"METAGENOTE: a simplified web platform for metadata annotation of genomic samples and streamlined submission to NCBI's sequence read archive".

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 become publicly available with standardized metadata. The availability of data at public archives provides the hope that greater insights could be obtained through integration with multi-omics data, reproducibility of published studies, or meta-analyses of large diverse datasets. These datasets should include a description of the host, organism, environmental source of the specimen, spatial-temporal information and other relevant metadata, but unfortunately these attributes are often missing and when present, they show inconsistencies in the use of metadata standards and ontologies. RESULTS:METAGENOTE ( https://metagenote.niaid.nih.gov ) is a web portal that greatly facilitates the annotation of samples from genomic studies and streamlines the submission process of sequencing files and metadata to the Sequence Read Archive (SRA) (Leinonen R, et al, Nucleic Acids Res, 39:D19-21, 2011) for public access. This platform offers a wide selection of packages for different types of biological and experimental studies with a special emphasis on the standardization of metadata reporting. These packages follow the guidelines from the MIxS standards developed by the Genomics Standard Consortium (GSC) and adopted by the three partners of the International Nucleotides Sequencing Database Collaboration (INSDC) (Cochrane G, et al, Nucleic Acids Res, 44:D48-50, 2016) - National Center for Biotechnology Information (NCBI), European Bioinformatics Institute (EBI) and the DNA Data Bank of Japan (DDBJ). METAGENOTE then compiles, validates and manages the submission through an easy-to-use web interface minimizing submission errors and eliminating the need for submitting sequencing files via a separate file transfer mechanism. CONCLUSIONS:METAGENOTE is a public resource that focuses on simplifying the annotation and submission process of data with its corresponding metadata. Users of METAGENOTE will benefit from the easy to use annotation interface but most importantly will be encouraged to publish metadata following standards and ontologies that make the public data available for reuse.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

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

doi

10.1186/s12859-020-03694-0

subject

Has Abstract

pub_date

2020-09-03 00:00:00

pages

378

issue

1

issn

1471-2105

pii

10.1186/s12859-020-03694-0

journal_volume

21

pub_type

杂志文章
  • ConEVA: a toolbox for comprehensive assessment of protein contacts.

    abstract:BACKGROUND:In recent years, successful contact prediction methods and contact-guided ab initio protein structure prediction methods have highlighted the importance of incorporating contact information into protein structure prediction methods. It is also observed that for almost all globular proteins, the quality of co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1404-z

    authors: Adhikari B,Nowotny J,Bhattacharya D,Hou J,Cheng J

    更新日期:2016-12-07 00:00:00

  • CNN-based ranking for biomedical entity normalization.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1805-7

    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

  • Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data.

    abstract:BACKGROUND:A survey of presences and absences of specific species across multiple biogeographic units (or bioregions) are used in a broad area of biological studies from ecology to microbiology. Using binary presence-absence data, we evaluate species co-occurrences that help elucidate relationships among organisms and ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3118-5

    authors: Chung NC,Miasojedow B,Startek M,Gambin A

    更新日期:2019-12-24 00:00:00

  • Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data.

    abstract:BACKGROUND:The wide use of high-throughput DNA microarray technology provide an increasingly detailed view of human transcriptome from hundreds to thousands of genes. Although biomedical researchers typically design microarray experiments to explore specific biological contexts, the relationships between genes are hard...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S5-S7

    authors: Kong W,Mou X,Hu X

    更新日期:2011-01-01 00:00:00

  • GenHtr: a tool for comparative assessment of genetic heterogeneity in microbial genomes generated by massive short-read sequencing.

    abstract:BACKGROUND:Microevolution is the study of short-term changes of alleles within a population and their effects on the phenotype of organisms. The result of the below-species-level evolution is heterogeneity, where populations consist of subpopulations with a large number of structural variations. Heterogeneity analysis ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-508

    authors: Yu G

    更新日期:2010-10-12 00:00:00

  • MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data.

    abstract:BACKGROUND:Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-395

    authors: Pluskal T,Castillo S,Villar-Briones A,Oresic M

    更新日期:2010-07-23 00:00:00

  • Glycosylator: a Python framework for the rapid modeling of glycans.

    abstract:BACKGROUND:Carbohydrates are a class of large and diverse biomolecules, ranging from a simple monosaccharide to large multi-branching glycan structures. The covalent linkage of a carbohydrate to the nitrogen atom of an asparagine, a process referred to as N-linked glycosylation, plays an important role in the physiolog...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3097-6

    authors: Lemmin T,Soto C

    更新日期:2019-10-22 00:00:00

  • Reranking candidate gene models with cross-species comparison for improved gene prediction.

    abstract:BACKGROUND:Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-433

    authors: Liu Q,Crammer K,Pereira FC,Roos DS

    更新日期:2008-10-14 00:00:00

  • 3off2: A network reconstruction algorithm based on 2-point and 3-point information statistics.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0856-x

    authors: Affeldt S,Verny L,Isambert H

    更新日期:2016-01-20 00:00:00

  • Is searching full text more effective than searching abstracts?

    abstract:BACKGROUND:With the growing availability of full-text articles online, scientists and other consumers of the life sciences literature now have the ability to go beyond searching bibliographic records (title, abstract, metadata) to directly access full-text content. Motivated by this emerging trend, I posed the followin...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-46

    authors: Lin J

    更新日期:2009-02-03 00:00:00

  • An improved string composition method for sequence comparison.

    abstract:BACKGROUND:Historically, two categories of computational algorithms (alignment-based and alignment-free) have been applied to sequence comparison-one of the most fundamental issues in bioinformatics. Multiple sequence alignment, although dominantly used by biologists, possesses both fundamental as well as computational...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-S6-S15

    authors: Lu G,Zhang S,Fang X

    更新日期:2008-05-28 00:00:00

  • Visualising very large phylogenetic trees in three dimensional hyperbolic space.

    abstract:BACKGROUND:Common existing phylogenetic tree visualisation tools are not able to display readable trees with more than a few thousand nodes. These existing methodologies are based in two dimensional space. RESULTS:We introduce the idea of visualising phylogenetic trees in three dimensional hyperbolic space with the Wa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-48

    authors: Hughes T,Hyun Y,Liberles DA

    更新日期:2004-04-29 00:00:00

  • Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data.

    abstract:BACKGROUND:The ability to confidently predict health outcomes from gene expression would catalyze a revolution in molecular diagnostics. Yet, the goal of developing actionable, robust, and reproducible predictive signatures of phenotypes such as clinical outcome has not been attained in almost any disease area. Here, w...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3427-8

    authors: Smith AM,Walsh JR,Long J,Davis CB,Henstock P,Hodge MR,Maciejewski M,Mu XJ,Ra S,Zhao S,Ziemek D,Fisher CK

    更新日期:2020-03-20 00:00:00

  • REGULATOR: a database of metazoan transcription factors and maternal factors for developmental studies.

    abstract:BACKGROUND:Genes encoding transcription factors that constitute gene-regulatory networks and maternal factors accumulating in egg cytoplasm are two classes of essential genes that play crucial roles in developmental processes. Transcription factors control the expression of their downstream target genes by interacting ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0552-x

    authors: Wang K,Nishida H

    更新日期:2015-04-10 00:00:00

  • Sequencing error correction without a reference genome.

    abstract:BACKGROUND:Next (second) generation sequencing is an increasingly important tool for many areas of molecular biology, however, care must be taken when interpreting its output. Even a low error rate can cause a large number of errors due to the high number of nucleotides being sequenced. Identifying sequencing errors fr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-14-367

    authors: Sleep JA,Schreiber AW,Baumann U

    更新日期:2013-12-18 00:00:00

  • Use of a structural alphabet for analysis of short loops connecting repetitive structures.

    abstract:BACKGROUND:Because loops connect regular secondary structures, analysis of the former depends directly on the definition of the latter. The numerous assignment methods, however, can offer different definitions. In a previous study, we defined a structural alphabet composed of 16 average protein fragments, which we call...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-58

    authors: Fourrier L,Benros C,de Brevern AG

    更新日期:2004-05-12 00:00:00

  • Analyzing miRNA co-expression networks to explore TF-miRNA regulation.

    abstract:BACKGROUND:Current microRNA (miRNA) research in progress has engendered rapid accumulation of expression data evolving from microarray experiments. Such experiments are generally performed over different tissues belonging to a specific species of metazoan. For disease diagnosis, microarray probes are also prepared with...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-163

    authors: Bandyopadhyay S,Bhattacharyya M

    更新日期:2009-05-28 00:00:00

  • EGNAS: an exhaustive DNA sequence design algorithm.

    abstract:BACKGROUND:The molecular recognition based on the complementary base pairing of deoxyribonucleic acid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnology and DNA computing. We present an exhaustive DNA sequence design algorithm that allows to generate sets containing a maximum number of seq...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-138

    authors: Kick A,Bönsch M,Mertig M

    更新日期:2012-06-20 00:00:00

  • Scoredist: a simple and robust protein sequence distance estimator.

    abstract:BACKGROUND:Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from sequence alignments, which often involves some sort of correction for multiple substitutions. The problem is to accurately estimate the number...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-108

    authors: Sonnhammer EL,Hollich V

    更新日期:2005-04-27 00:00:00

  • Identification of markers associated with global changes in DNA methylation regulation in cancers.

    abstract::DNA methylation exhibits different patterns in different cancers. DNA methylation rates at different genomic loci appear to be highly correlated in some samples but not in others. We call such phenomena conditional concordant relationships (CCRs). In this study, we explored DNA methylation patterns in 12 common cancer...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S13-S7

    authors: Qiu P,Zhang L

    更新日期:2012-01-01 00:00:00

  • A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data.

    abstract:BACKGROUND:Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientific impact and a wide application area. Several standalone applications had been developed in order t...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-480

    authors: Corradi L,Fato M,Porro I,Scaglione S,Torterolo L

    更新日期:2008-11-13 00:00:00

  • BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data.

    abstract:BACKGROUND:The classification of cancer subtypes is of great importance to cancer disease diagnosis and therapy. Many supervised learning approaches have been applied to cancer subtype classification in the past few years, especially of deep learning based approaches. Recently, the deep forest model has been proposed a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2095-4

    authors: Guo Y,Liu S,Li Z,Shang X

    更新日期:2018-04-11 00:00:00

  • Robust joint analysis allowing for model uncertainty in two-stage genetic association studies.

    abstract:BACKGROUND:The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex diseases. Replication-based analysis, which considers data from each stage separately, often suffers from loss of efficiency. Joint test that co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-9

    authors: Pan D,Li Q,Jiang N,Liu A,Yu K

    更新日期:2011-01-07 00:00:00

  • Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus.

    abstract:BACKGROUND:Identification of differentially methylated regions (DMRs) is the initial step towards the study of DNA methylation-mediated gene regulation. Previous approaches to call DMRs suffer from false prediction, use extreme resources, and/or require library installation and input conversion. RESULTS:We developed a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2037-1

    authors: Condon DE,Tran PV,Lien YC,Schug J,Georgieff MK,Simmons RA,Won KJ

    更新日期:2018-02-05 00:00:00

  • Identifying gene and protein mentions in text using conditional random fields.

    abstract:BACKGROUND:We present a model for tagging gene and protein mentions from text using the probabilistic sequence tagging framework of conditional random fields (CRFs). Conditional random fields model the probability P(t/o) of a tag sequence given an observation sequence directly, and have previously been employed success...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-S1-S6

    authors: McDonald R,Pereira F

    更新日期:2005-01-01 00:00:00

  • Components of the antigen processing and presentation pathway revealed by gene expression microarray analysis following B cell antigen receptor (BCR) stimulation.

    abstract:BACKGROUND:Activation of naïve B lymphocytes by extracellular ligands, e.g. antigen, lipopolysaccharide (LPS) and CD40 ligand, induces a combination of common and ligand-specific phenotypic changes through complex signal transduction pathways. For example, although all three of these ligands induce proliferation, only ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-237

    authors: Lee JA,Sinkovits RS,Mock D,Rab EL,Cai J,Yang P,Saunders B,Hsueh RC,Choi S,Subramaniam S,Scheuermann RH,Alliance for Cellular Signaling.

    更新日期:2006-05-02 00:00:00

  • NeatFreq: reference-free data reduction and coverage normalization for De Novo sequence assembly.

    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

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0357-3

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

    更新日期:2014-11-19 00:00:00

  • Statistical significance of quantitative PCR.

    abstract:BACKGROUND:PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection and processing strategies have been described for the implementation of quantitative PCR. However, they can be experimentally cumbersome, the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-131

    authors: Karlen Y,McNair A,Perseguers S,Mazza C,Mermod N

    更新日期:2007-04-20 00:00:00

  • BLAST+: architecture and applications.

    abstract:BACKGROUND:Sequence similarity searching is a very important bioinformatics task. While Basic Local Alignment Search Tool (BLAST) outperforms exact methods through its use of heuristics, the speed of the current BLAST software is suboptimal for very long queries or database sequences. There are also some shortcomings i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-421

    authors: Camacho C,Coulouris G,Avagyan V,Ma N,Papadopoulos J,Bealer K,Madden TL

    更新日期:2009-12-15 00:00:00

  • Predicting peptide presentation by major histocompatibility complex class I: an improved machine learning approach to the immunopeptidome.

    abstract:BACKGROUND:To further our understanding of immunopeptidomics, improved tools are needed to identify peptides presented by major histocompatibility complex class I (MHC-I). Many existing tools are limited by their reliance upon chemical affinity data, which is less biologically relevant than sampling by mass spectrometr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2561-z

    authors: Boehm KM,Bhinder B,Raja VJ,Dephoure N,Elemento O

    更新日期:2019-01-05 00:00:00