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Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data

The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analytics tools to improve our understanding of human dis...

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Autores principales: Koleti, Amar, Terryn, Raymond, Stathias, Vasileios, Chung, Caty, Cooper, Daniel J, Turner, John P, Vidović, Dušica, Forlin, Michele, Kelley, Tanya T, D’Urso, Alessandro, Allen, Bryce K, Torre, Denis, Jagodnik, Kathleen M, Wang, Lily, Jenkins, Sherry L, Mader, Christopher, Niu, Wen, Fazel, Mehdi, Mahi, Naim, Pilarczyk, Marcin, Clark, Nicholas, Shamsaei, Behrouz, Meller, Jarek, Vasiliauskas, Juozas, Reichard, John, Medvedovic, Mario, Ma’ayan, Avi, Pillai, Ajay, Schürer, Stephan C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753343/
https://www.ncbi.nlm.nih.gov/pubmed/29140462
http://dx.doi.org/10.1093/nar/gkx1063
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author Koleti, Amar
Terryn, Raymond
Stathias, Vasileios
Chung, Caty
Cooper, Daniel J
Turner, John P
Vidović, Dušica
Forlin, Michele
Kelley, Tanya T
D’Urso, Alessandro
Allen, Bryce K
Torre, Denis
Jagodnik, Kathleen M
Wang, Lily
Jenkins, Sherry L
Mader, Christopher
Niu, Wen
Fazel, Mehdi
Mahi, Naim
Pilarczyk, Marcin
Clark, Nicholas
Shamsaei, Behrouz
Meller, Jarek
Vasiliauskas, Juozas
Reichard, John
Medvedovic, Mario
Ma’ayan, Avi
Pillai, Ajay
Schürer, Stephan C
author_facet Koleti, Amar
Terryn, Raymond
Stathias, Vasileios
Chung, Caty
Cooper, Daniel J
Turner, John P
Vidović, Dušica
Forlin, Michele
Kelley, Tanya T
D’Urso, Alessandro
Allen, Bryce K
Torre, Denis
Jagodnik, Kathleen M
Wang, Lily
Jenkins, Sherry L
Mader, Christopher
Niu, Wen
Fazel, Mehdi
Mahi, Naim
Pilarczyk, Marcin
Clark, Nicholas
Shamsaei, Behrouz
Meller, Jarek
Vasiliauskas, Juozas
Reichard, John
Medvedovic, Mario
Ma’ayan, Avi
Pillai, Ajay
Schürer, Stephan C
author_sort Koleti, Amar
collection PubMed
description The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analytics tools to improve our understanding of human diseases at the systems level. In contrast to other large-scale data generation efforts, LINCS Data and Signature Generation Centers (DSGCs) employ a wide range of assay technologies cataloging diverse cellular responses. Integration of, and unified access to LINCS data has therefore been particularly challenging. The Big Data to Knowledge (BD2K) LINCS Data Coordination and Integration Center (DCIC) has developed data standards specifications, data processing pipelines, and a suite of end-user software tools to integrate and annotate LINCS-generated data, to make LINCS signatures searchable and usable for different types of users. Here, we describe the LINCS Data Portal (LDP) (http://lincsportal.ccs.miami.edu/), a unified web interface to access datasets generated by the LINCS DSGCs, and its underlying database, LINCS Data Registry (LDR). LINCS data served on the LDP contains extensive metadata and curated annotations. We highlight the features of the LDP user interface that is designed to enable search, browsing, exploration, download and analysis of LINCS data and related curated content.
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spelling pubmed-57533432018-01-05 Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data Koleti, Amar Terryn, Raymond Stathias, Vasileios Chung, Caty Cooper, Daniel J Turner, John P Vidović, Dušica Forlin, Michele Kelley, Tanya T D’Urso, Alessandro Allen, Bryce K Torre, Denis Jagodnik, Kathleen M Wang, Lily Jenkins, Sherry L Mader, Christopher Niu, Wen Fazel, Mehdi Mahi, Naim Pilarczyk, Marcin Clark, Nicholas Shamsaei, Behrouz Meller, Jarek Vasiliauskas, Juozas Reichard, John Medvedovic, Mario Ma’ayan, Avi Pillai, Ajay Schürer, Stephan C Nucleic Acids Res Database Issue The Library of Integrated Network-based Cellular Signatures (LINCS) program is a national consortium funded by the NIH to generate a diverse and extensive reference library of cell-based perturbation-response signatures, along with novel data analytics tools to improve our understanding of human diseases at the systems level. In contrast to other large-scale data generation efforts, LINCS Data and Signature Generation Centers (DSGCs) employ a wide range of assay technologies cataloging diverse cellular responses. Integration of, and unified access to LINCS data has therefore been particularly challenging. The Big Data to Knowledge (BD2K) LINCS Data Coordination and Integration Center (DCIC) has developed data standards specifications, data processing pipelines, and a suite of end-user software tools to integrate and annotate LINCS-generated data, to make LINCS signatures searchable and usable for different types of users. Here, we describe the LINCS Data Portal (LDP) (http://lincsportal.ccs.miami.edu/), a unified web interface to access datasets generated by the LINCS DSGCs, and its underlying database, LINCS Data Registry (LDR). LINCS data served on the LDP contains extensive metadata and curated annotations. We highlight the features of the LDP user interface that is designed to enable search, browsing, exploration, download and analysis of LINCS data and related curated content. Oxford University Press 2018-01-04 2017-11-13 /pmc/articles/PMC5753343/ /pubmed/29140462 http://dx.doi.org/10.1093/nar/gkx1063 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution 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
spellingShingle Database Issue
Koleti, Amar
Terryn, Raymond
Stathias, Vasileios
Chung, Caty
Cooper, Daniel J
Turner, John P
Vidović, Dušica
Forlin, Michele
Kelley, Tanya T
D’Urso, Alessandro
Allen, Bryce K
Torre, Denis
Jagodnik, Kathleen M
Wang, Lily
Jenkins, Sherry L
Mader, Christopher
Niu, Wen
Fazel, Mehdi
Mahi, Naim
Pilarczyk, Marcin
Clark, Nicholas
Shamsaei, Behrouz
Meller, Jarek
Vasiliauskas, Juozas
Reichard, John
Medvedovic, Mario
Ma’ayan, Avi
Pillai, Ajay
Schürer, Stephan C
Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data
title Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data
title_full Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data
title_fullStr Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data
title_full_unstemmed Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data
title_short Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data
title_sort data portal for the library of integrated network-based cellular signatures (lincs) program: integrated access to diverse large-scale cellular perturbation response data
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753343/
https://www.ncbi.nlm.nih.gov/pubmed/29140462
http://dx.doi.org/10.1093/nar/gkx1063
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