A novel statistical approach for identification of the master regulator transcription factor.

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most abundant genetic variant found in vertebrates and invertebrates. SNP discovery has become a highly automated, robust and relatively inexpensive process allowing the identification of many thousands of mutations for model and non-model organisms. Annotating ...

journal_title：BMC bioinformatics

authors： Doran AG,Creevey CJ

更新日期：2013-02-08 00:00:00

abstract：BACKGROUND:A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematically prioritize both variants and genes that confer susceptibility to mental diseases in personal gen...

journal_title：BMC bioinformatics

authors： Khan A,Liu Q,Wang K

更新日期：2018-12-28 00:00:00

abstract：BACKGROUND:Aiming to understand cellular responses to different perturbations, the NIH Common Fund Library of Integrated Network-based Cellular Signatures (LINCS) program involves many institutes and laboratories working on over a thousand cell lines. The community-based Cell Line Ontology (CLO) is selected as the defa...

journal_title：BMC bioinformatics

authors： Ong E,Xie J,Ni Z,Liu Q,Sarntivijai S,Lin Y,Cooper D,Terryn R,Stathias V,Chung C,Schürer S,He Y

更新日期：2017-12-21 00:00:00

abstract：BACKGROUND:Network enrichment analysis is a powerful method, which allows to integrate gene enrichment analysis with the information on relationships between genes that is provided by gene networks. Existing tests for network enrichment analysis deal only with undirected networks, they can be computationally slow and a...

journal_title：BMC bioinformatics

authors： Signorelli M,Vinciotti V,Wit EC

更新日期：2016-09-05 00:00:00

abstract：BACKGROUND:The secondary structure of RNA molecules is intimately related to their function and often more conserved than the sequence. Hence, the important task of searching databases for RNAs requires to match sequence-structure patterns. Unfortunately, current tools for this task have, in the best case, a running ti...

journal_title：BMC bioinformatics

authors： Meyer F,Kurtz S,Backofen R,Will S,Beckstette M

更新日期：2011-05-27 00:00:00

abstract：BACKGROUND:In the last decade, techniques were established for the large scale genome-wide analysis of proteins, RNA, and metabolites, and database solutions have been developed to manage the generated data sets. The Golm Metabolome Database for metabolite data (GMD) represents one such effort to make these data broadl...

journal_title：BMC bioinformatics

authors： Hummel J,Niemann M,Wienkoop S,Schulze W,Steinhauser D,Selbig J,Walther D,Weckwerth W

更新日期：2007-06-23 00:00:00

abstract：BACKGROUND:RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence o...

journal_title：BMC bioinformatics

authors： Li B,Dewey CN

更新日期：2011-08-04 00:00:00

abstract：BACKGROUND:Deep shotgun sequencing on next generation sequencing (NGS) platforms has contributed significant amounts of data to enrich our understanding of genomes, transcriptomes, amplified single-cell genomes, and metagenomes. However, deep coverage variations in short-read data sets and high sequencing error rates o...

journal_title：BMC bioinformatics

authors： McCorrison JM,Venepally P,Singh I,Fouts DE,Lasken RS,Methé BA

更新日期：2014-11-19 00:00:00

abstract：BACKGROUND:An increasing number of bioinformatics methods are considering the phylogenetic relationships between biological sequences. Implementing new methodologies using the maximum likelihood phylogenetic framework can be a time consuming task. RESULTS:The bioinformatics library libcov is a collection of C++ classe...

journal_title：BMC bioinformatics

authors： Butt D,Roger AJ,Blouin C

更新日期：2005-06-06 00:00:00

abstract：BACKGROUND:Single amino acid repeats make up a significant proportion in all of the proteomes that have currently been determined. They have been shown to be functionally and medically significant, and are associated with cancers and neuro-degenerative diseases such as Huntington's Chorea, where a poly-glutamine repeat...

journal_title：BMC bioinformatics

authors： Depledge DP,Dalby AR

更新日期：2005-08-03 00:00:00

abstract：BACKGROUND:Study on long non-coding RNAs (lncRNAs) has been promoted by high-throughput RNA sequencing (RNA-Seq). However, it is still not trivial to identify lncRNAs from the RNA-Seq data and it remains a challenge to uncover their functions. RESULTS:We present a computational pipeline for detecting novel lncRNAs fro...

journal_title：BMC bioinformatics

authors： Sun L,Zhang Z,Bailey TL,Perkins AC,Tallack MR,Xu Z,Liu H

更新日期：2012-12-13 00:00:00

abstract：BACKGROUND:Here we introduce the Protein Sequence Annotation Tool (PSAT), a web-based, sequence annotation meta-server for performing integrated, high-throughput, genome-wide sequence analyses. Our goals in building PSAT were to (1) create an extensible platform for integration of multiple sequence-based bioinformatics...

journal_title：BMC bioinformatics

authors： Leung E,Huang A,Cadag E,Montana A,Soliman JL,Zhou CL

更新日期：2016-01-20 00:00:00

abstract：BACKGROUND:Phylogenetic trees are an important tool to study the evolutionary relationships among organisms. The huge amount of available taxa poses difficulties in their interactive visualization. This hampers the interaction with the users to provide feedback for the further improvement of the taxonomic framework. R...

journal_title：BMC bioinformatics

authors： Beccati A,Gerken J,Quast C,Yilmaz P,Glöckner FO

更新日期：2017-09-30 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:Recently, revealing the function of proteins with protein-protein interaction (PPI) networks is regarded as one of important issues in bioinformatics. With the development of experimental methods such as the yeast two-hybrid method, the data of protein interaction have been increasing extremely. Many databas...

journal_title：BMC bioinformatics

authors： Monji H,Koizumi S,Ozaki T,Ohkawa T

更新日期：2011-02-15 00:00:00

abstract：BACKGROUND:Identification of homologous genes is fundamental to comparative genomics, functional genomics and phylogenomics. Extensive public homology databases are of great value for investigating homology but need to be continually updated to incorporate new sequences. As new sequences are rapidly being generated, th...

journal_title：BMC bioinformatics

authors： Sheikhizadeh Anari S,de Ridder D,Schranz ME,Smit S

更新日期：2018-09-26 00:00:00

abstract：BACKGROUND:T-cells are key players in regulating a specific immune response. Activation of cytotoxic T-cells requires recognition of specific peptides bound to Major Histocompatibility Complex (MHC) class I molecules. MHC-peptide complexes are potential tools for diagnosis and treatment of pathogens and cancer, as well...

journal_title：BMC bioinformatics

authors： Dönnes P,Elofsson A

更新日期：2002-09-11 00:00:00

abstract：BACKGROUND:Whole exome sequencing (WES) has become the strategy of choice to identify a coding allelic variant for a rare human monogenic disorder. This approach is a revolution in medical genetics history, impacting both fundamental research, and diagnostic methods leading to personalized medicine. A plethora of effic...

journal_title：BMC bioinformatics

authors： Coutant S,Cabot C,Lefebvre A,Léonard M,Prieur-Gaston E,Campion D,Lecroq T,Dauchel H

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Many methods for species tree inference require data from a sufficiently large sample of genomic loci in order to produce accurate estimates. However, few studies have attempted to use analytical theory to quantify "sufficiently large". RESULTS:Using the multispecies coalescent model, we report a general an...

journal_title：BMC bioinformatics

authors： Uricchio LH,Warnow T,Rosenberg NA

更新日期：2016-11-11 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: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:The scientific literature contains millions of microbial gene identifiers within the full text and tables, but these annotations rarely get incorporated into public sequence databases. We propose to utilize the Open Access (OA) subset of PubMed Central (PMC) as a gene annotation database and have developed a...

journal_title：BMC bioinformatics

authors： Stubben CJ,Challacombe JF

更新日期：2014-02-05 00:00:00

abstract：BACKGROUND:One of the major challenges in biology is the correct identification of promoter regions. Computational methods based on motif searching have been the traditional approach taken. Recent studies have shown that DNA structural properties, such as curvature, stacking energy, and stress-induced duplex destabiliz...

journal_title：BMC bioinformatics

authors： Bland C,Newsome AS,Markovets AA

更新日期：2010-10-07 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:Selecting a parsimonious set of informative genes to build highly generalized performance classifier is the most important task for the analysis of tumor microarray expression data. Many existing gene pair evaluation methods cannot highlight diverse patterns of gene pairs only used one strategy of vertical c...

journal_title：BMC bioinformatics

authors： Chen Y,Wang L,Li L,Zhang H,Yuan Z

更新日期：2016-01-20 00:00:00

abstract：BACKGROUND:For the development of genome assembly tools, some comprehensive and efficiently computable validation measures are required to assess the quality of the assembly. The mostly used N50 measure summarizes the assembly results by the length of the scaffold (or contig) overlapping the midpoint of the length-orde...

journal_title：BMC bioinformatics

authors： Mäkinen V,Salmela L,Ylinen J

更新日期：2012-10-03 00:00:00

abstract：:Many different approaches have been developed to model and simulate gene regulatory networks. We proposed the following categories for gene regulatory network models: network parts lists, network topology models, network control logic models, and dynamic models. Here we will describe some examples for each of these ca...

journal_title：BMC bioinformatics

authors： Schlitt T,Brazma A

更新日期：2007-09-27 00:00:00

abstract：BACKGROUND:The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray technology this enables researchers to gain insights into signaling pathways by observing downstream effects of individual knock-downs on gene ex...

journal_title：BMC bioinformatics

authors： Froehlich H,Fellmann M,Sueltmann H,Poustka A,Beissbarth T

更新日期：2007-10-15 00:00:00

abstract：BACKGROUND:Current network-based microarray analysis uses the information of interactions among concerned genes/gene products, but still considers each gene expression individually. We propose an organized knowledge-supervised approach - Integrative eXpression Profiling (IXP), to improve microarray classification accur...

journal_title：BMC bioinformatics

authors： Wu X,Huang H,Sonachalam M,Reinhard S,Shen J,Pandey R,Chen JY

更新日期：2012-03-13 00:00:00

abstract：BACKGROUND:miRNAs regulate the expression of several genes with one miRNA able to target multiple genes and with one gene able to be simultaneously targeted by more than one miRNA. Therefore, it has become indispensable to shorten the long list of miRNA-target interactions to put in the spotlight in order to gain insig...

journal_title：BMC bioinformatics

authors： Licursi V,Conte F,Fiscon G,Paci P

更新日期：2019-11-04 00:00:00