SHIVA - a web application for drug resistance and tropism testing in HIV.

abstract：BACKGROUND:A cross-correlation (XCorr) score function is one of the most popular score functions utilized to search peptide identifications in databases, and many computer programs, such as SEQUEST, Comet, and Tide, currently use this score function. Recently, the HiXCorr algorithm was developed to speed up this score ...

journal_title：BMC bioinformatics

authors： Kim H,Han S,Um JH,Park K

更新日期：2018-12-12 00:00:00

abstract：BACKGROUND:Protein-protein docking, which aims to predict the structure of a protein-protein complex from its unbound components, remains an unresolved challenge in structural bioinformatics. An important step is the ranking of docked poses using a scoring function, for which many methods have been developed. There is ...

journal_title：BMC bioinformatics

authors： Moal IH,Torchala M,Bates PA,Fernández-Recio J

更新日期：2013-10-01 00:00:00

abstract：BACKGROUND:Recently, the availability of high-resolution microscopy together with the advancements in the development of biomarkers as reporters of biomolecular interactions increased the importance of imaging methods in molecular cell biology. These techniques enable the investigation of cellular characteristics like ...

journal_title：BMC bioinformatics

authors： Stoma S,Fröhlich M,Gerber S,Klipp E

更新日期：2011-04-28 00:00:00

abstract：BACKGROUND:Determining differentially expressed genes (DEGs) between biological samples is the key to understand how genotype gives rise to phenotype. RNA-seq and microarray are two main technologies for profiling gene expression levels. However, considerable discrepancy has been found between DEGs detected using the t...

journal_title：BMC bioinformatics

authors： Lyu Y,Li Q

更新日期：2016-01-11 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:Many cancer genomes are extensively rearranged with highly aberrant chromosomal karyotypes. Structural and copy number variations in cancer genomes can be determined via abnormal mapping of sequenced reads to the reference genome. Recently it became possible to reconcile both of these types of large-scale va...

journal_title：BMC bioinformatics

authors： Aganezov S,Zban I,Aksenov V,Alexeev N,Schatz MC

更新日期：2019-12-17 00:00:00

abstract：BACKGROUND:Antibacterial peptides are important components of the innate immune system, used by the host to protect itself from different types of pathogenic bacteria. Over the last few decades, the search for new drugs and drug targets has prompted an interest in these antibacterial peptides. We analyzed 486 antibacte...

journal_title：BMC bioinformatics

authors： Lata S,Sharma BK,Raghava GP

更新日期：2007-07-23 00:00:00

abstract：BACKGROUND:Sequence mutations represent a driving force of adaptive evolution in bacterial pathogens. It is especially evident in reductive genome evolution where bacteria underwent lifestyles shifting from a free-living to a strictly intracellular or host-depending life. It resulted in loss-of-function mutations and/o...

journal_title：BMC bioinformatics

authors： Yu GX

更新日期：2009-01-30 00:00:00

abstract：BACKGROUND:The distance matrix computed from multiple alignments of homologous sequences is widely used by distance-based phylogenetic methods to provide information on the evolution of protein families. This matrix can also be visualized in a low dimensional space by metric multidimensional scaling (MDS). Applied to p...

journal_title：BMC bioinformatics

authors： Pelé J,Bécu JM,Abdi H,Chabbert M

更新日期：2012-06-15 00:00:00

abstract：BACKGROUND:Ensemble predictors such as the random forest are known to have superior accuracy but their black-box predictions are difficult to interpret. In contrast, a generalized linear model (GLM) is very interpretable especially when forward feature selection is used to construct the model. However, forward feature ...

journal_title：BMC bioinformatics

authors： Song L,Langfelder P,Horvath S

更新日期：2013-01-16 00:00:00

abstract：BACKGROUND:The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins. RESULTS:In the present work, individual cluste...

journal_title：BMC bioinformatics

authors： Sen TZ,Kloczkowski A,Jernigan RL

更新日期：2006-07-24 00:00:00

abstract：BACKGROUND:Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemblance, but rather by commonality of very specific morphological characters or similarity on the mole...

journal_title：BMC bioinformatics

authors： Seeland M,Rzanny M,Boho D,Wäldchen J,Mäder P

更新日期：2019-01-03 00:00:00

abstract：BACKGROUND:Several large-scale gene co-expression networks have been constructed successfully for predicting gene functional modules and cis-regulatory elements in Arabidopsis (Arabidopsis thaliana). However, these networks are usually constructed and analyzed in an ad hoc manner. In this study, we propose a completely...

journal_title：BMC bioinformatics

authors： Ruan J,Perez J,Hernandez B,Lei C,Sunter G,Sponsel VM

更新日期：2011-11-24 00:00:00

abstract：BACKGROUND:The adaptation of the CRISPR-Cas9 system to pooled library gene knockout screens in mammalian cells represents a major technological leap over RNA interference, the prior state of the art. New methods for analyzing the data and evaluating results are needed. RESULTS:We offer BAGEL (Bayesian Analysis of Gene...

journal_title：BMC bioinformatics

authors： Hart T,Moffat J

更新日期：2016-04-16 00:00:00

abstract：BACKGROUND:Meta-analysis (MA) is widely used to pool genome-wide association studies (GWASes) in order to a) increase the power to detect strong or weak genotype effects or b) as a result verification method. As a consequence of differing SNP panels among genotyping chips, imputation is the method of choice within GWAS...

journal_title：BMC bioinformatics

authors： Meesters C,Leber M,Herold C,Angisch M,Mattheisen M,Drichel D,Lacour A,Becker T

更新日期：2012-09-12 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:The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular interaction network database (BIND) seeks to capture these data in a machine-rea...

journal_title：BMC bioinformatics

authors： Donaldson I,Martin J,de Bruijn B,Wolting C,Lay V,Tuekam B,Zhang S,Baskin B,Bader GD,Michalickova K,Pawson T,Hogue CW

更新日期：2003-03-27 00:00:00

abstract：BACKGROUND:The application of high-throughput sequencing in a broad range of quantitative genomic assays (e.g., DNA-seq, ChIP-seq) has created a high demand for the analysis of large-scale read-count data. Typically, the genome is divided into tiling windows and windowed read-count data is generated for the entire geno...

journal_title：BMC bioinformatics

authors： Wang W,Sun W,Wang W,Szatkiewicz J

更新日期：2018-03-01 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: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:Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large fraction of zero value...

journal_title：BMC bioinformatics

authors： Li Y,Fan TWM,Lane AN,Kang WY,Arnold SM,Stromberg AJ,Wang C,Chen L

更新日期：2019-10-17 00:00:00

abstract：BACKGROUND:Pseudouridylation is the most prevalent type of posttranscriptional modification in various stable RNAs of all organisms, which significantly affects many cellular processes that are regulated by RNA. Thus, accurate identification of pseudouridine (Ψ) sites in RNA will be of great benefit for understanding t...

journal_title：BMC bioinformatics

authors： He J,Fang T,Zhang Z,Huang B,Zhu X,Xiong Y

更新日期：2018-08-29 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: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:Microevolution is the study of short-term changes of alleles within a population and their effects on the phenotype of organisms. The result of the below-species-level evolution is heterogeneity, where populations consist of subpopulations with a large number of structural variations. Heterogeneity analysis ...

journal_title：BMC bioinformatics

authors： Yu G

更新日期：2010-10-12 00:00:00

abstract：BACKGROUND:The landscape of biological and biomedical research is being changed rapidly with the invention of microarrays which enables simultaneous view on the transcription levels of a huge number of genes across different experimental conditions or time points. Using microarray data sets, clustering algorithms have ...

journal_title：BMC bioinformatics

authors： Maulik U,Mukhopadhyay A,Bandyopadhyay S

更新日期：2009-01-20 00:00:00

abstract：BACKGROUND:Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multiple genes working in networks that are often repre...

journal_title：BMC bioinformatics

authors： Li Z,Safo SE,Long Q

更新日期：2017-07-11 00:00:00

abstract：BACKGROUND:The development of high-throughput experimentation has led to astronomical growth in biologically relevant lipids and lipid derivatives identified, screened, and deposited in numerous online databases. Unfortunately, efforts to annotate, classify, and analyze these chemical entities have largely remained in ...

journal_title：BMC bioinformatics

authors： Chepelev LL,Riazanov A,Kouznetsov A,Low HS,Dumontier M,Baker CJ

更新日期：2011-07-26 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:Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm of cellular signaling. The development of families of such models, either by a single research group or by different groups working within the same area, presen...

journal_title：BMC bioinformatics

authors： Wenskovitch JE Jr,Harris LA,Tapia JJ,Faeder JR,Marai GE

更新日期：2014-09-25 00:00:00