Linear space string correction algorithm using the Damerau-Levenshtein distance.

abstract：BACKGROUND:Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate structures nor an established universal structure encoding scheme for computational purposes. Funding for further development of the Complex Carboh...

journal_title：BMC bioinformatics

authors： Ranzinger R,Herget S,Wetter T,von der Lieth CW

更新日期：2008-09-19 00:00:00

abstract：BACKGROUND:As phenotypic features derived from heritable characters, the topologies of metabolic pathways contain both phylogenetic and phenetic components. In the post-genomic era, it is possible to measure the "phylophenetic" contents of different pathways topologies from a global perspective. RESULTS:We reconstruct...

journal_title：BMC bioinformatics

authors： Zhang Y,Li S,Skogerbø G,Zhang Z,Zhu X,Zhang Z,Sun S,Lu H,Shi B,Chen R

更新日期：2006-05-09 00:00:00

abstract：BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

journal_title：BMC bioinformatics

authors： Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

更新日期：2010-11-29 00:00:00

abstract：BACKGROUND:Antibiotics are the widely prescribed drugs for children and most likely to be related with adverse reactions. Record on adverse reactions and allergies from antibiotics considerably affect the prescription choices. We consider this a biomedical decision-making problem and explore hidden knowledge in survey ...

journal_title：BMC bioinformatics

authors： Yildirim P,Majnarić L,Ekmekci O,Holzinger A

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:Microbial electrosynthesis and electro fermentation are techniques that aim to optimize microbial production of chemicals and fuels by regulating the cellular redox balance via interaction with electrodes. While the concept is known for decades major knowledge gaps remain, which make it hard to evaluate its ...

journal_title：BMC bioinformatics

authors： Kracke F,Krömer JO

更新日期：2014-12-30 00:00:00

abstract：BACKGROUND:Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merely rely on morphological information of entity mentions, but rarely consider their semantic information. In this paper, we introduce a novel convolutional neural network (CNN) architecture that regards biomedical e...

journal_title：BMC bioinformatics

authors： Li H,Chen Q,Tang B,Wang X,Xu H,Wang B,Huang D

更新日期：2017-10-03 00:00:00

abstract：BACKGROUND:Analysis of expression quantitative trait loci (eQTL) aims to identify the genetic loci associated with the expression level of genes. Penalized regression with a proper penalty is suitable for the high-dimensional biological data. Its performance should be enhanced when we incorporate biological knowledge o...

journal_title：BMC bioinformatics

authors： Wang W,Zhang X

更新日期：2011-06-30 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:The field of protein sequence analysis is dominated by tools rooted in substitution matrices and alignments. A complementary approach is provided by methods of quantitative characterization. A major advantage of the approach is that quantitative properties defines a multidimensional solution space, where seq...

journal_title：BMC bioinformatics

authors： Konopka BM,Marciniak M,Dyrka W

更新日期：2017-07-17 00:00:00

abstract：BACKGROUND:T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherapies because they are relevant to a large proportion of the human population. The presence of clusters of promiscuous T-cell epitopes, immunolo...

journal_title：BMC bioinformatics

authors： Zhang GL,Khan AM,Srinivasan KN,Heiny A,Lee K,Kwoh CK,August JT,Brusic V

更新日期：2008-01-01 00:00:00

abstract：BACKGROUND:Increasing number of eQTL (Expression Quantitative Trait Loci) datasets facilitate genetics and systems biology research. Meta-analysis tools are in need to jointly analyze datasets of same or similar issue types to improve statistical power especially in trans-eQTL mapping. Meta-analysis framework is also n...

journal_title：BMC bioinformatics

authors： Di Narzo AF,Cheng H,Lu J,Hao K

更新日期：2014-11-28 00:00:00

abstract：BACKGROUND:Elucidating gene regulatory networks is crucial for understanding normal cell physiology and complex pathologic phenotypes. Existing computational methods for the genome-wide "reverse engineering" of such networks have been successful only for lower eukaryotes with simple genomes. Here we present ARACNE, a n...

journal_title：BMC bioinformatics

authors： Margolin AA,Nemenman I,Basso K,Wiggins C,Stolovitzky G,Dalla Favera R,Califano A

更新日期：2006-03-20 00:00:00

abstract：BACKGROUND:Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring different protein functions, a pipeline that properly integrates these resources will benefit from the advantages of each method. However, int...

journal_title：BMC bioinformatics

authors： Yu C,Zavaljevski N,Desai V,Johnson S,Stevens FJ,Reifman J

更新日期：2008-01-25 00:00:00

abstract：BACKGROUND:Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive model, it is important to know what properties of an oligonucleotide sequence associate significantly with antisense activity. Also, for the m...

journal_title：BMC bioinformatics

authors： McQuisten KA,Peek AS

更新日期：2007-06-07 00:00:00

abstract：BACKGROUND:Study on long non-coding RNAs (lncRNAs) has been promoted by high-throughput RNA sequencing (RNA-Seq). However, it is still not trivial to identify lncRNAs from the RNA-Seq data and it remains a challenge to uncover their functions. RESULTS:We present a computational pipeline for detecting novel lncRNAs fro...

journal_title：BMC bioinformatics

authors： Sun L,Zhang Z,Bailey TL,Perkins AC,Tallack MR,Xu Z,Liu H

更新日期：2012-12-13 00:00:00

abstract：BACKGROUND:Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However, its estimated loading vectors are non-sparse, which presents challenge...

journal_title：BMC bioinformatics

authors： Min EJ,Long Q

更新日期：2020-04-15 00:00:00

abstract：BACKGROUND:Identifying drug-target interaction is a key element in drug discovery. In silico prediction of drug-target interaction can speed up the process of identifying unknown interactions between drugs and target proteins. In recent studies, handcrafted features, similarity metrics and machine learning methods have...

journal_title：BMC bioinformatics

authors： Eslami Manoochehri H,Nourani M

更新日期：2020-07-06 00:00:00

abstract：BACKGROUND:The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the variables available for each subject: the main characteristic of high-dimensional data is that the number of variables greatly exceeds the number o...

journal_title：BMC bioinformatics

authors： Blagus R,Lusa L

更新日期：2010-10-20 00:00:00

abstract：BACKGROUND:SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform for using reasoning to semantically integrate heterogeneous disparate data and services on the web. SSWAP was developed as a hybrid semantic web services technology to overcome limitations foun...

journal_title：BMC bioinformatics

authors： Gessler DD,Schiltz GS,May GD,Avraham S,Town CD,Grant D,Nelson RT

更新日期：2009-09-23 00:00:00

abstract：BACKGROUND:To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to calculate the distance between the resulting values of each measure. Conventional phylogenetic analysis based on genomic sequences provides inf...

journal_title：BMC bioinformatics

authors： Oh SJ,Joung JG,Chang JH,Zhang BT

更新日期：2006-06-06 00:00:00

abstract：BACKGROUND:RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here we introduce a workflow implementing several open-source softwares that can be run on a high performance computing environment. RESULTS:Developed as a tool by the Bioinformatics Shared Resource Group (BISR) at...

journal_title：BMC bioinformatics

authors： Gadepalli VS,Ozer HG,Yilmaz AS,Pietrzak M,Webb A

更新日期：2019-12-20 00:00:00

abstract：BACKGROUND:Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative and acid fast gram positive), mitochondria and chloroplasts. Despite recent publications describing reasonable levels of accuracy for discrimin...

journal_title：BMC bioinformatics

authors： Garrow AG,Agnew A,Westhead DR

更新日期：2005-03-15 00:00:00

abstract：BACKGROUND:We developed an extendable open-source Loop-mediated isothermal AMPlification (LAMP) signature design program called LAVA (LAMP Assay Versatile Analysis). LAVA was created in response to limitations of existing LAMP signature programs. RESULTS:LAVA identifies combinations of six primer regions for basic LAM...

journal_title：BMC bioinformatics

authors： Torres C,Vitalis EA,Baker BR,Gardner SN,Torres MW,Dzenitis JM

更新日期：2011-06-16 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:As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on five microarray platforms. For most platforms, several different methods of data processing were considered. However, there was no similar consid...

journal_title：BMC bioinformatics

authors： Kerr KF

更新日期：2007-10-03 00:00:00

abstract：BACKGROUND:Differences in cell-type composition across subjects and conditions often carry biological significance. Recent advancements in single cell sequencing technologies enable cell-types to be identified at the single cell level, and as a result, cell-type composition of tissues can now be studied in exquisite de...

journal_title：BMC bioinformatics

authors： Cao Y,Lin Y,Ormerod JT,Yang P,Yang JYH,Lo KK

更新日期：2019-12-24 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:The creation of a complete genome-wide map of transcription factor binding sites is essential for understanding gene regulatory networks in vivo. However, current prediction methods generally rely on statistical models that imperfectly model transcription factor binding. Generation of new prediction methods ...

journal_title：BMC bioinformatics

authors： Hill JT,Anderson KR,Mastracci TL,Kaestner KH,Sussel L

更新日期：2011-02-25 00:00:00

abstract：BACKGROUND:Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differentially expressed in time-course data, measured between different biological conditions. These differentially expressed genes can reveal the ...

journal_title：BMC bioinformatics

authors： Jonnalagadda S,Srinivasan R

更新日期：2008-06-06 00:00:00

abstract：BACKGROUND:The Bioinformatics Resource Manager (BRM) is a web-based tool developed to facilitate identifier conversion and data integration for Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Danio rerio (zebrafish), and Macaca mulatta (macaque), as well as perform orthologous conversions among the...

journal_title：BMC bioinformatics

authors： Brown J,Phillips AR,Lewis DA,Mans MA,Chang Y,Tanguay RL,Peterson ES,Waters KM,Tilton SC

更新日期：2019-05-17 00:00:00