NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery.

abstract：BACKGROUND:While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for ...

journal_title：BMC bioinformatics

authors： Atallah MB,Tandon V,Hiam KJ,Boyce H,Hori M,Atallah W,Spitzer MH,Engleman E,Mallick P

更新日期：2020-08-10 00:00:00

abstract：BACKGROUND:Relative isotope abundance quantification, which can be used for peptide identification and differential peptide quantification, plays an important role in liquid chromatography-mass spectrometry (LC-MS)-based proteomics. However, several major issues exist in the relative isotopic quantification of peptides...

journal_title：BMC bioinformatics

authors： Haskins WE,Petritis K,Zhang J

更新日期：2011-03-15 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:Collections of transcription factor binding profiles (Transfac, Jaspar) are essential to identify regulatory elements in DNA sequences. Subsets of highly similar profiles complicate large scale analysis of transcription factor binding sites. RESULTS:We propose to identify and group similar profiles using tw...

journal_title：BMC bioinformatics

authors： Kielbasa SM,Gonze D,Herzel H

更新日期：2005-09-28 00:00:00

abstract：BACKGROUND:Protein domains coordinate to perform multifaceted cellular functions, and domain combinations serve as the functional building blocks of the cell. The available methods to identify functional domain combinations are limited in their scope, e.g. to the identification of combinations falling within individual...

journal_title：BMC bioinformatics

authors： McLaughlin WA,Chen K,Hou T,Wang W

更新日期：2007-10-16 00:00:00

abstract：BACKGROUND:We develop a probabilistic model for combining kernel matrices to predict the function of proteins. It extends previous approaches in that it can handle multiple labels which naturally appear in the context of protein function. RESULTS:Explicit modeling of multilabels significantly improves the capability o...

journal_title：BMC bioinformatics

authors： Roth V,Fischer B

更新日期：2007-05-03 00:00:00

abstract：BACKGROUND:The Damerau-Levenshtein (DL) distance metric has been widely used in the biological science. It tries to identify the similar region of DNA,RNA and protein sequences by transforming one sequence to the another using the substitution, insertion, deletion and transposition operations. Lowrance and Wagner have ...

journal_title：BMC bioinformatics

authors： Zhao C,Sahni S

更新日期：2020-12-09 00:00:00

abstract：BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

journal_title：BMC bioinformatics

authors： Liu M,Watson LT,Zhang L

更新日期：2014-01-09 00:00:00

abstract：BACKGROUND:The analysis of DNA copy number variants (CNV) has increasing impact in the field of genetic diagnostics and research. However, the interpretation of CNV data derived from high resolution array CGH or NGS platforms is complicated by the considerable variability of the human genome. Therefore, tools for multi...

journal_title：BMC bioinformatics

authors： Tebel K,Boldt V,Steininger A,Port M,Ebert G,Ullmann R

更新日期：2017-01-06 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:Formal classification of a large collection of protein structures aids the understanding of evolutionary relationships among them. Classifications involving manual steps, such as SCOP and CATH, face the challenge of increasing volume of available structures. Automatic methods such as FSSP or Dali Domain Dict...

journal_title：BMC bioinformatics

authors： Sam V,Tai CH,Garnier J,Gibrat JF,Lee B,Munson PJ

更新日期：2008-01-31 00:00:00

abstract：BACKGROUND:In the past decade, bioinformatics tools have matured enough to reliably perform sophisticated primary data analysis on Next Generation Sequencing (NGS) data, such as mapping, assemblies and variant calling, however, there is still a dire need for improvements in the higher level analysis such as NGS data or...

journal_title：BMC bioinformatics

authors： Hadj Khodabakhshi A,Fejes AP,Birol I,Jones SJ

更新日期：2013-05-28 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 reconstruction of reliable graphical models from observational data is important in bioinformatics and other computational fields applying network reconstruction methods to large, yet finite datasets. The main network reconstruction approaches are either based on Bayesian scores, which enable the ranking...

journal_title：BMC bioinformatics

authors： Affeldt S,Verny L,Isambert H

更新日期：2016-01-20 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: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:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

journal_title：BMC bioinformatics

authors： Wang Y,Wu H,Cai Y

更新日期：2018-12-31 00:00:00

abstract：BACKGROUND:Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to the progressive conversion of normal human cells into malignant cancer cells. Interrogation of cancer genomes holds the promise of understandi...

journal_title：BMC bioinformatics

authors： Sanchez-Garcia F,Akavia UD,Mozes E,Pe'er D

更新日期：2010-04-14 00:00:00

abstract：BACKGROUND:Since their introduction in 2009, the BioNLP Shared Task events have been instrumental in advancing the development of methods and resources for the automatic extraction of information from the biomedical literature. In this paper, we present the Cancer Genetics (CG) and Pathway Curation (PC) tasks, two even...

journal_title：BMC bioinformatics

authors： Pyysalo S,Ohta T,Rak R,Rowley A,Chun HW,Jung SJ,Choi SP,Tsujii J,Ananiadou S

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:In the biomedical domain, the desired information of a question (query) asked by biologists usually is a list of a certain type of entities covering different aspects that are related to the question, such as genes, proteins, diseases, mutations, etc. Hence it is important for a biomedical information retrie...

journal_title：BMC bioinformatics

authors： Yin X,Li Z,Huang JX,Hu X

更新日期：2011-01-01 00:00:00

abstract：BACKGROUND:Genes occurring co-localized in multiple genomes can be strong indicators for either functional constraints on the genome organization or remnant ancestral gene order. The computational detection of these patterns, which are usually referred to as gene clusters, has become increasingly sensitive over the pas...

journal_title：BMC bioinformatics

authors： Jahn K,Winter S,Stoye J,Böcker S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:Structural variants (SVs) in human genomes are implicated in a variety of human diseases. Long-read sequencing delivers much longer read lengths than short-read sequencing and may greatly improve SV detection. However, due to the relatively high cost of long-read sequencing, it is unclear what coverage is ne...

journal_title：BMC bioinformatics

authors： Fang L,Hu J,Wang D,Wang K

更新日期：2018-05-23 00:00:00

abstract：BACKGROUND:Many proteins contain conserved sequence patterns (motifs) that contribute to their functionality. The process of experimentally identifying and validating novel protein motifs can be difficult, expensive, and time consuming. A means for helping to identify in advance the possible function of a novel motif i...

journal_title：BMC bioinformatics

authors： Bristow F,He R,Van Domselaar G

更新日期：2011-09-26 00:00:00

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:Hierarchical Multi-Label Classification is a classification task where the classes to be predicted are hierarchically organized. Each instance can be assigned to classes belonging to more than one path in the hierarchy. This scenario is typically found in protein function prediction, considering that each pr...

journal_title：BMC bioinformatics

authors： Cerri R,Barros RC,P L F de Carvalho AC,Jin Y

更新日期：2016-09-15 00:00:00

abstract：BACKGROUND:The computation of phylogenetic trees on the same set of species that are based on different orthologous genes can lead to incongruent trees. One possible explanation for this behavior are interspecific hybridization events recombining genes of different species. An important approach to analyze such events ...

journal_title：BMC bioinformatics

authors： Albrecht B

更新日期：2015-07-30 00:00:00

abstract：BACKGROUND:Although many genomic features have been used in the prediction of protein-protein interactions (PPIs), frequently only one is used in a computational method. After realizing the limited power in the prediction using only one genomic feature, investigators are now moving toward integration. So far, there hav...

journal_title：BMC bioinformatics

authors： Sun J,Sun Y,Ding G,Liu Q,Wang C,He Y,Shi T,Li Y,Zhao Z

更新日期：2007-10-26 00:00:00

abstract：BACKGROUND:Viral infection by dengue virus is a major public health problem in tropical countries. Early diagnosis and detection are increasingly based on quantitative reverse transcriptase real-time polymerase chain reaction (RT-qPCR) directed against genomic regions conserved between different isolates. Genetic varia...

journal_title：BMC bioinformatics

authors： Vanneste K,Garlant L,Broeders S,Van Gucht S,Roosens NH

更新日期：2018-09-04 00:00:00

abstract：BACKGROUND:A standardized and cost-effective molecular identification system is now an urgent need for Fungi owing to their wide involvement in human life quality. In particular the potential use of mitochondrial DNA species markers has been taken in account. Unfortunately, a serious difficulty in the PCR and bioinform...

journal_title：BMC bioinformatics

authors： Santamaria M,Vicario S,Pappadà G,Scioscia G,Scazzocchio C,Saccone C

更新日期：2009-06-16 00:00:00

abstract：BACKGROUND:Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, can offer different definitions. In a previous study, we defined a structural alphabet composed of 16 average protein fragments, which we call...

journal_title：BMC bioinformatics

authors： Fourrier L,Benros C,de Brevern AG

更新日期：2004-05-12 00:00:00