Statistical significance of quantitative PCR.

abstract：BACKGROUND:FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows complex scenarios of selection, demography, and recombination to be modelled simultaneously. Detailed tracking of sites under selection is im...

journal_title：BMC bioinformatics

authors： Chadeau-Hyam M,Hoggart CJ,O'Reilly PF,Whittaker JC,De Iorio M,Balding DJ

更新日期：2008-09-08 00:00:00

abstract：BACKGROUND:Transcription factor binding sites (TFBSs) are crucial in the regulation of gene transcription. Recently, chromatin immunoprecipitation followed by cDNA microarray hybridization (ChIP-chip array) has been used to identify potential regulatory sequences, but the procedure can only map the probable protein-DNA...

journal_title：BMC bioinformatics

authors： Lu CC,Yuan WH,Chen TM

更新日期：2008-12-12 00:00:00

abstract：BACKGROUND:Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative and acid fast gram positive), mitochondria and chloroplasts. Despite recent publications describing reasonable levels of accuracy for discrimin...

journal_title：BMC bioinformatics

authors： Garrow AG,Agnew A,Westhead DR

更新日期：2005-03-15 00:00:00

abstract：BACKGROUND:Virtual screening methods start to be well established as effective approaches to identify hits, candidates and leads for drug discovery research. Among those, structure based virtual screening (SBVS) approaches aim at docking collections of small compounds in the target structure to identify potent compound...

journal_title：BMC bioinformatics

authors： Le Guilloux V,Schmidtke P,Tuffery P

更新日期：2009-06-02 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:The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST clustering, the process of grouping of original fragments according to their annotation, similarity to known genomic DNA or each other. Cluste...

journal_title：BMC bioinformatics

authors： Ptitsyn A,Hide W

更新日期：2005-07-15 00:00:00

abstract：BACKGROUND:One of the greatest challenges in Metabolic Engineering is to develop quantitative models and algorithms to identify a set of genetic manipulations that will result in a microbial strain with a desirable metabolic phenotype which typically means having a high yield/productivity. This challenge is not only du...

journal_title：BMC bioinformatics

authors： Rocha M,Maia P,Mendes R,Pinto JP,Ferreira EC,Nielsen J,Patil KR,Rocha I

更新日期：2008-11-27 00:00:00

abstract：BACKGROUND:To understand biology and differences among various tissues or cell types, one typically searches for molecular features that display characteristic abundance patterns. Several specificity metrics have been introduced to identify tissue-specific molecular features, but these either require an equal number of...

journal_title：BMC bioinformatics

authors： Everaert C,Volders PJ,Morlion A,Thas O,Mestdagh P

更新日期：2020-02-17 00:00:00

abstract：BACKGROUND:Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright ...

journal_title：BMC bioinformatics

authors： Prlić A,Martinez MA,Dimitropoulos D,Beran B,Yukich BT,Rose PW,Bourne PE,Fink JL

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conserved substrate-determining residues in the kinase catalytic domain that contact the substrate in the region of the phosphorylation site and so ...

journal_title：BMC bioinformatics

authors： Saunders NF,Brinkworth RI,Huber T,Kemp BE,Kobe B

更新日期：2008-05-26 00:00:00

abstract：BACKGROUND:The rapid pace of bioscience research makes it very challenging to track relevant articles in one's area of interest. MEDLINE, a primary source for biomedical literature, offers access to more than 20 million citations with three-quarters of a million new ones added each year. Thus it is not surprising to se...

journal_title：BMC bioinformatics

authors： Srinivasan P,Zhang XN,Bouten R,Chang C

更新日期：2015-06-20 00:00:00

abstract：BACKGROUND:Somatic copy number alternation (SCNA) is a common feature of the cancer genome and is associated with cancer etiology and prognosis. The allele-specific SCNA analysis of a tumor sample aims to identify the allele-specific copy numbers of both alleles, adjusting for the ploidy and the tumor purity. Next gene...

journal_title：BMC bioinformatics

authors： Choo-Wosoba H,Albert PS,Zhu B

更新日期：2018-11-14 00:00:00

abstract：:Selected reaction monitoring (SRM)-based proteomics approaches enable highly sensitive and reproducible assays for profiling of thousands of peptides in one experiment. The development of such assays involves the determination of retention time, detectability and fragmentation properties of peptides, followed by an op...

journal_title：BMC bioinformatics

authors： Nahnsen S,Kohlbacher O

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Whereas sequencing technologies have advanced immensely in recent years, there are no matching computational methodologies for large-scale determina...

journal_title：BMC bioinformatics

authors： Portugaly E,Harel A,Linial N,Linial M

更新日期：2006-06-02 00:00:00

abstract：BACKGROUND:Since RNA molecules regulate genes and control alternative splicing by allostery, it is important to develop algorithms to predict RNA conformational switches. Some tools, such as paRNAss, RNAshapes and RNAbor, can be used to predict potential conformational switches; nevertheless, no existent tool can detec...

journal_title：BMC bioinformatics

authors： Clote P,Lou F,Lorenz WA

更新日期：2012-04-12 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:Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A variety of scores are available today but it is not clear how different scores relate to each other. RESULTS:We applied 25 conservation and v...

journal_title：BMC bioinformatics

authors： Johansson F,Toh H

更新日期：2010-07-21 00:00:00

abstract：BACKGROUND:Researchers involved in the annotation of large numbers of gene, clone or protein identifiers are usually required to perform a one-by-one conversion for each identifier. When the field of research is one such as microarray experiments, this number may be around 30,000. RESULTS:To help researchers map acces...

journal_title：BMC bioinformatics

authors： Alibés A,Yankilevich P,Cañada A,Díaz-Uriarte R

更新日期：2007-01-10 00:00:00

abstract：BACKGROUND:The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex diseases. Replication-based analysis, which considers data from each stage separately, often suffers from loss of efficiency. Joint test that co...

journal_title：BMC bioinformatics

authors： Pan D,Li Q,Jiang N,Liu A,Yu K

更新日期：2011-01-07 00:00:00

abstract：BACKGROUND:To identify and prioritize the influential hub genes in a gene-set or biological pathway, most analyses rely on calculation of marginal effects or tests of statistical significance. These procedures may be inappropriate since hub nodes are common connection points and therefore may interact with other nodes ...

journal_title：BMC bioinformatics

authors： Chang HC,Chu CP,Lin SJ,Hsiao CK

更新日期：2020-03-12 00:00:00

abstract：BACKGROUND:Reference genome assemblies are valuable, as they provide insights into gene content, genetic evolution and domestication. The higher the quality of a reference genome assembly the more accurate the downstream analysis will be. During the last few years, major efforts have been made towards improving the qua...

journal_title：BMC bioinformatics

authors： Yuan Y,Bayer PE,Scheben A,Chan CK,Edwards D

更新日期：2017-06-30 00:00:00

abstract：BACKGROUND:The increasing availability of Electronic Health Record (EHR) data and specifically free-text patient notes presents opportunities for phenotype extraction. Text-mining methods in particular can help disease modeling by mapping named-entities mentions to terminologies and clustering semantically related term...

journal_title：BMC bioinformatics

authors： Cohen R,Elhadad M,Elhadad N

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:Molecular signatures are sets of genes, proteins, genetic variants or other variables that can be used as markers for a particular phenotype. Reliable signature discovery methods could yield valuable insight into cell biology and mechanisms of human disease. However, it is currently not clear how to control ...

journal_title：BMC bioinformatics

authors： Nilsson R,Björkegren J,Tegnér J

更新日期：2009-01-29 00:00:00

abstract：BACKGROUND:The challenge of classifying cortical interneurons is yet to be solved. Data-driven classification into established morphological types may provide insight and practical value. RESULTS:We trained models using 217 high-quality morphologies of rat somatosensory neocortex interneurons reconstructed by a single...

journal_title：BMC bioinformatics

authors： Mihaljević B,Larrañaga P,Benavides-Piccione R,Hill S,DeFelipe J,Bielza C

更新日期：2018-12-17 00:00:00

abstract：BACKGROUND:Time course microarray profiles examine the expression of genes over a time domain. They are necessary in order to determine the complete set of genes that are dynamically expressed under given conditions, and to determine the interaction between these genes. Because of cost and resource issues, most time se...

journal_title：BMC bioinformatics

authors： Sinha A,Markatou M

更新日期：2011-01-11 00:00:00

abstract：BACKGROUND:In recent times, there has been an exponential rise in the number of protein structures in databases e.g. PDB. So, design of fast algorithms capable of querying such databases is becoming an increasingly important research issue. This paper reports an algorithm, motivated from spectral graph matching techniq...

journal_title：BMC bioinformatics

authors： Bhattacharya S,Bhattacharyya C,Chandra NR

更新日期：2006-12-18 00:00:00

abstract：BACKGROUND:Complex microarray gene expression datasets can be used for many independent analyses and are particularly interesting for the validation of potential biomarkers and multi-gene classifiers. This article presents a novel method to perform correlations between microarray gene expression data and clinico-pathol...

journal_title：BMC bioinformatics

authors： Corradi L,Mirisola V,Porro I,Torterolo L,Fato M,Romano P,Pfeffer U

更新日期：2009-10-15 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:Profile-based comparison of multiple sequence alignments is a powerful methodology for the detection remote protein sequence similarity, which is essential for the inference and analysis of protein structure, function, and evolution. Accurate estimation of statistical significance of detected profile similar...

journal_title：BMC bioinformatics

authors： Sadreyev RI,Wang Y,Grishin NV

更新日期：2009-12-04 00:00:00

abstract：BACKGROUND:Glycation is a one of the post-translational modifications (PTM) where sugar molecules and residues in protein sequences are covalently bonded. It has become one of the clinically important PTM in recent times attributed to many chronic and age related complications. Being a non-enzymatic reaction, it is a g...

journal_title：BMC bioinformatics

authors： Reddy HM,Sharma A,Dehzangi A,Shigemizu D,Chandra AA,Tsunoda T

更新日期：2019-02-04 00:00:00