Recodon: coalescent simulation of coding DNA sequences with recombination, migration and demography.

abstract：BACKGROUND:A rapidly increasing flow of genomic data requires the development of efficient methods for obtaining its compact representation. Feature extraction facilitates classification, clustering and model analysis for testing and refining biological hypotheses. "Shotgun" metagenome is an analytically challenging ty...

journal_title：BMC bioinformatics

authors： Dubinkina VB,Ischenko DS,Ulyantsev VI,Tyakht AV,Alexeev DG

更新日期：2016-01-16 00:00:00

abstract：BACKGROUND:Several features are known to correlate with the GC-content in the human genome, including recombination rate, gene density and distance to telomere. However, by testing for pairwise correlation only, it is impossible to distinguish direct associations from indirect ones and to distinguish between causes and...

journal_title：BMC bioinformatics

authors： Freudenberg J,Wang M,Yang Y,Li W

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to calculate the distance between the resulting values of each measure. Conventional phylogenetic analysis based on genomic sequences provides inf...

journal_title：BMC bioinformatics

authors： Oh SJ,Joung JG,Chang JH,Zhang BT

更新日期：2006-06-06 00:00:00

abstract：BACKGROUND:In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the...

journal_title：BMC bioinformatics

authors： Thompson JD,Muller A,Waterhouse A,Procter J,Barton GJ,Plewniak F,Poch O

更新日期：2006-06-23 00:00:00

abstract：BACKGROUND:In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the nodes and it will in general be necessary to account for these de...

journal_title：BMC bioinformatics

authors： Thorne T,Stumpf MP

更新日期：2007-11-30 00:00:00

abstract：BACKGROUND:T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherapies because they are relevant to a large proportion of the human population. The presence of clusters of promiscuous T-cell epitopes, immunolo...

journal_title：BMC bioinformatics

authors： Zhang GL,Khan AM,Srinivasan KN,Heiny A,Lee K,Kwoh CK,August JT,Brusic V

更新日期：2008-01-01 00:00:00

abstract：BACKGROUND:Analyses of molecular high-throughput data often lack in robustness, i.e. results are very sensitive to the addition or removal of a single observation. Therefore, the identification of extreme observations is an important step of quality control before doing further data analysis. Standard outlier detection...

journal_title：BMC bioinformatics

authors： Kruppa J,Jung K

更新日期：2017-05-02 00:00:00

abstract：BACKGROUND:Sequence comparison is one of the most prominent tools in biological research, and is instrumental in studying gene function and evolution. The rapid development of high-throughput technologies for measuring protein interactions calls for extending this fundamental operation to the level of pathways in prote...

journal_title：BMC bioinformatics

authors： Shlomi T,Segal D,Ruppin E,Sharan R

更新日期：2006-04-10 00:00:00

abstract：BACKGROUND:XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more scalable implementation would reduce the need for specialized computational resources and enable increased exploration of the configuration parame...

journal_title：BMC bioinformatics

authors： Linderman MD,Chia D,Wallace F,Nothaft FA

更新日期：2019-10-11 00:00:00

abstract：BACKGROUND:In omics data integration studies, it is common, for a variety of reasons, for some individuals to not be present in all data tables. Missing row values are challenging to deal with because most statistical methods cannot be directly applied to incomplete datasets. To overcome this issue, we propose a multip...

journal_title：BMC bioinformatics

authors： Voillet V,Besse P,Liaubet L,San Cristobal M,González I

更新日期：2016-10-03 00:00:00

abstract：BACKGROUND:Hidden variability is a fundamentally important issue in the context of gene expression studies. Collected tissue samples may have a wide variety of hidden effects that may alter their transcriptional landscape significantly. As a result their actual differential expression pattern can be potentially distort...

journal_title：BMC bioinformatics

authors： Chakraborty S,Datta S,Datta S

更新日期：2013-07-24 00:00:00

abstract：BACKGROUND:Enrichment analysis is a popular approach to identify pathways or sets of genes which are significantly enriched in the context of differentially expressed genes. The traditional gene set enrichment approach considers a pathway as a simple gene list disregarding any knowledge of gene or protein interactions....

journal_title：BMC bioinformatics

authors： Bayerlová M,Jung K,Kramer F,Klemm F,Bleckmann A,Beißbarth T

更新日期：2015-10-22 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: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:Recent increases in the number of deposited membrane protein crystal structures necessitate the use of automated computational tools to position them within the lipid bilayer. Identifying the correct orientation allows us to study the complex relationship between sequence, structure and the lipid environment...

journal_title：BMC bioinformatics

authors： Nugent T,Jones DT

更新日期：2013-09-18 00:00:00

abstract：BACKGROUND:An important mechanism of endocrine activity is chemicals entering target cells via transport proteins and then interacting with hormone receptors such as the estrogen receptor (ER). α-Fetoprotein (AFP) is a major transport protein in rodent serum that can bind and sequester estrogens, thus preventing entry ...

journal_title：BMC bioinformatics

authors： Shen J,Zhang W,Fang H,Perkins R,Tong W,Hong H

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Detecting patterns in high-dimensional multivariate datasets is non-trivial. Clustering and dimensionality reduction techniques often help in discerning inherent structures. In biological datasets such as microbial community composition or gene expression data, observations can be generated from a continuous...

journal_title：BMC bioinformatics

authors： Nguyen LH,Holmes S

更新日期：2017-09-13 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:Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sampling based technique for TFBS discovery is attempted through an approach that is widely known, but which has never been investigated before:...

journal_title：BMC bioinformatics

authors： Shida K

更新日期：2006-11-04 00:00:00

abstract：BACKGROUND:High-throughput sequencing can identify numerous potential genomic targets for microbial strain typing, but identification of the most informative combinations requires the use of computational screening tools. This paper describes novel software-- Automated Selection of Typing Target Subsets (AuSeTTS)--that...

journal_title：BMC bioinformatics

authors： O'Sullivan MV,Sintchenko V,Gilbert GL

更新日期：2013-05-01 00:00:00

abstract：BACKGROUND:One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used unsupervised deep learning to learn the hierarchical structure within cancer gene expression data. Deep...

journal_title：BMC bioinformatics

authors： Young JD,Cai C,Lu X

更新日期：2017-10-03 00:00:00

abstract：BACKGROUND:Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control measures for blood pressure diseases. Traditional blood pressure measure...

journal_title：BMC bioinformatics

authors： Zhang B,Ren H,Huang G,Cheng Y,Hu C

更新日期：2019-02-28 00:00:00

abstract：BACKGROUND:The ability to detect nuclei in embryos is essential for studying the development of multicellular organisms. A system of automated nuclear detection has already been tested on a set of four-dimensional (4D) Nomarski differential interference contrast (DIC) microscope images of Caenorhabditis elegans embryos...

journal_title：BMC bioinformatics

authors： Hamahashi S,Onami S,Kitano H

更新日期：2005-05-24 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

abstract：BACKGROUND:Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of histological subtypes and the prediction of clinical outcomes. However, the im...

journal_title：BMC bioinformatics

authors： Liu K,He L,Liu Z,Xu J,Liu Y,Kuang Q,Wen Z,Li M

更新日期：2017-12-28 00:00:00

abstract：BACKGROUND:As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on five microarray platforms. For most platforms, several different methods of data processing were considered. However, there was no similar consid...

journal_title：BMC bioinformatics

authors： Kerr KF

更新日期：2007-10-03 00:00:00

abstract：BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

journal_title：BMC bioinformatics

authors： Fang L,Hu J,Wang D,Wang K

更新日期：2018-05-23 00:00:00

abstract：BACKGROUND:This paper addresses the prediction of the free energy of binding of a drug candidate with enzyme InhA associated with Mycobacterium tuberculosis. This problem is found within rational drug design, where interactions between drug candidates and target proteins are verified through molecular docking simulatio...

journal_title：BMC bioinformatics

authors： Barros RC,Winck AT,Machado KS,Basgalupp MP,de Carvalho AC,Ruiz DD,de Souza ON

更新日期：2012-11-21 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:Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are based in two dimensional space. RESULTS:We introduce the idea of visualising phylogenetic trees in three dimensional hyperbolic space with the Wa...

journal_title：BMC bioinformatics

authors： Hughes T,Hyun Y,Liberles DA

更新日期：2004-04-29 00:00:00