ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network.

abstract：BACKGROUND:Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides within repeated identical experiments are often produced. Pooling information across studies can help more accurately identify true target genes. ...

journal_title：BMC bioinformatics

authors： Conlon EM,Song JJ,Liu JS

更新日期：2006-05-05 00:00:00

abstract：BACKGROUND:Protein solvent accessibility prediction is a pivotal intermediate step towards modeling protein tertiary structures directly from one-dimensional sequences. It also plays an important part in identifying protein folds and domains. Although some methods have been presented to the protein solvent accessibilit...

journal_title：BMC bioinformatics

authors： Fan C,Liu D,Huang R,Chen Z,Deng L

更新日期：2016-01-11 00:00:00

abstract：BACKGROUND:Several large-scale gene co-expression networks have been constructed successfully for predicting gene functional modules and cis-regulatory elements in Arabidopsis (Arabidopsis thaliana). However, these networks are usually constructed and analyzed in an ad hoc manner. In this study, we propose a completely...

journal_title：BMC bioinformatics

authors： Ruan J,Perez J,Hernandez B,Lei C,Sunter G,Sponsel VM

更新日期：2011-11-24 00:00:00

abstract：BACKGROUND:As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. However, its clinical use is not fully validated yet. An important factor to prevent this young technology to become a mainstream cancer diagnos...

journal_title：BMC bioinformatics

authors： Han H

更新日期：2010-01-18 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:Discovering causal genetic variants from large genetic association studies poses many difficult challenges. Assessing which genetic markers are involved in determining trait status is a computationally demanding task, especially in the presence of gene-gene interactions. RESULTS:A non-parametric Bayesian ap...

journal_title：BMC bioinformatics

authors： Beam AL,Motsinger-Reif A,Doyle J

更新日期：2014-11-21 00:00:00

abstract：BACKGROUND:Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk for various human diseases. The increasing availability of high-resolution genome surveillance platforms provides opportunity for rapidly ass...

journal_title：BMC bioinformatics

authors： Gai X,Perin JC,Murphy K,O'Hara R,D'arcy M,Wenocur A,Xie HM,Rappaport EF,Shaikh TH,White PS

更新日期：2010-02-04 00:00:00

abstract：BACKGROUND:MicroRNAs (miRNA) are regulatory genes that target and repress other RNA molecules via sequence-specific binding. Several biological processes are regulated across many organisms by evolutionarily conserved miRNAs. Plants and invertebrates employ their miRNA in defense against viruses by targeting and degrad...

journal_title：BMC bioinformatics

authors： Carl JW Jr,Trgovcich J,Hannenhalli S

更新日期：2013-01-01 00:00:00

abstract：BACKGROUND:An approach to molecular classification based on the comparative expression of protein pairs is presented. The method overcomes some of the present limitations in using peptide intensity data for class prediction for problems such as the detection of a disease, disease prognosis, or for predicting treatment ...

journal_title：BMC bioinformatics

authors： Kaur P,Schlatzer D,Cooke K,Chance MR

更新日期：2012-08-07 00:00:00

abstract：BACKGROUND:Finding common molecular interactions from different samples is essential work to understanding diseases and other biological processes. Coexpression networks and their modules directly reflect sample-specific interactions among genes. Therefore, identification of common coexpression network or modules may r...

journal_title：BMC bioinformatics

authors： Jo Y,Kim S,Lee D

更新日期：2018-06-13 00:00:00

abstract：BACKGROUND:Classification and naming is a key step in the analysis, understanding and adequate management of living organisms. However, where to set limits between groups can be puzzling especially in clonal organisms. Within the Mycobacterium tuberculosis complex (MTC), the etiological agent of tuberculosis (TB), expe...

journal_title：BMC bioinformatics

authors： Borile C,Labarre M,Franz S,Sola C,Refrégier G

更新日期：2011-06-02 00:00:00

abstract：BACKGROUND:Creating a scalable computational infrastructure to analyze the wealth of information contained in data repositories is difficult due to significant barriers in organizing, extracting and analyzing relevant data. Shared data science infrastructures like Boag is needed to efficiently process and parse data co...

journal_title：BMC bioinformatics

authors： Bagheri H,Muppirala U,Masonbrink RE,Severin AJ,Rajan H

更新日期：2019-08-22 00:00:00

abstract：BACKGROUND:In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differences in gel migration and sample variability make efficient spot alignment very difficult to obtain, and, as consequence most of the software ...

journal_title：BMC bioinformatics

authors： Pérès S,Molina L,Salvetat N,Granier C,Molina F

更新日期：2008-10-28 00:00:00

abstract：BACKGROUND:Failure on Highly Active Anti-Retroviral Treatment is often accompanied with development of antiviral resistance to one or more drugs included in the treatment. In general, the virus is more likely to develop resistance to drugs with a lower genetic barrier. Previously, we developed a method to reverse engin...

journal_title：BMC bioinformatics

authors： Theys K,Deforche K,Beheydt G,Moreau Y,van Laethem K,Lemey P,Camacho RJ,Rhee SY,Shafer RW,Van Wijngaerden E,Vandamme AM

更新日期：2010-08-03 00:00:00

abstract：:Transcript quantification is a long-standing problem in genomics and estimating the relative abundance of alternatively-spliced isoforms from the same transcript is an important special case. Both problems have recently been illuminated by high-throughput RNA sequencing experiments which are quickly generating large a...

journal_title：BMC bioinformatics

authors： Kakaradov B,Xiong HY,Lee LJ,Jojic N,Frey BJ

更新日期：2012-04-19 00:00:00

abstract：BACKGROUND:Maize is a leading crop in the modern agricultural industry that accounts for more than 40% grain production worldwide. THe double haploid technique that uses fewer breeding generations for generating a maize line has accelerated the pace of development of superior commercial seed varieties and has been tran...

journal_title：BMC bioinformatics

authors： Veeramani B,Raymond JW,Chanda P

更新日期：2018-08-13 00:00:00

abstract：BACKGROUND:Modules of interacting components arranged in specific network topologies have evolved to perform a diverse array of cellular functions. For a network with a constant topological structure, its function within a cell may still be tuned by changing the number of instances of a particular component (e.g., gene...

journal_title：BMC bioinformatics

authors： Shah NA,Sarkar CA

更新日期：2019-05-14 00:00:00

abstract：BACKGROUND:In this study, we extended the replica exchange Monte Carlo (REMC) sampling method to protein-small molecule docking conformational prediction using RosettaLigand. In contrast to the traditional Monte Carlo (MC) and REMC sampling methods, these methods use multi-objective optimization Pareto front informatio...

journal_title：BMC bioinformatics

authors： Wang H,Liu H,Cai L,Wang C,Lv Q

更新日期：2017-07-10 00:00:00

abstract：BACKGROUND:Scientific workflows management systems are increasingly used to specify and manage bioinformatics experiments. Their programming model appeals to bioinformaticians, who can use them to easily specify complex data processing pipelines. Such a model is underpinned by a graph structure, where nodes represent b...

journal_title：BMC bioinformatics

authors： Cohen-Boulakia S,Chen J,Missier P,Goble C,Williams AR,Froidevaux C

更新日期：2014-01-01 00:00:00

abstract：BACKGROUND:One of the main goals in cancer studies including high-throughput microRNA (miRNA) and mRNA data is to find and assess prognostic signatures capable of predicting clinical outcome. Both mRNA and miRNA expression changes in cancer diseases are described to reflect clinical characteristics like staging and pro...

journal_title：BMC bioinformatics

authors： Gade S,Porzelius C,Fälth M,Brase JC,Wuttig D,Kuner R,Binder H,Sültmann H,Beissbarth T

更新日期：2011-12-21 00:00:00

abstract：BACKGROUND:Inferring molecular pathway activity is an important step towards reducing the complexity of genomic data, understanding the heterogeneity in clinical outcome, and obtaining molecular correlates of cancer imaging traits. Increasingly, approaches towards pathway activity inference combine molecular profiles (...

journal_title：BMC bioinformatics

authors： Jiao Y,Lawler K,Patel GS,Purushotham A,Jones AF,Grigoriadis A,Tutt A,Ng T,Teschendorff AE

更新日期：2011-10-19 00:00:00

abstract：BACKGROUND:In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task is performed by a multi-classifier system where each classifier (Linear or Radial Basis function Support Vector Machines) is trained using feat...

journal_title：BMC bioinformatics

authors： Nanni L,Lumini A

更新日期：2008-01-24 00:00:00

abstract：BACKGROUND:The aberrant expression of microRNAs is closely connected to the occurrence and development of a great deal of human diseases. To study human diseases, numerous effective computational models that are valuable and meaningful have been presented by researchers. RESULTS:Here, we present a computational framew...

journal_title：BMC bioinformatics

authors： Gao Z,Wang YT,Wu QW,Ni JC,Zheng CH

更新日期：2020-02-18 00:00:00

abstract：BACKGROUND:Gene function annotations, which are associations between a gene and a term of a controlled vocabulary describing gene functional features, are of paramount importance in modern biology. Datasets of these annotations, such as the ones provided by the Gene Ontology Consortium, are used to design novel biologi...

journal_title：BMC bioinformatics

authors： Pinoli P,Chicco D,Masseroli M

更新日期：2015-01-01 00:00:00

abstract：BACKGROUND:Lineage rate heterogeneity can be a major source of bias, especially in multi-gene phylogeny inference. We had previously tackled this issue by developing LS3, a data subselection algorithm that, by removing fast-evolving sequences in a gene-specific manner, identifies subsets of sequences that evolve at a r...

journal_title：BMC bioinformatics

authors： Rivera-Rivera CJ,Montoya-Burgos JI

更新日期：2019-08-13 00:00:00

abstract：BACKGROUND:High-throughput "omics" based data analysis play emerging roles in life sciences and molecular diagnostics. This emphasizes the urgent need for user-friendly windows-based software interfaces that could process the diversity of large tab-delimited raw data files generated by these methods. Depending on the s...

journal_title：BMC bioinformatics

authors： Schwager C,Wirkner U,Abdollahi A,Huber PE

更新日期：2009-07-29 00:00:00

abstract：BACKGROUND:Identifying protein complexes from protein-protein interaction (PPI) network is one of the most important tasks in proteomics. Existing computational methods try to incorporate a variety of biological evidences to enhance the quality of predicted complexes. However, it is still a challenge to integrate diffe...

journal_title：BMC bioinformatics

authors： Xu B,Li K,Zheng W,Liu X,Zhang Y,Zhao Z,He Z

更新日期：2018-12-20 00:00:00

abstract：BACKGROUND:Sequence alignment is crucial in genomics studies. However, optimal multiple sequence alignment (MSA) is NP-hard. Thus, modern MSA methods employ progressive heuristics, breaking the problem into a series of pairwise alignments guided by a phylogeny. Changes between homologous characters are typically modell...

journal_title：BMC bioinformatics

authors： Maiolo M,Zhang X,Gil M,Anisimova M

更新日期：2018-09-21 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:The rabbit is an important model organism used in a wide range of biomedical research. However, the rabbit genome is still sparsely annotated, thus prohibiting extensive functional analysis of gene sets derived from whole-genome experiments. We developed a web-based application that provides augmented annota...

journal_title：BMC bioinformatics

authors： Craig DB,Kannan S,Dombkowski AA

更新日期：2012-05-08 00:00:00