions. If a DNA sequence is d...

journal_title：BMC bioinformatics

authors： Wang L,Stein LD

更新日期：2010-11-08 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:New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioi...

journal_title：BMC bioinformatics

authors： Duncan S,Sirkanungo R,Miller L,Phillips GJ

更新日期：2010-02-22 00:00:00

abstract：BACKGROUND:Periodogram analysis of time-series is widespread in biology. A new challenge for analyzing the microarray time series data is to identify genes that are periodically expressed. Such challenge occurs due to the fact that the observed time series usually exhibit non-idealities, such as noise, short length, an...

journal_title：BMC bioinformatics

authors： Liew AW,Xian J,Wu S,Smith D,Yan H

更新日期：2007-04-24 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:We investigate the relationships between the EC (Enzyme Commission) class, the associated chemical reaction, and the reaction mechanism by building predictive models using Support Vector Machine (SVM), Random Forest (RF) and k-Nearest Neighbours (kNN). We consider two ways of encoding the reaction mechanism ...

journal_title：BMC bioinformatics

authors： Nath N,Mitchell JB

更新日期：2012-04-24 00:00:00

abstract：BACKGROUND:Protein-coding gene detection in prokaryotic genomes is considered a much simpler problem than in intron-containing eukaryotic genomes. However there have been reports that prokaryotic gene finder programs have problems with small genes (either over-predicting or under-predicting). Therefore the question ari...

journal_title：BMC bioinformatics

authors： Warren AS,Archuleta J,Feng WC,Setubal JC

更新日期：2010-03-15 00:00:00

abstract：BACKGROUND:Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, which presents challenge...

journal_title：BMC bioinformatics

authors： Min EJ,Long Q

更新日期：2020-04-15 00:00:00

abstract：BACKGROUND:Microarray technology allows the analysis of genomic aberrations at an ever increasing resolution, making functional interpretation of these vast amounts of data the main bottleneck in routine implementation of high resolution array platforms, and emphasising the need for a centralised and easy to use CNV da...

journal_title：BMC bioinformatics

authors： Vandeweyer G,Reyniers E,Wuyts W,Rooms L,Kooy RF

更新日期：2011-01-05 00:00:00

abstract：BACKGROUND:Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained. RESULTS:We present an R/Bioconductor port of a fast novel algorithm for...

journal_title：BMC bioinformatics

authors： Savage RS,Heller K,Xu Y,Ghahramani Z,Truman WM,Grant M,Denby KJ,Wild DL

更新日期：2009-08-06 00:00:00

abstract：BACKGROUND:Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then used to group together genes based on their similarity in expression profiles. Genes in each group are probably functionally related. The functi...

journal_title：BMC bioinformatics

authors： Tchagang AB,Gawronski A,Bérubé H,Phan S,Famili F,Pan Y

更新日期：2010-05-06 00:00:00

abstract：BACKGROUND:Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phase...

journal_title：BMC bioinformatics

authors： Verdi KK,Ellis HJ,Gryk MR

更新日期：2007-01-30 00:00:00