Data warehousing in molecular biology.

Abstract:

:In the business and healthcare sectors data warehousing has provided effective solutions for information usage and knowledge discovery from databases. However, data warehousing applications in the biological research and development (R&D) sector are lagging far behind. The fuzziness and complexity of biological data represent a major challenge in data warehousing for molecular biology. By combining experiences in other domains with our findings from building a model database, we have defined the requirements for data warehousing in molecular biology.

journal_name

Brief Bioinform

authors

Schönbach C,Kowalski-Saunders P,Brusic V

doi

10.1093/bib/1.2.190

keywords:

subject

Has Abstract

pub_date

2000-05-01 00:00:00

pages

190-8

issue

2

eissn

1467-5463

issn

1477-4054

journal_volume

1

pub_type

杂志文章
  • Pattern recognition analysis on long noncoding RNAs: a tool for prediction in plants.

    abstract:MOTIVATION:Long noncoding RNAs (lncRNAs) correspond to a eukaryotic noncoding RNA class that gained great attention in the past years as a higher layer of regulation for gene expression in cells. There is, however, a lack of specific computational approaches to reliably predict lncRNA in plants, which contrast the vari...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bby034

    authors: Negri TDC,Alves WAL,Bugatti PH,Saito PTM,Domingues DS,Paschoal AR

    更新日期:2019-03-25 00:00:00

  • Links between kinetic data and sequences in the alpha/beta-hydrolases fold database.

    abstract::While the number of sequenced genes is increasing dramatically, the number of different protein structural families is expected to be more limited. Changes in enzymatic activity or protein interactions can dramatically modify the role of homologous proteins in different organisms or mutants. However, experimental data...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/2.1.30

    authors: Chatonnet A,Cousin X,Robinson A

    更新日期:2001-03-01 00:00:00

  • Capacity building for whole genome sequencing of Mycobacterium tuberculosis and bioinformatics in high TB burden countries.

    abstract:BACKGROUND:Whole genome sequencing (WGS) is increasingly used for Mycobacterium tuberculosis (Mtb) research. Countries with the highest tuberculosis (TB) burden face important challenges to integrate WGS into surveillance and research. METHODS:We assessed the global status of Mtb WGS and developed a 3-week training co...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa246

    authors: Rivière E,Heupink TH,Ismail N,Dippenaar A,Clarke C,Abebe G,Heusden P,Warren R,Meehan CJ,Van Rie A

    更新日期:2020-10-03 00:00:00

  • Computational recognition for long non-coding RNA (lncRNA): Software and databases.

    abstract::Since the completion of the Human Genome Project, it has been widely established that most DNA is not transcribed into proteins. These non-protein-coding regions are believed to be moderators within transcriptional and post-transcriptional processes, which play key roles in the onset of diseases. Long non-coding RNAs ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbv114

    authors: Yotsukura S,duVerle D,Hancock T,Natsume-Kitatani Y,Mamitsuka H

    更新日期:2017-01-01 00:00:00

  • Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media.

    abstract::Drug-drug interactions (DDIs) constitute an important concern in drug development and postmarketing pharmacovigilance. They are considered the cause of many adverse drug effects exposing patients to higher risks and increasing public health system costs. Methods to follow-up and discover possible DDIs causing harm to ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbx010

    authors: Vilar S,Friedman C,Hripcsak G

    更新日期:2018-09-28 00:00:00

  • A review of bioinformatics education in the UK.

    abstract::If the completion of the first draft of the human genome represents the coming of age of bioinformatics, then the emergence of bioinformatics as a university degree subject represents its establishment. In this paper bioinformatics as a subject for formal study is discussed, rather than as a subject for research, and ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/4.1.7

    authors: Counsell D

    更新日期:2003-03-01 00:00:00

  • Evaluation of research in biomedical ontologies.

    abstract::Ontologies are now pervasive in biomedicine, where they serve as a means to standardize terminology, to enable access to domain knowledge, to verify data consistency and to facilitate integrative analyses over heterogeneous biomedical data. For this purpose, research on biomedical ontologies applies theories and metho...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbs053

    authors: Hoehndorf R,Dumontier M,Gkoutos GV

    更新日期:2013-11-01 00:00:00

  • Conceptual and computational framework for logical modelling of biological networks deregulated in diseases.

    abstract::Mathematical models can serve as a tool to formalize biological knowledge from diverse sources, to investigate biological questions in a formal way, to test experimental hypotheses, to predict the effect of perturbations and to identify underlying mechanisms. We present a pipeline of computational tools that performs ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbx163

    authors: Montagud A,Traynard P,Martignetti L,Bonnet E,Barillot E,Zinovyev A,Calzone L

    更新日期:2019-07-19 00:00:00

  • Benchmarking computational tools for polymorphic transposable element detection.

    abstract::Transposable elements (TEs) are an important source of human genetic variation with demonstrable effects on phenotype. Recently, a number of computational methods for the detection of polymorphic TE (polyTE) insertion sites from next-generation sequence data have been developed. The use of such tools will become incre...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbw072

    authors: Rishishwar L,Mariño-Ramírez L,Jordan IK

    更新日期:2017-11-01 00:00:00

  • BamView: visualizing and interpretation of next-generation sequencing read alignments.

    abstract:UNLABELLED:So-called next-generation sequencing (NGS) has provided the ability to sequence on a massive scale at low cost, enabling biologists to perform powerful experiments and gain insight into biological processes. BamView has been developed to visualize and analyse sequence reads from NGS platforms, which have bee...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbr073

    authors: Carver T,Harris SR,Otto TD,Berriman M,Parkhill J,McQuillan JA

    更新日期:2013-03-01 00:00:00

  • MITGARD: an automated pipeline for mitochondrial genome assembly in eukaryotic species using RNA-seq data.

    abstract:MOTIVATION:Over the past decade, the field of next-generation sequencing (NGS) has seen dramatic advances in methods and a decrease in costs. Consequently, a large expansion of data has been generated by NGS, most of which have originated from RNA-sequencing (RNA-seq) experiments. Because mitochondrial genes are expres...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa429

    authors: Nachtigall PG,Grazziotin FG,Junqueira-de-Azevedo ILM

    更新日期:2021-01-30 00:00:00

  • Biodiversity informatics: organizing and linking information across the spectrum of life.

    abstract::Biological knowledge can be inferred from three major levels of information: molecules, organisms and ecologies. Bioinformatics is an established field that has made significant advances in the development of systems and techniques to organize contemporary molecular data; biodiversity informatics is an emerging discip...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbm037

    authors: Sarkar IN

    更新日期:2007-09-01 00:00:00

  • Genome assembly reborn: recent computational challenges.

    abstract::Research into genome assembly algorithms has experienced a resurgence due to new challenges created by the development of next generation sequencing technologies. Several genome assemblers have been published in recent years specifically targeted at the new sequence data; however, the ever-changing technological lands...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbp026

    authors: Pop M

    更新日期:2009-07-01 00:00:00

  • Gene set analysis methods for the functional interpretation of non-mRNA data-Genomic range and ncRNA data.

    abstract::Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics studies; however, it has been mainly developed to analyze mRNA (microarray, RNA-Seq) data. The following review includes an update regarding general methods and resources for GSA and then emphasizes GSA methods and tools...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz090

    authors: Mora A

    更新日期:2020-09-25 00:00:00

  • Automated glycopeptide analysis--review of current state and future directions.

    abstract::Glycosylation of proteins is involved in immune defense, cell-cell adhesion, cellular recognition and pathogen binding and is one of the most common and complex post-translational modifications. Science is still struggling to assign detailed mechanisms and functions to this form of conjugation. Even the structural ana...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbs045

    authors: Dallas DC,Martin WF,Hua S,German JB

    更新日期:2013-05-01 00:00:00

  • A feature-based approach to predict hot spots in protein-DNA binding interfaces.

    abstract::DNA-binding hot spot residues of proteins are dominant and fundamental interface residues that contribute most of the binding free energy of protein-DNA interfaces. As experimental methods for identifying hot spots are expensive and time consuming, computational approaches are urgently required in predicting hot spots...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz037

    authors: Zhang S,Zhao L,Zheng CH,Xia J

    更新日期:2020-05-21 00:00:00

  • Toward more realistic drug-target interaction predictions.

    abstract::A number of supervised machine learning models have recently been introduced for the prediction of drug-target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning of drugs for new t...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbu010

    authors: Pahikkala T,Airola A,Pietilä S,Shakyawar S,Szwajda A,Tang J,Aittokallio T

    更新日期:2015-03-01 00:00:00

  • Computational aspects of host-parasite phylogenies.

    abstract::Computational aspects of host-parasite phylogenies form part of a set of general associations between areas and organisms, hosts and parasites, and species and genes. The problem is not new and the commonalities of exploring vicariance biogeography (organisms tracking areas) and host-parasite co-speciation (parasites ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/5.4.339

    authors: Stevens J

    更新日期:2004-12-01 00:00:00

  • A bi-Poisson model for clustering gene expression profiles by RNA-seq.

    abstract::With the availability of gene expression data by RNA-seq, powerful statistical approaches for grouping similar gene expression profiles across different environments have become increasingly important. We describe and assess a computational model for clustering genes into distinct groups based on the pattern of gene e...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbt029

    authors: Wang N,Wang Y,Hao H,Wang L,Wang Z,Wang J,Wu R

    更新日期:2014-07-01 00:00:00

  • Comparison and integration of computational methods for deleterious synonymous mutation prediction.

    abstract::Synonymous mutations do not change the encoded amino acids but may alter the structure or function of an mRNA in ways that impact gene function. Advances in next generation sequencing technologies have detected numerous synonymous mutations in the human genome. Several computational models have been proposed to predic...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz047

    authors: Cheng N,Li M,Zhao L,Zhang B,Yang Y,Zheng CH,Xia J

    更新日期:2020-05-21 00:00:00

  • A computing platform to map ecological metabolism by integrating functional mapping and the metabolic theory of ecology.

    abstract::Whole-organism metabolic rate co-varies allometrically with body mass, and is also affected by temperature through different biochemical mechanisms. Here we implement a computational platform to map specific quantitative trait loci (QTLs) that govern the dependence of metabolic rate on size and temperature. The model ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbv116

    authors: Yan Q,Zhu X,Jiang L,Ye M,Sun L,Terblanche JS,Wu R

    更新日期:2017-01-01 00:00:00

  • Towards a comprehensive picture of the genetic landscape of complex traits.

    abstract::The formation of phenotypic traits, such as biomass production, tumor volume and viral abundance, undergoes a complex process in which interactions between genes and developmental stimuli take place at each level of biological organization from cells to organisms. Traditional studies emphasize the impact of genes by d...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbs049

    authors: Wang Z,Wang Y,Wang N,Wang J,Wang Z,Vallejos CE,Wu R

    更新日期:2014-01-01 00:00:00

  • FINDSITE: a combined evolution/structure-based approach to protein function prediction.

    abstract::A key challenge of the post-genomic era is the identification of the function(s) of all the molecules in a given organism. Here, we review the status of sequence and structure-based approaches to protein function inference and ligand screening that can provide functional insights for a significant fraction of the appr...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbp017

    authors: Skolnick J,Brylinski M

    更新日期:2009-07-01 00:00:00

  • Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.

    abstract::The bipartite network representation of the drug-target interactions (DTIs) in a biosystem enhances understanding of the drugs' multifaceted action modes, suggests therapeutic switching for approved drugs and unveils possible side effects. As experimental testing of DTIs is costly and time-consuming, computational pre...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbx041

    authors: Durán C,Daminelli S,Thomas JM,Haupt VJ,Schroeder M,Cannistraci CV

    更新日期:2018-11-27 00:00:00

  • Computational methods for Gene Orthology inference.

    abstract::Accurate inference of orthologous genes is a pre-requisite for most comparative genomics studies, and is also important for functional annotation of new genomes. Identification of orthologous gene sets typically involves phylogenetic tree analysis, heuristic algorithms based on sequence conservation, synteny analysis,...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbr030

    authors: Kristensen DM,Wolf YI,Mushegian AR,Koonin EV

    更新日期:2011-09-01 00:00:00

  • MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.

    abstract::Effectively representing Medical Subject Headings (MeSH) headings (terms) such as disease and drug as discriminative vectors could greatly improve the performance of downstream computational prediction models. However, these terms are often abstract and difficult to quantify. In this paper, we converted the MeSH tree ...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa037

    authors: Guo ZH,You ZH,Huang DS,Yi HC,Zheng K,Chen ZH,Wang YB

    更新日期:2020-03-31 00:00:00

  • Comparison of haplotype-based tests for detecting gene-environment interactions with rare variants.

    abstract::Dissecting the genetic mechanism underlying a complex disease hinges on discovering gene-environment interactions (GXE). However, detecting GXE is a challenging problem especially when the genetic variants under study are rare. Haplotype-based tests have several advantages over the so-called collapsing tests for detec...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbz031

    authors: Papachristou C,Biswas S

    更新日期:2020-05-21 00:00:00

  • DeepAtomicCharge: a new graph convolutional network-based architecture for accurate prediction of atomic charges.

    abstract::Atomic charges play a very important role in drug-target recognition. However, computation of atomic charges with high-level quantum mechanics (QM) calculations is very time-consuming. A number of machine learning (ML)-based atomic charge prediction methods have been proposed to speed up the calculation of high-accura...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa183

    authors: Wang J,Cao D,Tang C,Xu L,He Q,Yang B,Chen X,Sun H,Hou T

    更新日期:2020-08-25 00:00:00

  • A survey of sequence alignment algorithms for next-generation sequencing.

    abstract::Rapidly evolving sequencing technologies produce data on an unparalleled scale. A central challenge to the analysis of this data is sequence alignment, whereby sequence reads must be compared to a reference. A wide variety of alignment algorithms and software have been subsequently developed over the past two years. I...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1093/bib/bbq015

    authors: Li H,Homer N

    更新日期:2010-09-01 00:00:00

  • The mechanistic, diagnostic and therapeutic novel nucleic acids for hepatocellular carcinoma emerging in past score years.

    abstract::Despite The Central Dogma states the destiny of gene as 'DNA makes RNA and RNA makes protein', the nucleic acids not only store and transmit genetic information but also, surprisingly, join in intracellular vital movement as a regulator of gene expression. Bioinformatics has contributed to knowledge for a series of em...

    journal_title:Briefings in bioinformatics

    pub_type: 杂志文章

    doi:10.1093/bib/bbaa023

    authors: Zhang S,Zhou Y,Wang Y,Wang Z,Xiao Q,Zhang Y,Lou Y,Qiu Y,Zhu F

    更新日期:2020-04-06 00:00:00