VKCDB: voltage-gated potassium channel database.

abstract：BACKGROUND:Interpretation of quantitative metagenomics data is important for our understanding of ecosystem functioning and assessing differences between various environmental samples. There is a need for an easy to use tool to explore the often complex metagenomics data in taxonomic and functional context. RESULTS:He...

journal_title：BMC bioinformatics

authors： Sanli K,Karlsson FH,Nookaew I,Nielsen J

更新日期：2013-02-01 00:00:00

abstract：BACKGROUND:When constructing new biomarker or gene signature scores for time-to-event outcomes, the underlying aims are to develop a discrimination model that helps to predict whether patients have a poor or good prognosis and to identify the most influential variables for this task. In practice, this is often done fit...

journal_title：BMC bioinformatics

authors： Mayr A,Hofner B,Schmid M

更新日期：2016-07-22 00:00:00

abstract：BACKGROUND:A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for ...

journal_title：BMC bioinformatics

authors： Bertolazzi P,Guerra C,Liuzzi G

更新日期：2010-09-29 00:00:00

abstract：BACKGROUND:It is now well established that nearly 20% of human cancers are caused by infectious agents, and the list of human oncogenic pathogens will grow in the future for a variety of cancer types. Whole tumor transcriptome and genome sequencing by next-generation sequencing technologies presents an unparalleled opp...

journal_title：BMC bioinformatics

authors： Borozan I,Wilson S,Blanchette P,Laflamme P,Watt SN,Krzyzanowski PM,Sircoulomb F,Rottapel R,Branton PE,Ferretti V

更新日期：2012-08-17 00:00:00

abstract：BACKGROUND:Despite the widespread use of high throughput expression platforms and the availability of a desktop implementation of Gene Set Enrichment Analysis (GSEA) that enables non-experts to perform gene set based analyses, the availability of the necessary precompiled gene sets is rare for species other than human....

journal_title：BMC bioinformatics

authors： Powell JA

更新日期：2014-05-17 00:00:00

abstract：BACKGROUND:A phylogeny is the evolutionary history of a group of organisms. To date, sequence data is still the most used data type for phylogenetic reconstruction. Before any sequences can be used for phylogeny reconstruction, they must be aligned, and the quality of the multiple sequence alignment has been shown to a...

journal_title：BMC bioinformatics

authors： Yue F,Shi J,Tang J

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:The field of protein sequence analysis is dominated by tools rooted in substitution matrices and alignments. A complementary approach is provided by methods of quantitative characterization. A major advantage of the approach is that quantitative properties defines a multidimensional solution space, where seq...

journal_title：BMC bioinformatics

authors： Konopka BM,Marciniak M,Dyrka W

更新日期：2017-07-17 00:00:00

abstract：BACKGROUND:Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods. RESULTS:On the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network ...

journal_title：BMC bioinformatics

authors： Schoenrock A,Samanfar B,Pitre S,Hooshyar M,Jin K,Phillips CA,Wang H,Phanse S,Omidi K,Gui Y,Alamgir M,Wong A,Barrenäs F,Babu M,Benson M,Langston MA,Green JR,Dehne F,Golshani A

更新日期：2014-12-10 00:00:00

abstract：BACKGROUND:Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central aspects graphically in an intuitively understandable way. RESULTS:We present a visualization method that incorporates both emission and transi...

journal_title：BMC bioinformatics

authors： Schuster-Böckler B,Schultz J,Rahmann S

更新日期：2004-01-21 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:Identifying key components in biological processes and their associations is critical for deciphering cellular functions. Recently, numerous gene expression and molecular interaction experiments have been reported in Saccharomyces cerevisiae, and these have enabled systematic studies. Although a number of ap...

journal_title：BMC bioinformatics

authors： Hsu JT,Peng CH,Hsieh WP,Lan CY,Tang CY

更新日期：2011-07-12 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:Analyzing the amino acid sequence of an intrinsically disordered protein (IDP) in an evolutionary context can yield novel insights on the functional role of disordered regions and sequence element(s). However, in the case of many IDPs, the lack of evolutionary conservation of the primary sequence can hamper ...

journal_title：BMC bioinformatics

authors： Varadi M,Guharoy M,Zsolyomi F,Tompa P

更新日期：2015-05-13 00:00:00

abstract：BACKGROUND:Clustering of unannotated transcripts is an important task to identify novel families of noncoding RNAs (ncRNAs). Several hierarchical clustering methods have been developed using similarity measures based on the scores of structural alignment. However, the high computational cost of exact structural alignme...

journal_title：BMC bioinformatics

authors： Saito Y,Sato K,Sakakibara Y

更新日期：2011-02-15 00:00:00

abstract：BACKGROUND:Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and never with the control provided by simulation analysis. This study ...

journal_title：BMC bioinformatics

authors： Rosenberg MS

更新日期：2005-11-23 00:00:00

abstract：BACKGROUND:Understanding the relationship between the protein sequence and the 3D structure is a major research area in bioinformatics. The prediction of complete protein tertiary structure based only on sequence information is still an impractical work. This paper aims at revealing the hidden knowledge of the sequence...

journal_title：BMC bioinformatics

authors： Chen B,Johnson M

更新日期：2009-10-08 00:00:00

abstract：BACKGROUND:Population stratification is a systematic difference in allele frequencies between subpopulations. This can lead to spurious association findings in the case-control genome wide association studies (GWASs) used to identify single nucleotide polymorphisms (SNPs) associated with disease-linked phenotypes. Meth...

journal_title：BMC bioinformatics

authors： Hajiloo M,Sapkota Y,Mackey JR,Robson P,Greiner R,Damaraju S

更新日期：2013-02-22 00:00:00

abstract：BACKGROUND:Pattern matching is the core of bioinformatics; it is used in database searching, restriction enzyme mapping, and finding open reading frames. It is done repeatedly over increasingly long sequences, thus codes must be efficient and insensitive to sequence length. Such patterns of interest include simple moti...

journal_title：BMC bioinformatics

authors： Mangalam HJ

更新日期：2002-01-01 00:00:00

abstract：BACKGROUND:The Distributed Annotation System (DAS) allows merging of DNA sequence annotations from multiple sources and provides a single annotation view. A straightforward way to establish a DAS annotation server is to use the "Lightweight DAS" server (LDAS). Onto this type of server, annotations can be uploaded as fl...

journal_title：BMC bioinformatics

authors： Negre V,Grunau C

更新日期：2004-05-07 00:00:00

abstract：BACKGROUND:Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect...

journal_title：BMC bioinformatics

authors： Bauer-Mehren A,Furlong LI,Rautschka M,Sanz F

更新日期：2009-08-27 00:00:00

abstract：BACKGROUND:High-throughput sequencing has rapidly become an essential part of precision cancer medicine. But validating results obtained from analyzing and interpreting genomic data remains a rate-limiting factor. The gold standard, of course, remains manual validation by expert panels, which is not without its weaknes...

journal_title：BMC bioinformatics

authors： Bian X,Zhu B,Wang M,Hu Y,Chen Q,Nguyen C,Hicks B,Meerzaman D

更新日期：2018-11-19 00:00:00

abstract：BACKGROUND:The NTF2-like superfamily is a versatile group of protein domains sharing a common fold. The sequences of these domains are very diverse and they share no common sequence motif. These domains serve a range of different functions within the proteins in which they are found, including both catalytic and non-ca...

journal_title：BMC bioinformatics

authors： Eberhardt RY,Chang Y,Bateman A,Murzin AG,Axelrod HL,Hwang WC,Aravind L

更新日期：2013-11-19 00:00:00

abstract：BACKGROUND:Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all maj...

journal_title：BMC bioinformatics

authors： Chebira A,Barbotin Y,Jackson C,Merryman T,Srinivasa G,Murphy RF,Kovacević J

更新日期：2007-06-19 00:00:00

abstract：BACKGROUND:Affymetrix microarrays are used by many laboratories to generate gene expression profiles. Generally, only large differences (> 1.7-fold) between conditions have been reported. Computational methods to reduce inter-array variability might be of value when attempting to detect smaller differences. We examined...

journal_title：BMC bioinformatics

authors： Welle S,Brooks AI,Thornton CA

更新日期：2002-08-30 00:00:00

abstract：BACKGROUND:Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously reported function annotation methods are of limited utility for fungal protein annotation. They are often trained only to one species, are not a...

journal_title：BMC bioinformatics

authors： Jung J,Yi G,Sukno SA,Thon MR

更新日期：2010-04-29 00:00:00

abstract：BACKGROUND:In microarray data analysis, factors such as data quality, biological variation, and the increasingly multi-layered nature of more complex biological systems complicates the modelling of regulatory networks that can represent and capture the interactions among genes. We believe that the use of multiple datas...

journal_title：BMC bioinformatics

authors： Anvar SY,'t Hoen PA,Tucker A

更新日期：2010-01-15 00:00:00

abstract：BACKGROUND:Biomedical research projects deal with data management requirements from multiple sources like funding agencies' guidelines, publisher policies, discipline best practices, and their own users' needs. We describe functional and quality requirements based on many years of experience implementing data managemen...

journal_title：BMC bioinformatics

authors： Suhr M,Lehmann C,Bauer CR,Bender T,Knopp C,Freckmann L,Öst Hansen B,Henke C,Aschenbrandt G,Kühlborn LK,Rheinländer S,Weber L,Marzec B,Hellkamp M,Wieder P,Sax U,Kusch H,Nussbeck SY

更新日期：2020-12-17 00:00:00

abstract：BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

journal_title：BMC bioinformatics

authors： Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

更新日期：2010-11-29 00:00:00

abstract：BACKGROUND:Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular Recognition Features (MoRFs) are functional regions within IDPs that undergo a disorder-to-order transition on binding to a partner protein. Identifying MoRFs i...

journal_title：BMC bioinformatics

authors： Sharma R,Kumar S,Tsunoda T,Patil A,Sharma A

更新日期：2016-12-22 00:00:00

abstract：BACKGROUND:Designing small-molecule kinase inhibitors with desirable selectivity profiles is a major challenge in drug discovery. A high-throughput screen for inhibitors of a given kinase will typically yield many compounds that inhibit more than one kinase. A series of chemical modifications are usually required befor...

journal_title：BMC bioinformatics

authors： Caffrey DR,Lunney EA,Moshinsky DJ

更新日期：2008-11-25 00:00:00