Ortholog-based protein-protein interaction prediction and its application to inter-species interactions.

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:Recently differential variability has been showed to be valuable in evaluating the association of DNA methylation to the risks of complex human diseases. The statistical tests based on both differential methylation level and differential variability can be more powerful than those based only on differential ...

journal_title：BMC bioinformatics

authors： Li X,Fu Y,Wang X,Qiu W

更新日期：2018-05-18 00:00:00

abstract：BACKGROUND:Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions and global DNA microarray hybridization experiments, has opened the...

journal_title：BMC bioinformatics

authors： Baumbach J

更新日期：2007-11-06 00:00:00

abstract：BACKGROUND:Severity gradation of missense mutations is a big challenge for exome annotation. Predictors of deleteriousness that are most frequently used to filter variants found by next generation sequencing, produce qualitative predictions, but also numerical scores. It has never been tested if these scores correlate ...

journal_title：BMC bioinformatics

authors： Cimmaruta C,Citro V,Andreotti G,Liguori L,Cubellis MV,Hay Mele B

更新日期：2018-11-30 00:00:00

abstract：BACKGROUND:Long short-term memory (LSTM) is one of the most attractive deep learning methods to learn time series or contexts of input data. Increasing studies, including biological sequence analyses in bioinformatics, utilize this architecture. Amino acid sequence profiles are widely used for bioinformatics studies, s...

journal_title：BMC bioinformatics

authors： Yamada KD,Kinoshita K

更新日期：2018-07-18 00:00:00

abstract：BACKGROUND:Several biological techniques result in the acquisition of functional sets of cDNAs that must be sequenced and analyzed. The emergence of redundant databases such as UniGene and centralized annotation engines such as Entrez Gene has allowed the development of software that can analyze a great number of seque...

journal_title：BMC bioinformatics

authors： Smith RP,Buchser WJ,Lemmon MB,Pardinas JR,Bixby JL,Lemmon VP

更新日期：2008-04-10 00:00:00

abstract：BACKGROUND:Pseudouridylation is the most prevalent type of posttranscriptional modification in various stable RNAs of all organisms, which significantly affects many cellular processes that are regulated by RNA. Thus, accurate identification of pseudouridine (Ψ) sites in RNA will be of great benefit for understanding t...

journal_title：BMC bioinformatics

authors： He J,Fang T,Zhang Z,Huang B,Zhu X,Xiong Y

更新日期：2018-08-29 00:00:00

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:Recent technological advances in DNA sequencing and genotyping have led to the accumulation of a remarkable quantity of data on genetic polymorphisms. However, the development of new statistical and computational tools for effective processing of these data has not been equally as fast. In particular, Machin...

journal_title：BMC bioinformatics

authors： Lagani V,Montesanto A,Di Cianni F,Moreno V,Landi S,Conforti D,Rose G,Passarino G

更新日期：2009-06-16 00:00:00

abstract：BACKGROUND:The signal peptide plays an important role in protein targeting and protein translocation in both prokaryotic and eukaryotic cells. This transient, short peptide sequence functions like a postal address on an envelope by targeting proteins for secretion or for transfer to specific organelles for further proc...

journal_title：BMC bioinformatics

authors： Choo KH,Tan TW,Ranganathan S

更新日期：2005-10-13 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:The reconstruction of reliable graphical models from observational data is important in bioinformatics and other computational fields applying network reconstruction methods to large, yet finite datasets. The main network reconstruction approaches are either based on Bayesian scores, which enable the ranking...

journal_title：BMC bioinformatics

authors： Affeldt S,Verny L,Isambert H

更新日期：2016-01-20 00:00:00

abstract：BACKGROUND:DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-scale DNA methylation analysis to identify informative DNA methylation biomarkers. The identification of disease-specific methylation signatures ...

journal_title：BMC bioinformatics

authors： Meng H,Murrelle EL,Li G

更新日期：2008-10-27 00:00:00

abstract：BACKGROUND:Many of solved tertiary structures of unknown functions do not have global sequence and structural similarities to proteins of known function. Often functional clues of unknown proteins can be obtained by predicting small ligand molecules that bind to the proteins. METHODS:In our previous work, we have deve...

journal_title：BMC bioinformatics

authors： Sael L,Kihara D

更新日期：2012-03-13 00:00:00

abstract：BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

journal_title：BMC bioinformatics

authors： Jo Y,Kim S,Lee D

更新日期：2018-06-13 00:00:00

abstract：BACKGROUND:Eisenia fetida, commonly known as red wiggler or compost worm, belongs to the Lumbricidae family of the Annelida phylum. Little is known about its genome sequence although it has been extensively used as a test organism in terrestrial ecotoxicology. In order to understand its gene expression response to envi...

journal_title：BMC bioinformatics

authors： Pirooznia M,Gong P,Guan X,Inouye LS,Yang K,Perkins EJ,Deng Y

更新日期：2007-11-01 00:00:00

abstract：BACKGROUND:There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, such as SSU rRNA gene sequences, now plays a more prominent role in microbial systematics than does phenotypic information. However, the integrat...

journal_title：BMC bioinformatics

authors： Tanaka N,Uchino M,Miyazaki S,Sugawara H

更新日期：2007-08-02 00:00:00

abstract：UNLABELLED: BACKGROUND:Acquiring and exploring whole genome sequence information for a species under investigation is now a routine experimental approach. On most genome browsers, typically, only the DNA sequence, EST support, motif search results, and GO annotations are displayed. However, for many species, a growing...

journal_title：BMC bioinformatics

authors： Antoniw J,Beacham AM,Baldwin TK,Urban M,Rudd JJ,Hammond-Kosack KE

更新日期：2011-11-15 00:00:00

abstract：BACKGROUND:Inferring molecular pathway activity is an important step towards reducing the complexity of genomic data, understanding the heterogeneity in clinical outcome, and obtaining molecular correlates of cancer imaging traits. Increasingly, approaches towards pathway activity inference combine molecular profiles (...

journal_title：BMC bioinformatics

authors： Jiao Y,Lawler K,Patel GS,Purushotham A,Jones AF,Grigoriadis A,Tutt A,Ng T,Teschendorff AE

更新日期：2011-10-19 00:00:00

abstract：BACKGROUND:Although many genomic features have been used in the prediction of protein-protein interactions (PPIs), frequently only one is used in a computational method. After realizing the limited power in the prediction using only one genomic feature, investigators are now moving toward integration. So far, there hav...

journal_title：BMC bioinformatics

authors： Sun J,Sun Y,Ding G,Liu Q,Wang C,He Y,Shi T,Li Y,Zhao Z

更新日期：2007-10-26 00:00:00

abstract：BACKGROUND:Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investigated to be precisely modeled and virtual experiments to be performed in silico. Such experiments may result in easier, faster, and satisfying a...

journal_title：BMC bioinformatics

authors： Bracciali A,Brunelli M,Cataldo E,Degano P

更新日期：2008-04-25 00:00:00

abstract：BACKGROUND:N-linked protein glycosylation plays an important role in various biological processes, including protein folding and trafficking, and cell adhesion and signaling. The acquisition of a novel N-glycosylation site may have significant effect on protein structure and function, and therefore, on the phenotype. ...

journal_title：BMC bioinformatics

authors： Kim DS,Hahn Y

更新日期：2015-01-28 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:The double-cut-and-join (DCJ) is a model that is able to efficiently sort a genome into another, generalizing the typical mutations (inversions, fusions, fissions, translocations) to which genomes are subject, but allowing the existence of circular chromosomes at the intermediate steps. In the general model ...

journal_title：BMC bioinformatics

authors： da Silva PH,Machado R,Dantas S,Braga MD

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Microarrays permit biologists to simultaneously measure the mRNA abundance of thousands of genes. An important issue facing investigators planning microarray experiments is how to estimate the sample size required for good statistical power. What is the projected sample size or number of replicate chips need...

journal_title：BMC bioinformatics

authors： Page GP,Edwards JW,Gadbury GL,Yelisetti P,Wang J,Trivedi P,Allison DB

更新日期：2006-02-22 00:00:00

abstract：BACKGROUND:Determining a suitable sample size is an important step in the planning of microarray experiments. Increasing the number of arrays gives more statistical power, but adds to the total cost of the experiment. Several approaches for sample size determination have been developed for expression array studies, but...

journal_title：BMC bioinformatics

authors： Scheinin I,Ferreira JA,Knuutila S,Meijer GA,van de Wiel MA,Ylstra B

更新日期：2010-06-17 00:00:00

abstract：BACKGROUND:The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caeno...

journal_title：BMC bioinformatics

authors： Blei DM,Franks K,Jordan MI,Mian IS

更新日期：2006-05-08 00:00:00

abstract：BACKGROUND:Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches is finding a connected subnetwork of a global interaction network that best encompasses significant individual c...

journal_title：BMC bioinformatics

authors： Alexeev N,Isomurodov J,Sukhov V,Korotkevich G,Sergushichev A

更新日期：2020-11-18 00:00:00

abstract：BACKGROUND:Fluorescent and luminescent gene reporters allow us to dynamically quantify changes in molecular species concentration over time on the single cell level. The mathematical modeling of their interaction through multivariate dynamical models requires the development of effective statistical methods to calibrat...

journal_title：BMC bioinformatics

authors： Komorowski M,Finkenstädt B,Harper CV,Rand DA

更新日期：2009-10-19 00:00:00

abstract：BACKGROUND:Bioinformatics software quality assurance is essential in genomic medicine. Systematic verification and validation of bioinformatics software is difficult because it is often not possible to obtain a realistic "gold standard" for systematic evaluation. Here we apply a technique that originates from the softw...

journal_title：BMC bioinformatics

authors： Giannoulatou E,Park SH,Humphreys DT,Ho JW

更新日期：2014-01-01 00:00:00