A new pooling strategy for high-throughput screening: the Shifted Transversal Design.

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: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:While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step towards more accurate text-mining lies in the ability to identify and characterize text that satisfies various types of information needs. We rep...

journal_title：BMC bioinformatics

authors： Wilbur WJ,Rzhetsky A,Shatkay H

更新日期：2006-07-25 00:00:00

abstract：BACKGROUND:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

journal_title：BMC bioinformatics

authors： Chung NC,Miasojedow B,Startek M,Gambin A

更新日期：2019-12-24 00:00:00

abstract：BACKGROUND:The imputation of missing values is necessary for the efficient use of DNA microarray data, because many clustering algorithms and some statistical analysis require a complete data set. A few imputation methods for DNA microarray data have been introduced, but the efficiency of the methods was low and the va...

journal_title：BMC bioinformatics

authors： Kim KY,Kim BJ,Yi GS

更新日期：2004-10-26 00:00:00

abstract：BACKGROUND:Evolutionary genomics requires management and filtering of large numbers of diverse genomic sequences for accurate analysis and inference on evolutionary processes of genomic and functional change. We developed Evolutionary Genomics and Biodiversity (EGenBio; http://egenbio.lsu.edu) to begin to address this....

journal_title：BMC bioinformatics

authors： Nahum LA,Reynolds MT,Wang ZO,Faith JJ,Jonna R,Jiang ZJ,Meyer TJ,Pollock DD

更新日期：2006-09-06 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:Interaction of a drug or chemical with a biological system can result in a gene-expression profile or signature characteristic of the event. Using a suitably robust algorithm these signatures can potentially be used to connect molecules with similar pharmacological or toxicological properties by gene express...

journal_title：BMC bioinformatics

authors： Zhang SD,Gant TW

更新日期：2008-06-02 00:00:00

abstract：BACKGROUND:Continuous enzyme kinetic assays are often used in high-throughput applications, as they allow rapid acquisition of large amounts of kinetic data and increased confidence compared to discontinuous assays. However, data analysis is often rate-limiting in high-throughput enzyme assays, as manual inspection and...

journal_title：BMC bioinformatics

authors： Olp MD,Kalous KS,Smith BC

更新日期：2020-05-14 00:00:00

abstract：BACKGROUND:Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there exists a large number of pot...

journal_title：BMC bioinformatics

authors： Che D,Guo S,Jiang Q,Chen L

更新日期：2020-07-14 00:00:00

abstract：BACKGROUND:Identification of causal SNPs in most genome wide association studies relies on approaches that consider each SNP individually. However, there is a strong correlation structure among SNPs that needs to be taken into account. Hence, increasingly modern computationally expensive regression methods are employed...

journal_title：BMC bioinformatics

authors： Zuber V,Duarte Silva AP,Strimmer K

更新日期：2012-10-31 00:00:00

abstract：BACKGROUND:Analysis of expression quantitative trait loci (eQTL) aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge o...

journal_title：BMC bioinformatics

authors： Wang W,Zhang X

更新日期：2011-06-30 00:00:00

abstract：BACKGROUND:In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a significant difference in location parameters from zero or one for ratios thereof for each variable. However, in some studies a significant deviat...

journal_title：BMC bioinformatics

authors： Frömke C,Hothorn LA,Kropf S

更新日期：2008-01-27 00:00:00

abstract：BACKGROUND:Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by ...

journal_title：BMC bioinformatics

authors： Memarian N,Jessulat M,Alirezaie J,Mir-Rashed N,Xu J,Zareie M,Smith M,Golshani A

更新日期：2007-04-04 00:00:00

abstract：BACKGROUND:DNA microarrays offer motivation and hope for the simultaneous study of variations in multiple genes. Gene expression is a temporal process that allows variations in expression levels with a characterized gene function over a period of time. Temporal gene expression curves can be treated as functional data s...

journal_title：BMC bioinformatics

authors： Kim J,Kim H

更新日期：2017-10-12 00:00:00

abstract：BACKGROUND:Lineage rate heterogeneity can be a major source of bias, especially in multi-gene phylogeny inference. We had previously tackled this issue by developing LS3, a data subselection algorithm that, by removing fast-evolving sequences in a gene-specific manner, identifies subsets of sequences that evolve at a r...

journal_title：BMC bioinformatics

authors： Rivera-Rivera CJ,Montoya-Burgos JI

更新日期：2019-08-13 00:00:00

abstract：BACKGROUND:The amount of scientific information about MicroRNAs (miRNAs) is growing exponentially, making it difficult for researchers to interpret experimental results. In this study, we present an automated text mining approach using Latent Semantic Indexing (LSI) for prioritization, clustering and functional annotat...

journal_title：BMC bioinformatics

authors： Roy S,Curry BC,Madahian B,Homayouni R

更新日期：2016-10-06 00:00:00

abstract：BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

journal_title：BMC bioinformatics

authors： Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

更新日期：2014-06-11 00:00:00

abstract：BACKGROUND:For many types of analyses, data about gene structure and locations of non-coding regions of genes are required. Although a vast amount of genomic sequence data is available, precise annotation of genes is lacking behind. Finding the corresponding gene of a given protein sequence by means of conventional too...

journal_title：BMC bioinformatics

authors： Keller O,Odronitz F,Stanke M,Kollmar M,Waack S

更新日期：2008-06-13 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：: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:A professional recognition mechanism is required to encourage expedited publishing of an adequate volume of 'fit-for-use' biodiversity data. As a component of such a recognition mechanism, we propose the development of the Data Usage Index (DUI) to demonstrate to data publishers that their efforts of creatin...

journal_title：BMC bioinformatics

authors： Ingwersen P,Chavan V

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Manual chemical data curation from publications is error-prone, time consuming, and hard to maintain up-to-date data sets. Automatic information extraction can be used as a tool to reduce these problems. Since chemical structures usually described in images, information extraction needs to combine structure ...

journal_title：BMC bioinformatics

authors： Tharatipyakul A,Numnark S,Wichadakul D,Ingsriswang S

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Linkage disequilibrium (LD)-the non-random association of alleles at different loci-defines population-specific haplotypes which vary by genomic ancestry. Assessment of allelic frequencies and LD patterns from a variety of ancestral populations enables researchers to better understand population histories as...

journal_title：BMC bioinformatics

authors： Alexander TA,Machiela MJ

更新日期：2020-01-10 00:00:00

abstract：BACKGROUND:During evolution, large-scale genome rearrangements of chromosomes shuffle the order of homologous genome sequences ("synteny blocks") across species. Some years ago, a controversy erupted in genome rearrangement studies over whether rearrangements recur, causing breakpoints to be reused. METHODS:We investi...

journal_title：BMC bioinformatics

authors： Attie O,Darling AE,Yancopoulos S

更新日期：2011-10-05 00:00:00

abstract：BACKGROUND:Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classi...

journal_title：BMC bioinformatics

authors： Chen JL,Liu Y,Sam LT,Li J,Lussier YA

更新日期：2007-05-09 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:Integrating data from multiple global assays and curated databases is essential to understand the spatio-temporal interactions within cells. Different experiments measure cellular processes at various widths and depths, while databases contain biological information based on established facts or published da...

journal_title：BMC bioinformatics

authors： Zhang Y,Xuan J,de los Reyes BG,Clarke R,Ressom HW

更新日期：2008-04-21 00:00:00

abstract：BACKGROUND:Identification of expression quantitative trait loci (eQTLs) is an emerging area in genomic study. The task requires an integrated analysis of genome-wide single nucleotide polymorphism (SNP) data and gene expression data, raising a new computational challenge due to the tremendous size of data. RESULTS:We ...

journal_title：BMC bioinformatics

authors： Chang HH,McGeachie M,Alterovitz G,Ramoni MF

更新日期：2010-10-28 00:00:00

abstract：BACKGROUND:MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normalization procedure based on a non-linear mixed-model, as well as a new approach for determining the statistical significance of altered probes ba...

journal_title：BMC bioinformatics

authors： González JR,Carrasco JL,Armengol L,Villatoro S,Jover L,Yasui Y,Estivill X

更新日期：2008-06-04 00:00:00