Computing all hybridization networks for multiple binary phylogenetic input trees.

abstract：BACKGROUND:Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks within the field of bioinformatics. Conventional kernels utilized so far do not provide an easy interpretation of the learnt representations i...

journal_title：BMC bioinformatics

authors： Meinicke P,Tech M,Morgenstern B,Merkl R

更新日期：2004-10-28 00:00:00

abstract：BACKGROUND:HH-suite is a widely used open source software suite for sensitive sequence similarity searches and protein fold recognition. It is based on pairwise alignment of profile Hidden Markov models (HMMs), which represent multiple sequence alignments of homologous proteins. RESULTS:We developed a single-instructi...

journal_title：BMC bioinformatics

authors： Steinegger M,Meier M,Mirdita M,Vöhringer H,Haunsberger SJ,Söding J

更新日期：2019-09-14 00:00:00

abstract：BACKGROUND:Genomic duplications constitute major events in the evolution of species, allowing paralogous copies of genes to take on fine-tuned biological roles. Unambiguously identifying the orthology relationship between copies across multiple genomes can be resolved by synteny, i.e. the conserved order of genomic seq...

journal_title：BMC bioinformatics

authors： Zamani N,Sundström G,Meadows JR,Höppner MP,Dainat J,Lantz H,Haas BJ,Grabherr MG

更新日期：2014-06-30 00:00:00

abstract：BACKGROUND:A common method for presenting and studying biological interaction networks is visualization. Software tools can enhance our ability to explore network visualizations and improve our understanding of biological systems, particularly when these tools offer analysis capabilities. However, most published networ...

journal_title：BMC bioinformatics

authors： Macpherson JI,Pinney JW,Robertson DL

更新日期：2009-03-26 00:00:00

abstract：BACKGROUND:Quadruplexes are specific structure motifs occurring, e.g., in telomeres and transcriptional regulatory regions. Recent discoveries confirmed their importance in biomedicine and led to an intensified examination of their properties. So far, the study of these motifs has focused mainly on the sequence and the...

journal_title：BMC bioinformatics

authors： Zok T,Popenda M,Szachniuk M

更新日期：2020-01-31 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:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

journal_title：BMC bioinformatics

authors： Amzallag A,Ramaswamy S,Benes CH

更新日期：2019-02-18 00:00:00

abstract：BACKGROUND:Transcription factors are known to play key roles in carcinogenesis and therefore, are gaining popularity as potential therapeutic targets in drug development. A 'master regulator' transcription factor often appears to control most of the regulatory activities of the other transcription factors and the assoc...

journal_title：BMC bioinformatics

authors： Sikdar S,Datta S

更新日期：2017-02-02 00:00:00

abstract：BACKGROUND:Since RNA molecules regulate genes and control alternative splicing by allostery, it is important to develop algorithms to predict RNA conformational switches. Some tools, such as paRNAss, RNAshapes and RNAbor, can be used to predict potential conformational switches; nevertheless, no existent tool can detec...

journal_title：BMC bioinformatics

authors： Clote P,Lou F,Lorenz WA

更新日期：2012-04-12 00:00:00

abstract：BACKGROUND:With continuing identification of novel structured noncoding RNAs, there is an increasing need to create schematic diagrams showing the consensus features of these molecules. RNA structural diagrams are typically made either with general-purpose drawing programs like Adobe Illustrator, or with automated or i...

journal_title：BMC bioinformatics

authors： Weinberg Z,Breaker RR

更新日期：2011-01-04 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:A large effort to discover microRNAs (miRNAs) has been under way. Currently miRBase is their primary repository, providing annotations of primary sequences, precursors and probable genomic loci. In many cases miRNAs are identical or very similar between related (or in some cases more distant) species. Howeve...

journal_title：BMC bioinformatics

authors： Guerra-Assunção JA,Enright AJ

更新日期：2010-03-16 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: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 improvements in genomics methods coupled with readily accessible high-throughput sequencing have contributed to our understanding of microbial species, metagenomes, infectious diseases and more. To maximize the impact of these genomics studies, it is important that data from biological samples will becom...

journal_title：BMC bioinformatics

authors： Quiñones M,Liou DT,Shyu C,Kim W,Vujkovic-Cvijin I,Belkaid Y,Hurt DE

更新日期：2020-09-03 00:00:00

abstract：BACKGROUND:Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray datasets often contain missing values (MVs) representing a major drawback for the use of the clustering methods. Usually the MVs are not treated,...

journal_title：BMC bioinformatics

authors： de Brevern AG,Hazout S,Malpertuy A

更新日期：2004-08-23 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:High-throughput methods can directly detect the set of interacting proteins in model species but the results are often incomplete and exhibit high false positive and false negative rates. A number of researchers have recently presented methods for integrating direct and indirect data for predicting interacti...

journal_title：BMC bioinformatics

authors： Qi Y,Klein-Seetharaman J,Bar-Joseph Z

更新日期：2007-01-01 00:00:00

abstract：BACKGROUND:It is possible to predict whether a tuberculosis (TB) patient will fail to respond to specific antibiotics by sequencing the genome of the infecting Mycobacterium tuberculosis (Mtb) and observing whether the pathogen carries specific mutations at drug-resistance sites. This advancement has led to the collati...

journal_title：BMC bioinformatics

authors： Ngo TM,Teo YY

更新日期：2019-02-08 00:00:00

abstract：BACKGROUND:Machine learning has been utilized to predict cancer drug response from multi-omics data generated from sensitivities of cancer cell lines to different therapeutic compounds. Here, we build machine learning models using gene expression data from patients' primary tumor tissues to predict whether a patient wi...

journal_title：BMC bioinformatics

authors： Clayton EA,Pujol TA,McDonald JF,Qiu P

更新日期：2020-09-30 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:Sequence comparison is one of the most prominent tools in biological research, and is instrumental in studying gene function and evolution. The rapid development of high-throughput technologies for measuring protein interactions calls for extending this fundamental operation to the level of pathways in prote...

journal_title：BMC bioinformatics

authors： Shlomi T,Segal D,Ruppin E,Sharan R

更新日期：2006-04-10 00:00:00

abstract：BACKGROUND:Reverse engineering of transcriptional regulatory networks (TRN) from genomics data has always represented a computational challenge in System Biology. The major issue is modeling the complex crosstalk among transcription factors (TFs) and their target genes, with a method able to handle both the high number...

journal_title：BMC bioinformatics

authors： Sauta E,Demartini A,Vitali F,Riva A,Bellazzi R

更新日期：2020-05-29 00:00:00

abstract：BACKGROUND:Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon usage, and so on. Unique subsequences are markers of special interest in genome comparison, expression profiling, and genetic engineering. Relat...

journal_title：BMC bioinformatics

authors： Herold J,Kurtz S,Giegerich R

更新日期：2008-03-26 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:The central element of each enzyme is the catalytic site, which commonly catalyzes a single biochemical reaction with high specificity. It was unclear to us how often sites that catalyze the same or highly similar reactions evolved on different, i. e. non-homologous protein folds and how similar their 3D pos...

journal_title：BMC bioinformatics

authors： Žváček C,Friedrichs G,Heizinger L,Merkl R

更新日期：2015-11-04 00:00:00

abstract：BACKGROUND:Various computer-based methods exist for the detection and quantification of protein spots in two dimensional gel electrophoresis images. Area-based methods are commonly used for spot quantification: an area is assigned to each spot and the sum of the pixel intensities in that area, the so-called volume, is ...

journal_title：BMC bioinformatics

authors： Brauner JM,Groemer TW,Stroebel A,Grosse-Holz S,Oberstein T,Wiltfang J,Kornhuber J,Maler JM

更新日期：2014-06-11 00:00:00

abstract：BACKGROUND:Linkage disequilibrium (LD)-the non-random association of alleles at different loci-defines population-specific haplotypes which vary by genomic ancestry. Assessment of allelic frequencies and LD patterns from a variety of ancestral populations enables researchers to better understand population histories as...

journal_title：BMC bioinformatics

authors： Alexander TA,Machiela MJ

更新日期：2020-01-10 00:00:00

abstract：BACKGROUND:Since proteins perform their functions by interacting with one another and with other biomolecules, reconstructing a map of the protein-protein interactions of a cell, experimentally or computationally, is an important first step toward understanding cellular function and machinery of a proteome. Solely deri...

journal_title：BMC bioinformatics

authors： Wu X,Zhu L,Guo J,Fu C,Zhou H,Dong D,Li Z,Zhang DY,Lin K

更新日期：2006-12-18 00:00:00

abstract：BACKGROUND:Protein function is closely intertwined with protein structure. Discovery of meaningful structure-function relationships is of utmost importance in protein biochemistry and has led to creation of high-quality, manually curated classification databases, such as the gold-standard SCOP (Structural Classificatio...

journal_title：BMC bioinformatics

authors： Asarnow D,Singh R

更新日期：2014-01-01 00:00:00