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Results 1 - 20 of 30  for All Library Resources

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1
NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles
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NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles

The Author(s) 2022. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btac502

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2
MungeSumstats: a Bioconductor package for the standardisation and quality control of many GWAS summary statistics
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MungeSumstats: a Bioconductor package for the standardisation and quality control of many GWAS summary statistics

The Author(s) 2021. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btab665

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3
Blinking statistics and molecular counting in direct stochastic reconstruction microscopy (dSTORM)
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Blinking statistics and molecular counting in direct stochastic reconstruction microscopy (dSTORM)

The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. This is a pre-copy-editing, author-produced version of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version, Patel, L., Williamson, D., Owen, D. M. et al., Bioinformatics, 27 February 2021, btab136, is available online at: https://doi.org/10.1093/bioinformatics/btab136 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btab136

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4
HighLight-PTM: An online application to aid matching peptide pairs with isotopically labelled PTMs
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HighLight-PTM: An online application to aid matching peptide pairs with isotopically labelled PTMs

The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btz654

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5
The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets
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The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets

The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btz566

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6
Identification of disease-associated loci using machine learning for genotype and network data integration
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Identification of disease-associated loci using machine learning for genotype and network data integration

The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permitsunrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btz310

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7
DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis
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DeepAMR for predicting co-occurrent resistance of Mycobacterium tuberculosis

The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btz067

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8
pJRES Binning Algorithm (JBA): a new method to facilitate the recovery of metabolic information from pJRES 1H NMR spectra
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pJRES Binning Algorithm (JBA): a new method to facilitate the recovery of metabolic information from pJRES 1H NMR spectra

2018 The Author(s). Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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9
Filtering and inference for stochastic oscillators with distributed delays
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Filtering and inference for stochastic oscillators with distributed delays

The Author(s) 2018. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/bty782

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10
MARDy: mycology antifungal resistance database
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MARDy: mycology antifungal resistance database

The Author(s) 2018. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/ 4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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11
PEITH(Theta): perfecting experiments with information theory in Python with GPU support
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PEITH(Theta): perfecting experiments with information theory in Python with GPU support

2017 The Author. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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12
NucliTrack: an integrated nuclei tracking application
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NucliTrack: an integrated nuclei tracking application

The Author 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/ 4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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13
biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements
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biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements

2017 The Author(s). Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/ 4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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14
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
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PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS

2016 The Author(s). Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. This is a pre-copy-editing, author-produced version of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version Feng Chen, Shuang Wang, Xiaoqian Jiang, Sijie Ding, Yao Lu, Jihoon Kim, S. Cenk Sahinalp, Chisato Shimizu, Jane C. Burns, Victoria J. Wright, Eileen Png, Martin L. Hibberd, David D. Lloyd, Hai Yang, Amalio Telenti, Cinnamon S. Bloss, Dov Fox, Kristin Lauter, Lucila Ohno-Machado; PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 2017; 33 (6): 871-878. doi: 10.1093/bioinformatics/btw758 is available online at: https://dx.doi.org/10.1093/bioinformatics/btw758 ;ISSN: 1367-4803 ;EISSN: 1367-4811

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15
KODAMA: an R package for knowledge discovery and data mining
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KODAMA: an R package for knowledge discovery and data mining

The Author 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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16
metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis
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metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis

The Author 2016. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com ;ISSN: 1367-4803 ;EISSN: 1367-4811

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17
Realtime analysis and visualization of MinION sequencing data with npReader
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Realtime analysis and visualization of MinION sequencing data with npReader

2015 Oxford University Press. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Bioinformatics following peer review. The definitive publisher-authenticated version is available online at: http://dx.doi.org/10.1093/bioinformatics/btv658. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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18
MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues
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MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. ;ISSN: 1367-4803 ;EISSN: 1367-4811

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19
Proper evaluation of alignment-free network comparison methods
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Proper evaluation of alignment-free network comparison methods

The Author 2015. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com ;ISSN: 1367-4803 ;EISSN: 1367-4811

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20
diXa: a data infrastructure for chemical safety assessment
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diXa: a data infrastructure for chemical safety assessment

The Author 2014. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btu827

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