Projections for fast protein structure retrieval.

abstract：BACKGROUND:The classification of cancer subtypes is of great importance to cancer disease diagnosis and therapy. Many supervised learning approaches have been applied to cancer subtype classification in the past few years, especially of deep learning based approaches. Recently, the deep forest model has been proposed a...

journal_title：BMC bioinformatics

authors： Guo Y,Liu S,Li Z,Shang X

更新日期：2018-04-11 00:00:00

abstract：BACKGROUND:FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows complex scenarios of selection, demography, and recombination to be modelled simultaneously. Detailed tracking of sites under selection is im...

journal_title：BMC bioinformatics

authors： Chadeau-Hyam M,Hoggart CJ,O'Reilly PF,Whittaker JC,De Iorio M,Balding DJ

更新日期：2008-09-08 00:00:00

abstract：BACKGROUND:We previously developed GoMiner, an application that organizes lists of 'interesting' genes (for example, under-and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology. The original version of GoMiner was oriented toward visualization and interp...

journal_title：BMC bioinformatics

authors： Zeeberg BR,Qin H,Narasimhan S,Sunshine M,Cao H,Kane DW,Reimers M,Stephens RM,Bryant D,Burt SK,Elnekave E,Hari DM,Wynn TA,Cunningham-Rundles C,Stewart DM,Nelson D,Weinstein JN

更新日期：2005-07-05 00:00:00

abstract：BACKGROUND:Genes encoding transcription factors that constitute gene-regulatory networks and maternal factors accumulating in egg cytoplasm are two classes of essential genes that play crucial roles in developmental processes. Transcription factors control the expression of their downstream target genes by interacting ...

journal_title：BMC bioinformatics

authors： Wang K,Nishida H

更新日期：2015-04-10 00:00:00

abstract：BACKGROUND:Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments where adjacent segments have different properties, such as different mean values. Despite dozens of algorithms developed to address this problem in genomics research, methods with...

journal_title：BMC bioinformatics

authors： Girimurugan SB,Liu Y,Lung PY,Vera DL,Dennis JH,Bass HW,Zhang J

更新日期：2018-04-11 00:00:00

abstract：BACKGROUND:Cartilage damage is a crucial feature involved in several pathological conditions characterized by joint disorders, such as osteoarthritis and rheumatoid arthritis. Accumulated evidences showed that Wnt/β-catenin pathway plays a role in the pathogenesis of cartilage damage. In addition, it is experimentally ...

journal_title：BMC bioinformatics

authors： Zhou W,He X,Chen Z,Fan D,Wang Y,Feng H,Zhang G,Lu A,Xiao L

更新日期：2019-07-31 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:Detecting local correlations in expression between neighboring genes along the genome has proved to be an effective strategy to identify possible causes of transcriptional deregulation in cancer. It has been successfully used to illustrate the role of mechanisms such as copy number variation (CNV) or epigene...

journal_title：BMC bioinformatics

authors： Delatola EI,Lebarbier E,Mary-Huard T,Radvanyi F,Robin S,Wong J

更新日期：2017-07-11 00:00:00

abstract：BACKGROUND:GmrSD is a modification-dependent restriction endonuclease that specifically targets and cleaves glucosylated hydroxymethylcytosine (glc-HMC) modified DNA. It is encoded either as two separate single-domain GmrS and GmrD proteins or as a single protein carrying both domains. Previous studies suggested that G...

journal_title：BMC bioinformatics

authors： Machnicka MA,Kaminska KH,Dunin-Horkawicz S,Bujnicki JM

更新日期：2015-10-23 00:00:00

abstract：BACKGROUND:Microarray has been widely used to measure the gene expression level on the genome scale in the current decade. Many algorithms have been developed to reconstruct gene regulatory networks based on microarray data. Unfortunately, most of these models and algorithms focus on global properties of the expression...

journal_title：BMC bioinformatics

authors： Liu W,Li D,Liu Q,Zhu Y,He F

更新日期：2010-12-14 00:00:00

abstract：BACKGROUND:Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional s...

journal_title：BMC bioinformatics

authors： Ibrahim M,Jassim S,Cawthorne MA,Langlands K

更新日期：2014-11-04 00:00:00

abstract：BACKGROUND:Comparative genomics has become an essential approach for identifying homologous gene candidates and their functions, and for studying genome evolution. There are many tools available for genome comparisons. Unfortunately, most of them are not applicable for the identification of unique genes and the inferen...

journal_title：BMC bioinformatics

authors： Lu G,Jiang L,Helikar RM,Rowley TW,Zhang L,Chen X,Moriyama EN

更新日期：2006-12-12 00:00:00

abstract：BACKGROUND:We aim to solve the problem of determining word senses for ambiguous biomedical terms with minimal human effort. METHODS:We build a fully automated system for Word Sense Disambiguation by designing a system that does not require manually-constructed external resources or manually-labeled training examples e...

journal_title：BMC bioinformatics

authors： Duan W,Song M,Yates A

更新日期：2009-03-19 00:00:00

abstract：BACKGROUND:The detection of bias due to cryptic population structure is an important step in the evaluation of findings of genetic association studies. The standard method of measuring this bias in a genetic association study is to compare the observed median association test statistic to the expected median test stati...

journal_title：BMC bioinformatics

authors： Pirie A,Wood A,Lush M,Tyrer J,Pharoah PD

更新日期：2015-02-20 00:00:00

abstract：BACKGROUND:The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caeno...

journal_title：BMC bioinformatics

authors： Blei DM,Franks K,Jordan MI,Mian IS

更新日期：2006-05-08 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: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:Computer-aided segmentation and border detection in dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer var...

journal_title：BMC bioinformatics

authors： Kockara S,Mete M,Chen B,Aydin K

更新日期：2010-10-07 00:00:00

abstract：BACKGROUND:New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioi...

journal_title：BMC bioinformatics

authors： Duncan S,Sirkanungo R,Miller L,Phillips GJ

更新日期：2010-02-22 00:00:00

abstract：BACKGROUND:Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoin...

journal_title：BMC bioinformatics

authors： Pluskal T,Castillo S,Villar-Briones A,Oresic M

更新日期：2010-07-23 00:00:00

abstract：BACKGROUND:Protein-protein interactions play a key role in biological processes of proteins within a cell. Recent high-throughput techniques have generated protein-protein interaction data in a genome-scale. A wide range of computational approaches have been applied to interactome network analysis for uncovering functi...

journal_title：BMC bioinformatics

authors： Cho YR,Zhang A

更新日期：2010-04-29 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:Chemical named entities represent an important facet of biomedical text. RESULTS:We have developed a system to use character-based n-grams, Maximum Entropy Markov Models and rescoring to recognise chemical names and other such entities, and to make confidence estimates for the extracted entities. An adjusta...

journal_title：BMC bioinformatics

authors： Corbett P,Copestake A

更新日期：2008-11-19 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:Ontologies are widely used to represent knowledge in biomedicine. Systematic approaches for detecting errors and disagreements are needed for large ontologies with hundreds or thousands of terms and semantic relationships. A recent approach of defining terms using logical definitions is now increasingly bein...

journal_title：BMC bioinformatics

authors： Köhler S,Bauer S,Mungall CJ,Carletti G,Smith CL,Schofield P,Gkoutos GV,Robinson PN

更新日期：2011-10-27 00:00:00

abstract：BACKGROUND:Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order t...

journal_title：BMC bioinformatics

authors： Corradi L,Fato M,Porro I,Scaglione S,Torterolo L

更新日期：2008-11-13 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: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:One of key issues in the post-genomic era is to assign functions to uncharacterized proteins. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the functions of unknown proteins may be discovered through studying their interactions wit...

journal_title：BMC bioinformatics

authors： Hu P,Jiang H,Emili A

更新日期：2010-01-18 00:00:00

abstract：BACKGROUND:In recent years, substantial effort has been applied to de novo regulatory motif discovery. At this time, more than 150 software tools exist to detect regulatory binding sites given a set of genomic sequences. As the number of software packages increases, it becomes more important to identify the tools with ...

journal_title：BMC bioinformatics

authors： Quest D,Dempsey K,Shafiullah M,Bastola D,Ali H

更新日期：2008-08-12 00:00:00