Identifying and quantifying metabolites by scoring peaks of GC-MS data.

abstract：BACKGROUND:In recent years, to investigate challenging bioinformatics problems, the utilization of multiple genomic and proteomic sources has become immensely popular among researchers. One such issue is feature or gene selection and identifying relevant and non-redundant marker genes from high dimensional gene express...

journal_title：BMC bioinformatics

authors： Acharya S,Cui L,Pan Y

更新日期：2020-12-30 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:Abundant information about gene products is stored in online searchable databases such as annotation or literature. To efficiently obtain and digest such information, there is a pressing need for automated information-summarization and functional-similarity clustering of genes. RESULTS:We have developed a n...

journal_title：BMC bioinformatics

authors： Chiang JH,Shin JW,Liu HH,Chin CL

更新日期：2006-08-29 00:00:00

abstract：BACKGROUND:A number of tools for the examination of linkage disequilibrium (LD) patterns between nearby alleles exist, but none are available for quickly and easily investigating LD at longer ranges (>500 kb). We have developed a web-based query tool (GLIDERS: Genome-wide LInkage DisEquilibrium Repository and Search en...

journal_title：BMC bioinformatics

authors： Lawrence R,Day-Williams AG,Mott R,Broxholme J,Cardon LR,Zeggini E

更新日期：2009-10-31 00:00:00

abstract：BACKGROUND:Deep shotgun sequencing on next generation sequencing (NGS) platforms has contributed significant amounts of data to enrich our understanding of genomes, transcriptomes, amplified single-cell genomes, and metagenomes. However, deep coverage variations in short-read data sets and high sequencing error rates o...

journal_title：BMC bioinformatics

authors： McCorrison JM,Venepally P,Singh I,Fouts DE,Lasken RS,Methé BA

更新日期：2014-11-19 00:00:00

abstract：BACKGROUND:Word sense disambiguation (WSD) attempts to solve lexical ambiguities by identifying the correct meaning of a word based on its context. WSD has been demonstrated to be an important step in knowledge-based approaches to automatic summarization. However, the correlation between the accuracy of the WSD methods...

journal_title：BMC bioinformatics

authors： Plaza L,Jimeno-Yepes AJ,Díaz A,Aronson AR

更新日期：2011-08-26 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:Mixed models have a long and fruitful history in statistics. They are pertinent to genomics problems because they are highly versatile, accommodating a wide variety of situations within the same theoretical and algorithmic framework. RESULTS:Qxpak is a package for versatile statistical genomics, specificall...

journal_title：BMC bioinformatics

authors： Pérez-Enciso M,Misztal I

更新日期：2011-05-25 00:00:00

abstract：BACKGROUND:RNA secondary structure prediction, or folding, is a classic problem in bioinformatics: given a sequence of nucleotides, the aim is to predict the base pairs formed in its three dimensional conformation. The inverse problem of designing a sequence folding into a particular target structure has only more rece...

journal_title：BMC bioinformatics

authors： Lyngsø RB,Anderson JW,Sizikova E,Badugu A,Hyland T,Hein J

更新日期：2012-10-09 00:00:00

abstract：BACKGROUND:The application of high-throughput sequencing in a broad range of quantitative genomic assays (e.g., DNA-seq, ChIP-seq) has created a high demand for the analysis of large-scale read-count data. Typically, the genome is divided into tiling windows and windowed read-count data is generated for the entire geno...

journal_title：BMC bioinformatics

authors： Wang W,Sun W,Wang W,Szatkiewicz J

更新日期：2018-03-01 00:00:00

abstract：BACKGROUND:The development of high-throughput sequencing and analysis has accelerated multi-omics studies of thousands of microbial species, metagenomes, and infectious disease pathogens. Omics studies are enabling genotype-phenotype association studies which identify genetic determinants of pathogen virulence and drug...

journal_title：BMC bioinformatics

authors： Singh I,Kuscuoglu M,Harkins DM,Sutton G,Fouts DE,Nelson KE

更新日期：2019-01-07 00:00:00

abstract：BACKGROUND:The UNO/RIC Nanopore Detector provides a new way to study the binding and conformational changes of individual antibodies. Many critical questions regarding antibody function are still unresolved, questions that can be approached in a new way with the nanopore detector. RESULTS:We present evidence that diff...

journal_title：BMC bioinformatics

authors： Winters-Hilt S,Morales E,Amin I,Stoyanov A

更新日期：2007-11-01 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:Copy number variants (CNVs) have been demonstrated to occur at a high frequency and are now widely believed to make a significant contribution to the phenotypic variation in human populations. Array-based comparative genomic hybridization (array-CGH) and newly developed read-depth approach through ultrahigh ...

journal_title：BMC bioinformatics

authors： Zhang ZD,Gerstein MB

更新日期：2010-10-31 00:00:00

abstract：BACKGROUND:The efficiency of lymph nodes depends on tissue structure and organization, which allow the coordination of lymphocyte traffic. Despite their essential role, our understanding of lymph node specific mechanisms is still incomplete and currently a topic of intense research. RESULTS:In this paper, we present a...

journal_title：BMC bioinformatics

authors： Baldazzi V,Paci P,Bernaschi M,Castiglione F

更新日期：2009-11-25 00:00:00

abstract：BACKGROUND:Metabolomics experiments using Mass Spectrometry (MS) technology measure the mass to charge ratio (m/z) and intensity of ionised molecules in crude extracts of complex biological samples to generate high dimensional metabolite 'fingerprint' or metabolite 'profile' data. High resolution MS instruments perform...

journal_title：BMC bioinformatics

authors： Draper J,Enot DP,Parker D,Beckmann M,Snowdon S,Lin W,Zubair H

更新日期：2009-07-21 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:A phylogeny postulates shared ancestry relationships among organisms in the form of a binary tree. Phylogenies attempt to answer an important question posed in biology: what are the ancestor-descendent relationships between organisms? At the core of every biological problem lies a phylogenetic component. The...

journal_title：BMC bioinformatics

authors： Varón A,Wheeler WC

更新日期：2013-02-26 00:00:00

abstract：BACKGROUND:Prioritizing disease genes is trying to identify potential disease causing genes for a given phenotype, which can be applied to reveal the inherited basis of human diseases and facilitate drug development. Our motivation is inspired by label propagation algorithm and the false positive protein-protein intera...

journal_title：BMC bioinformatics

authors： Zhang Y,Liu J,Liu X,Fan X,Hong Y,Wang Y,Huang Y,Xie M

更新日期：2018-02-08 00:00:00

abstract：BACKGROUND:Logic Learning Machine (LLM) is an innovative method of supervised analysis capable of constructing models based on simple and intelligible rules. In this investigation the performance of LLM in classifying patients with cancer was evaluated using a set of eight publicly available gene expression databases f...

journal_title：BMC bioinformatics

authors： Verda D,Parodi S,Ferrari E,Muselli M

更新日期：2019-11-22 00:00:00

abstract：BACKGROUND:Identification of expression quantitative trait loci (eQTLs) is an emerging area in genomic study. The task requires an integrated analysis of genome-wide single nucleotide polymorphism (SNP) data and gene expression data, raising a new computational challenge due to the tremendous size of data. RESULTS:We ...

journal_title：BMC bioinformatics

authors： Chang HH,McGeachie M,Alterovitz G,Ramoni MF

更新日期：2010-10-28 00:00:00

abstract：BACKGROUND:The reconstruction of reliable graphical models from observational data is important in bioinformatics and other computational fields applying network reconstruction methods to large, yet finite datasets. The main network reconstruction approaches are either based on Bayesian scores, which enable the ranking...

journal_title：BMC bioinformatics

authors： Affeldt S,Verny L,Isambert H

更新日期：2016-01-20 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:Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively loose correlations should be excluded from the clusters. However, in the literature there is little work dedicated to this area of research. On...

journal_title：BMC bioinformatics

authors： Yuan Y,Li CT,Wilson R

更新日期：2008-06-18 00:00:00

abstract：BACKGROUND:Observed levels of gene expression strongly depend on both activity of DNA binding transcription factors (TFs) and chromatin state through different histone modifications (HMs). In order to recover the functional relationship between local chromatin state, TF binding and observed levels of gene expression, r...

journal_title：BMC bioinformatics

authors： Aflakparast M,Geeven G,de Gunst MCM

更新日期：2020-01-02 00:00:00

abstract：BACKGROUND:Recently copy number variation (CNV) has gained considerable interest as a type of genomic/genetic variation that plays an important role in disease susceptibility. Advances in sequencing technology have created an opportunity for detecting CNVs more accurately. Recently whole exome sequencing (WES) has beco...

journal_title：BMC bioinformatics

authors： Zare F,Dow M,Monteleone N,Hosny A,Nabavi S

更新日期：2017-05-31 00:00:00

abstract：BACKGROUND:Protein-protein interactions (PPIs) can offer compelling evidence for protein function, especially when viewed in the context of proteome-wide interactomes. Bacteria have been popular subjects of interactome studies: more than six different bacterial species have been the subjects of comprehensive interactom...

journal_title：BMC bioinformatics

authors： Caufield JH,Wimble C,Shary S,Wuchty S,Uetz P

更新日期：2017-03-16 00:00:00

abstract：BACKGROUND:Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects variability in phenotype values across genotypes, as opposed to typical GWAS analysis, which detects v...

journal_title：BMC bioinformatics

authors： Al Kawam A,Alshawaqfeh M,Cai JJ,Serpedin E,Datta A

更新日期：2018-03-21 00:00:00

abstract：BACKGROUND:De Bruijn graphs are key data structures for the analysis of next-generation sequencing data. They efficiently represent the overlap between reads and hence, also the underlying genome sequence. However, sequencing errors and repeated subsequences render the identification of the true underlying sequence dif...

journal_title：BMC bioinformatics

authors： Steyaert A,Audenaert P,Fostier J

更新日期：2020-09-14 00:00:00

abstract：BACKGROUND:Over the last decade, next generation sequencing (NGS) has become widely available, and is now the sequencing technology of choice for most researchers. Nonetheless, NGS presents a challenge for the evolutionary biologists who wish to estimate evolutionary genetic parameters from a mixed sample of unlabelled...

journal_title：BMC bioinformatics

authors： Wu SH,Rodrigo AG

更新日期：2015-11-04 00:00:00