BiPOm: a rule-based ontology to represent and infer molecule knowledge from a biological process-centered viewpoint.

abstract：BACKGROUND:Inference of sequence homology is inherently an evolutionary question, dependent upon evolutionary divergence. However, the insertion and deletion penalties in the most widely used methods for inferring homology by sequence alignment, including BLAST and profile hidden Markov models (profile HMMs), are not b...

journal_title：BMC bioinformatics

authors： Rivas E,Eddy SR

更新日期：2015-12-10 00:00:00

abstract：BACKGROUND:Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molec...

journal_title：BMC bioinformatics

authors： Steffen M,Petti A,Aach J,D'haeseleer P,Church G

更新日期：2002-11-01 00:00:00

abstract：BACKGROUND:One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because profiles are built from sequence alignments, the sequences included in the alignment and the method used to align them will be important to th...

journal_title：BMC bioinformatics

authors： Scheeff ED,Bourne PE

更新日期：2006-09-14 00:00:00

abstract：BACKGROUND:Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cycle by employing the traditional experimental method. With the fact that the number of drug molecules with positive activity is rather fewer t...

journal_title：BMC bioinformatics

authors： Li GZ,Meng HH,Lu WC,Yang JY,Yang MQ

更新日期：2008-05-28 00:00:00

abstract：BACKGROUND:Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilitate high throughput classification of biomedical information. However, to our knowledge, no evaluation has been published on automating classi...

journal_title：BMC bioinformatics

authors： Chen JL,Liu Y,Sam LT,Li J,Lussier YA

更新日期：2007-05-09 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: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:Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images. To reduce the errors of spot quantification in 2DE images, a novel brightness correction m...

journal_title：BMC bioinformatics

authors： Ou Q,Xiao J,Yu L,Wu K,Xiong B

更新日期：2020-03-19 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:Enrichment analysis is a popular approach to identify pathways or sets of genes which are significantly enriched in the context of differentially expressed genes. The traditional gene set enrichment approach considers a pathway as a simple gene list disregarding any knowledge of gene or protein interactions....

journal_title：BMC bioinformatics

authors： Bayerlová M,Jung K,Kramer F,Klemm F,Bleckmann A,Beißbarth T

更新日期：2015-10-22 00:00:00

abstract：BACKGROUND:Scaffold proteins are known for being crucial regulators of various cellular functions by assembling multiple proteins involved in signaling and metabolic pathways. Identification of scaffold proteins and the study of their molecular mechanisms can open a new aspect of cellular systemic regulation and the re...

journal_title：BMC bioinformatics

authors： Oh K,Yi GS

更新日期：2016-07-28 00:00:00

abstract：BACKGROUND:In binary high-throughput screening projects where the goal is the identification of low-frequency events, beyond the obvious issue of efficiency, false positives and false negatives are a major concern. Pooling constitutes a natural solution: it reduces the number of tests, while providing critical duplicat...

journal_title：BMC bioinformatics

authors： Thierry-Mieg N

更新日期：2006-01-19 00:00:00

abstract：BACKGROUND:The rate of protein structures being deposited in the Protein Data Bank surpasses the capacity to experimentally characterise them and therefore computational methods to analyse these structures have become increasingly important. Identifying the region of the protein most likely to be involved in function i...

journal_title：BMC bioinformatics

authors： Bray T,Chan P,Bougouffa S,Greaves R,Doig AJ,Warwicker J

更新日期：2009-11-18 00:00:00

abstract：BACKGROUND:RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence o...

journal_title：BMC bioinformatics

authors： Li B,Dewey CN

更新日期：2011-08-04 00:00:00

abstract：BACKGROUND:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from t...

journal_title：BMC bioinformatics

authors： Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman O

更新日期：2018-10-04 00:00:00

abstract：BACKGROUND:Frequent pattern mining analysis applied on microarray dataset appears to be a promising strategy for identifying relationships between gene expression levels. Unfortunately, too many itemsets (co-expressed genes) are identified by this analysis method since it does not consider the importance of each gene w...

journal_title：BMC bioinformatics

authors： Liu YC,Cheng CP,Tseng VS

更新日期：2013-07-21 00:00:00

abstract：BACKGROUND:We study the statistical properties of fragment coverage in genome sequencing experiments. In an extension of the classic Lander-Waterman model, we consider the effect of the length distribution of fragments. We also introduce a coding of the shape of the coverage depth function as a tree and explain how thi...

journal_title：BMC bioinformatics

authors： Evans SN,Hower V,Pachter L

更新日期：2010-08-18 00:00:00

abstract：BACKGROUND:Protein subcellular localization is an important determinant of protein function and hence, reliable methods for prediction of localization are needed. A number of prediction algorithms have been developed based on amino acid compositions or on the N-terminal characteristics (signal peptides) of proteins. Ho...

journal_title：BMC bioinformatics

authors： Sarda D,Chua GH,Li KB,Krishnan A

更新日期：2005-06-17 00:00:00

abstract：BACKGROUND:Drug discovery is the process through which potential new medicines are identified. High-throughput screening and computer-aided drug discovery/design are the two main drug discovery methods for now, which have successfully discovered a series of drugs. However, development of new drugs is still an extremely...

journal_title：BMC bioinformatics

authors： Sang S,Yang Z,Wang L,Liu X,Lin H,Wang J

更新日期：2018-05-30 00:00:00

abstract：BACKGROUND:Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number...

journal_title：BMC bioinformatics

authors： Sonnhammer EL,Hollich V

更新日期：2005-04-27 00:00:00

abstract：BACKGROUND:Biological networks are representative of the diverse molecular interactions that occur within cells. Some of the commonly studied biological networks are modeled through protein-protein interactions, gene regulatory, and metabolic pathways. Among these, metabolic networks are probably the most studied, as t...

journal_title：BMC bioinformatics

authors： Manipur I,Granata I,Maddalena L,Guarracino MR

更新日期：2020-08-21 00:00:00

abstract：BACKGROUND:The importance of biodiversity conservation has been increasing steadily due to its benefits to human beings. Recently, producing and managing biodiversity databases have become much easier because of the information technology (IT) advancement. This made the general public's participation in biodiversity co...

journal_title：BMC bioinformatics

authors： Paik IH,Lim J,Chun BS,Jin SD,Yu JP,Lee JW,Bhak J,Paek WK

更新日期：2009-12-03 00:00:00

abstract：BACKGROUND:The information in large collections of phylogenetic trees is useful for many comparative genomic studies. Therefore, there is a need for flexible tools that allow exploration of such collections in order to retrieve relevant data as quickly as possible. RESULTS:In this paper, we present TPMS (Tree Pattern-...

journal_title：BMC bioinformatics

authors： Bigot T,Daubin V,Lassalle F,Perrière G

更新日期：2013-03-27 00:00:00

abstract：BACKGROUND:To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data, which is less biologically relevant than sampling by mass spectrometr...

journal_title：BMC bioinformatics

authors： Boehm KM,Bhinder B,Raja VJ,Dephoure N,Elemento O

更新日期：2019-01-05 00:00:00

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: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:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein f...

journal_title：BMC bioinformatics

authors： Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

更新日期：2009-05-06 00:00:00

abstract：BACKGROUND:XHMM is a widely used tool for copy-number variant (CNV) discovery from whole exome sequencing data but can require hours to days to run for large cohorts. A more scalable implementation would reduce the need for specialized computational resources and enable increased exploration of the configuration parame...

journal_title：BMC bioinformatics

authors： Linderman MD,Chia D,Wallace F,Nothaft FA

更新日期：2019-10-11 00:00:00

abstract：BACKGROUND:The large increase in the size of patent collections has led to the need of efficient search strategies. But the development of advanced text-mining applications dedicated to patents of the biomedical field remains rare, in particular to address the needs of the pharmaceutical & biotech industry, which inten...

journal_title：BMC bioinformatics

authors： Pasche E,Gobeill J,Kreim O,Oezdemir-Zaech F,Vachon T,Lovis C,Ruch P

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer. This algorithm is the basis for claims of 100% sensitivity and specificity in two related publicly available datasets. To date, no detailed ...

journal_title：BMC bioinformatics

authors： Jeffries NO

更新日期：2004-11-19 00:00:00