New challenges for text mining: mapping between text and manually curated pathways.

Abstract:

BACKGROUND:Associating literature with pathways poses new challenges to the Text Mining (TM) community. There are three main challenges to this task: (1) the identification of the mapping position of a specific entity or reaction in a given pathway, (2) the recognition of the causal relationships among multiple reactions, and (3) the formulation and implementation of required inferences based on biological domain knowledge. RESULTS:To address these challenges, we constructed new resources to link the text with a model pathway; they are: the GENIA pathway corpus with event annotation and NF-kB pathway. Through their detailed analysis, we address the untapped resource, 'bio-inference,' as well as the differences between text and pathway representation. Here, we show the precise comparisons of their representations and the nine classes of 'bio-inference' schemes observed in the pathway corpus. CONCLUSIONS:We believe that the creation of such rich resources and their detailed analysis is the significant first step for accelerating the research of the automatic construction of pathway from text.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Oda K,Kim JD,Ohta T,Okanohara D,Matsuzaki T,Tateisi Y,Tsujii J

doi

10.1186/1471-2105-9-S3-S5

subject

Has Abstract

pub_date

2008-04-11 00:00:00

pages

S5

issn

1471-2105

pii

1471-2105-9-S3-S5

journal_volume

9 Suppl 3

pub_type

杂志文章
  • Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma.

    abstract:BACKGROUND:One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used unsupervised deep learning to learn the hierarchical structure within cancer gene expression data. Deep...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1798-2

    authors: Young JD,Cai C,Lu X

    更新日期:2017-10-03 00:00:00

  • Visualizing complex feature interactions and feature sharing in genomic deep neural networks.

    abstract:BACKGROUND:Visualization tools for deep learning models typically focus on discovering key input features without considering how such low level features are combined in intermediate layers to make decisions. Moreover, many of these methods examine a network's response to specific input examples that may be insufficien...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2957-4

    authors: Liu G,Zeng H,Gifford DK

    更新日期:2019-07-19 00:00:00

  • Bias detection and correction in RNA-Sequencing data.

    abstract:BACKGROUND:High throughput sequencing technology provides us unprecedented opportunities to study transcriptome dynamics. Compared to microarray-based gene expression profiling, RNA-Seq has many advantages, such as high resolution, low background, and ability to identify novel transcripts. Moreover, for genes with mult...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-290

    authors: Zheng W,Chung LM,Zhao H

    更新日期:2011-07-19 00:00:00

  • LAVA: an open-source approach to designing LAMP (loop-mediated isothermal amplification) DNA signatures.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-240

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

    更新日期:2011-06-16 00:00:00

  • JISTIC: identification of significant targets in cancer.

    abstract:BACKGROUND:Cancer is caused through a multistep process, in which a succession of genetic changes, each conferring a competitive advantage for growth and proliferation, leads to the progressive conversion of normal human cells into malignant cancer cells. Interrogation of cancer genomes holds the promise of understandi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-189

    authors: Sanchez-Garcia F,Akavia UD,Mozes E,Pe'er D

    更新日期:2010-04-14 00:00:00

  • Inferring gene expression dynamics via functional regression analysis.

    abstract:BACKGROUND:Temporal gene expression profiles characterize the time-dynamics of expression of specific genes and are increasingly collected in current gene expression experiments. In the analysis of experiments where gene expression is obtained over the life cycle, it is of interest to relate temporal patterns of gene e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-60

    authors: Müller HG,Chiou JM,Leng X

    更新日期:2008-01-28 00:00:00

  • The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-52

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

    更新日期:2008-01-25 00:00:00

  • Statistical shape analysis of tap roots: a methodological case study on laser scanned sugar beets.

    abstract:BACKGROUND:The efficient and robust statistical analysis of the shape of plant organs of different cultivars is an important investigation issue in plant breeding and enables a robust cultivar description within the breeding progress. Laserscanning is a highly accurate and high resolution technique to acquire the 3D sh...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03654-8

    authors: Heeren B,Paulus S,Goldbach H,Kuhlmann H,Mahlein AK,Rumpf M,Wirth B

    更新日期:2020-07-29 00:00:00

  • Localizing triplet periodicity in DNA and cDNA sequences.

    abstract:BACKGROUND:The protein-coding regions (coding exons) of a DNA sequence exhibit a triplet periodicity (TP) due to fact that coding exons contain a series of three nucleotide codons that encode specific amino acid residues. Such periodicity is usually not observed in introns and intergenic regions. If a DNA sequence is d...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-550

    authors: Wang L,Stein LD

    更新日期:2010-11-08 00:00:00

  • Evaluating eukaryotic secreted protein prediction.

    abstract:BACKGROUND:Improvements in protein sequence annotation and an increase in the number of annotated protein databases has fueled development of an increasing number of software tools to predict secreted proteins. Six software programs capable of high throughput and employing a wide range of prediction methods, SignalP 3....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-256

    authors: Klee EW,Ellis LB

    更新日期:2005-10-14 00:00:00

  • Classification of viral zoonosis through receptor pattern analysis.

    abstract:BACKGROUND:Viral zoonosis, the transmission of a virus from its primary vertebrate reservoir species to humans, requires ubiquitous cellular proteins known as receptor proteins. Zoonosis can occur not only through direct transmission from vertebrates to humans, but also through intermediate reservoirs or other environm...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-96

    authors: Bae SE,Son HS

    更新日期:2011-04-13 00:00:00

  • Predicting the interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service.

    abstract:BACKGROUND:Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interactions and pathogenicity occur through PPIs. Phytopathogenic bacteria infect hosts through attachment to host tissue, enzyme secretion, exopolysa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-41

    authors: Kim JG,Park D,Kim BC,Cho SW,Kim YT,Park YJ,Cho HJ,Park H,Kim KB,Yoon KO,Park SJ,Lee BM,Bhak J

    更新日期:2008-01-24 00:00:00

  • Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

    abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03691-3

    authors: Zengin T,Önal-Süzek T

    更新日期:2020-09-30 00:00:00

  • Selection of optimal reference genes for normalization in quantitative RT-PCR.

    abstract:BACKGROUND:Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this inna...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-253

    authors: Chervoneva I,Li Y,Schulz S,Croker S,Wilson C,Waldman SA,Hyslop T

    更新日期:2010-05-14 00:00:00

  • Assessment of k-mer spectrum applicability for metagenomic dissimilarity analysis.

    abstract:BACKGROUND:A rapidly increasing flow of genomic data requires the development of efficient methods for obtaining its compact representation. Feature extraction facilitates classification, clustering and model analysis for testing and refining biological hypotheses. "Shotgun" metagenome is an analytically challenging ty...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0875-7

    authors: Dubinkina VB,Ischenko DS,Ulyantsev VI,Tyakht AV,Alexeev DG

    更新日期:2016-01-16 00:00:00

  • An algorithm for automated closure during assembly.

    abstract:BACKGROUND:Finishing is the process of improving the quality and utility of draft genome sequences generated by shotgun sequencing and computational assembly. Finishing can involve targeted sequencing. Finishing reads may be incorporated by manual or automated means. One automated method uses targeted addition by local...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-457

    authors: Koren S,Miller JR,Walenz BP,Sutton G

    更新日期:2010-09-10 00:00:00

  • GenomeBlast: a web tool for small genome comparison.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-S4-S18

    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

  • The rise and fall of breakpoint reuse depending on genome resolution.

    abstract:BACKGROUND:During evolution, large-scale genome rearrangements of chromosomes shuffle the order of homologous genome sequences ("synteny blocks") across species. Some years ago, a controversy erupted in genome rearrangement studies over whether rearrangements recur, causing breakpoints to be reused. METHODS:We investi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S9-S1

    authors: Attie O,Darling AE,Yancopoulos S

    更新日期:2011-10-05 00:00:00

  • OpWise: operons aid the identification of differentially expressed genes in bacterial microarray experiments.

    abstract:BACKGROUND:Differentially expressed genes are typically identified by analyzing the variation between replicate measurements. These procedures implicitly assume that there are no systematic errors in the data even though several sources of systematic error are known. RESULTS:OpWise estimates the amount of systematic e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-19

    authors: Price MN,Arkin AP,Alm EJ

    更新日期:2006-01-13 00:00:00

  • EVEREST: automatic identification and classification of protein domains in all protein sequences.

    abstract:BACKGROUND:Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Whereas sequencing technologies have advanced immensely in recent years, there are no matching computational methodologies for large-scale determina...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-277

    authors: Portugaly E,Harel A,Linial N,Linial M

    更新日期:2006-06-02 00:00:00

  • Learning smoothing models of copy number profiles using breakpoint annotations.

    abstract:BACKGROUND:Many models have been proposed to detect copy number alterations in chromosomal copy number profiles, but it is usually not obvious to decide which is most effective for a given data set. Furthermore, most methods have a smoothing parameter that determines the number of breakpoints and must be chosen using v...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-164

    authors: Hocking TD,Schleiermacher G,Janoueix-Lerosey I,Boeva V,Cappo J,Delattre O,Bach F,Vert JP

    更新日期:2013-05-22 00:00:00

  • Accurate determination of node and arc multiplicities in de bruijn graphs using conditional random fields.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03740-x

    authors: Steyaert A,Audenaert P,Fostier J

    更新日期:2020-09-14 00:00:00

  • m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co-methylation network.

    abstract:BACKGROUND:Over one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methylation, especially N6-methyladenosine, has become one of the most researched topics in epigenetics. ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2840-3

    authors: Wu X,Wei Z,Chen K,Zhang Q,Su J,Liu H,Zhang L,Meng J

    更新日期:2019-05-02 00:00:00

  • Sigma-RF: prediction of the variability of spatial restraints in template-based modeling by random forest.

    abstract:BACKGROUND:In template-based modeling when using a single template, inter-atomic distances of an unknown protein structure are assumed to be distributed by Gaussian probability density functions, whose center peaks are located at the distances between corresponding atoms in the template structure. The width of the Gaus...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0526-z

    authors: Lee J,Lee K,Joung I,Joo K,Brooks BR,Lee J

    更新日期:2015-03-21 00:00:00

  • Quantitative prediction of the effect of genetic variation using hidden Markov models.

    abstract:BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-5

    authors: Liu M,Watson LT,Zhang L

    更新日期:2014-01-09 00:00:00

  • Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments.

    abstract:BACKGROUND:High-throughput sequencing technologies, such as the Illumina Genome Analyzer, are powerful new tools for investigating a wide range of biological and medical questions. Statistical and computational methods are key for drawing meaningful and accurate conclusions from the massive and complex datasets generat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-94

    authors: Bullard JH,Purdom E,Hansen KD,Dudoit S

    更新日期:2010-02-18 00:00:00

  • E-CAI: a novel server to estimate an expected value of Codon Adaptation Index (eCAI).

    abstract:BACKGROUND:The Codon Adaptation Index (CAI) is a measure of the synonymous codon usage bias for a DNA or RNA sequence. It quantifies the similarity between the synonymous codon usage of a gene and the synonymous codon frequency of a reference set. Extreme values in the nucleotide or in the amino acid composition have a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-65

    authors: Puigbò P,Bravo IG,Garcia-Vallvé S

    更新日期:2008-01-29 00:00:00

  • Local search for the generalized tree alignment problem.

    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

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-66

    authors: Varón A,Wheeler WC

    更新日期:2013-02-26 00:00:00

  • A novel statistical approach for identification of the master regulator transcription factor.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1499-x

    authors: Sikdar S,Datta S

    更新日期:2017-02-02 00:00:00

  • Identification of CD8+ T cell epitopes through proteasome cleavage site predictions.

    abstract:BACKGROUND:We previously introduced PCPS (Proteasome Cleavage Prediction Server), a web-based tool to predict proteasome cleavage sites using n-grams. Here, we evaluated the ability of PCPS immunoproteasome cleavage model to discriminate CD8+ T cell epitopes. RESULTS:We first assembled an epitope dataset consisting of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03782-1

    authors: Gomez-Perosanz M,Ras-Carmona A,Lafuente EM,Reche PA

    更新日期:2020-12-14 00:00:00