Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability.

abstract：:Following last year's computational vaccinology workshop in Shanghai, China, the third ISV Pre-conference Computational Vaccinology Workshop (ICoVax 2013) was held in Barcelona, Spain. ICoVax 2013 provided an international platform for the attendees to showcase their research and discuss problems and solutions in the ...

journal_title：BMC bioinformatics

authors： De Groot AS,De Groot P,He Y

更新日期：2014-01-01 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:Multidimensional protein identification technology (MudPIT)-based shot-gun proteomics has been proven to be an effective platform for functional proteomics. In particular, the various sample preparation methods and bioinformatics tools can be integrated to improve the proteomics platform for applications lik...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu S,Dai SY,Yuan JS

更新日期：2012-01-01 00:00:00

abstract：BACKGROUND:Cross-species comparisons of gene neighborhoods (also called genomic contexts) in microbes may provide insight into determining functionally related or co-regulated sets of genes, suggest annotations of previously un-annotated genes, and help to identify horizontal gene transfer events across microbial speci...

journal_title：BMC bioinformatics

authors： Seitzer P,Huynh TA,Facciotti MT

更新日期：2013-01-16 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: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 AND GOAL:The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-friendly scientific fields. RESULTS:In this conte...

journal_title：BMC bioinformatics

authors： Couronné R,Probst P,Boulesteix AL

更新日期：2018-07-17 00:00:00

abstract：BACKGROUND:The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding sites in completely sequenced genomes is a key aspect in the deeper understanding of gene regulatory networks. Several algorithms have been des...

journal_title：BMC bioinformatics

authors： Oberto J

更新日期：2010-11-11 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：UNLABELLED: BACKGROUND:Acquiring and exploring whole genome sequence information for a species under investigation is now a routine experimental approach. On most genome browsers, typically, only the DNA sequence, EST support, motif search results, and GO annotations are displayed. However, for many species, a growing...

journal_title：BMC bioinformatics

authors： Antoniw J,Beacham AM,Baldwin TK,Urban M,Rudd JJ,Hammond-Kosack KE

更新日期：2011-11-15 00:00:00

abstract：BACKGROUND:Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors fr...

journal_title：BMC bioinformatics

authors： Sleep JA,Schreiber AW,Baumann U

更新日期：2013-12-18 00:00:00

abstract：BACKGROUND:Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel methods including support vector machines, we propose stem kernels as an extension of string kernels for measuring the similarities between tw...

journal_title：BMC bioinformatics

authors： Sato K,Mituyama T,Asai K,Sakakibara Y

更新日期：2008-07-22 00:00:00

abstract：BACKGROUND:Gene expression experiments are common in molecular biology, for example in order to identify genes which play a certain role in a specified biological framework. For that purpose expression levels of several thousand genes are measured simultaneously using DNA microarrays. Comparing two distinct groups of t...

journal_title：BMC bioinformatics

authors： Jung K,Friede T,Beissbarth T

更新日期：2011-07-15 00:00:00

abstract：BACKGROUND:InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not...

journal_title：BMC bioinformatics

authors： Kelly RJ,Vincent DE,Friedberg I

更新日期：2010-12-21 00:00:00

abstract：BACKGROUND:One of the most crucial steps in high-throughput sequence-based microbiome studies is the taxonomic assignment of sequences belonging to operational taxonomic units (OTUs). Without taxonomic classification, functional and biological information of microbial communities cannot be inferred or interpreted. The ...

journal_title：BMC bioinformatics

authors： Gdanetz K,Benucci GMN,Vande Pol N,Bonito G

更新日期：2017-12-06 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA levels. Computational prediction of miRNA targets is essential for elucidating the detailed functions of miRNA. However, the prediction speci...

journal_title：BMC bioinformatics

authors： Liu H,Yue D,Chen Y,Gao SJ,Huang Y

更新日期：2010-09-22 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:The family of voltage-gated potassium channels comprises a functionally diverse group of membrane proteins. They help maintain and regulate the potassium ion-based component of the membrane potential and are thus central to many critical physiological processes. VKCDB (Voltage-gated potassium [K] Channel Dat...

journal_title：BMC bioinformatics

authors： Li B,Gallin WJ

更新日期：2004-01-09 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:Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, one for each allele of a bi-allelic marker. While ample software is available to obtain genotypes (homozygous for either allele, or heterozygo...

journal_title：BMC bioinformatics

authors： Voorrips RE,Gort G,Vosman B

更新日期：2011-05-19 00:00:00

abstract：BACKGROUND:In protein design, correct use of topology is among the initial and most critical feature. Meticulous selection of backbone topology aids in drastically reducing the structure search space. With ProLego, we present a server application to explore the component aspect of protein structures and provide an intu...

journal_title：BMC bioinformatics

authors： Khan T,Panday SK,Ghosh I

更新日期：2018-05-04 00:00:00

abstract：BACKGROUND:Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of expression signatures. Microarray data generally includes individual e...

journal_title：BMC bioinformatics

authors： Wang G,Kossenkov AV,Ochs MF

更新日期：2006-03-28 00:00:00

abstract：BACKGROUND:Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a single platform and are not flexible enough to support custom changes, which arise from the new statistical methods, updated versions of refere...

journal_title：BMC bioinformatics

authors： Kim J,Patel K,Jung H,Kuo WP,Ohno-Machado L

更新日期：2011-03-17 00:00:00

abstract：BACKGROUND:Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: i...

journal_title：BMC bioinformatics

authors： Xu Y,Jia Z,Wang LB,Ai Y,Zhang F,Lai M,Chang EI

更新日期：2017-05-26 00:00:00

abstract：BACKGROUND:Gene expression measurements from breast cancer (BrCa) tumors are established clinical predictive tools to identify tumor subtypes, identify patients showing poor/good prognosis, and identify patients likely to have disease recurrence. However, diverse breast cancer datasets in conjunction with diagnostic cl...

journal_title：BMC bioinformatics

authors： Smith DD,Saetrom P,Snøve O Jr,Lundberg C,Rivas GE,Glackin C,Larson GP

更新日期：2008-01-28 00:00:00

abstract：BACKGROUND:Domain fusion analysis is a useful method to predict functionally linked proteins that may be involved in direct protein-protein interactions or in the same metabolic or signaling pathway. As separate domain databases like BLOCKS, PROSITE, Pfam, SMART, PRINTS-S, ProDom, TIGRFAMs, and amalgamated domain datab...

journal_title：BMC bioinformatics

authors： Truong K,Ikura M

更新日期：2003-05-06 00:00:00

abstract：BACKGROUND:Over the course of the last few years there has been a significant amount of research performed on ontology-based formalization of phenotype descriptions. In order to fully capture the intrinsic value and knowledge expressed within them, we need to take advantage of their inner structure, which implicitly co...

journal_title：BMC bioinformatics

authors： Groza T,Hunter J,Zankl A

更新日期：2012-10-15 00:00:00

abstract：:Advances of high-throughput technologies have rapidly produced more and more data from DNAs and RNAs to proteins, especially large volumes of genome-scale data. However, connection of the genomic information to cellular functions and biological behaviours relies on the development of effective approaches at higher sys...

journal_title：BMC bioinformatics

authors： Yang JY,Dunker A,Liu JS,Qin X,Arabnia HR,Yang W,Niemierko A,Chen Z,Luo Z,Wang L,Liu Y,Xu D,Deng Y,Tong W,Yang M

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Improvements in technology have been accompanied by the generation of large amounts of complex data. This same technology must be harnessed effectively if the knowledge stored within the data is to be retrieved. Storing data in ontologies aids its management; ontologies serve as controlled vocabularies that ...

journal_title：BMC bioinformatics

authors： Dadzie AS,Burger A

更新日期：2005-03-24 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