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NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data

With the development of transcriptomic technologies, we are able to quantify precise changes in gene expression profiles from astronauts and other organisms exposed to spaceflight. Members of NASA GeneLab and GeneLab-associated analysis working groups (AWGs) have developed a consensus pipeline for a...

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Autores principales: Overbey, Eliah G., Saravia-Butler, Amanda M., Zhang, Zhe, Rathi, Komal S., Fogle, Homer, da Silveira, Willian A., Barker, Richard J., Bass, Joseph J., Beheshti, Afshin, Berrios, Daniel C., Blaber, Elizabeth A., Cekanaviciute, Egle, Costa, Helio A., Davin, Laurence B., Fisch, Kathleen M., Gebre, Samrawit G., Geniza, Matthew, Gilbert, Rachel, Gilroy, Simon, Hardiman, Gary, Herranz, Raúl, Kidane, Yared H., Kruse, Colin P.S., Lee, Michael D., Liefeld, Ted, Lewis, Norman G., McDonald, J. Tyson, Meller, Robert, Mishra, Tejaswini, Perera, Imara Y., Ray, Shayoni, Reinsch, Sigrid S., Rosenthal, Sara Brin, Strong, Michael, Szewczyk, Nathaniel J., Tahimic, Candice G.T., Taylor, Deanne M., Vandenbrink, Joshua P., Villacampa, Alicia, Weging, Silvio, Wolverton, Chris, Wyatt, Sarah E., Zea, Luis, Costes, Sylvain V., Galazka, Jonathan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044432/
https://www.ncbi.nlm.nih.gov/pubmed/33870146
http://dx.doi.org/10.1016/j.isci.2021.102361
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author Overbey, Eliah G.
Saravia-Butler, Amanda M.
Zhang, Zhe
Rathi, Komal S.
Fogle, Homer
da Silveira, Willian A.
Barker, Richard J.
Bass, Joseph J.
Beheshti, Afshin
Berrios, Daniel C.
Blaber, Elizabeth A.
Cekanaviciute, Egle
Costa, Helio A.
Davin, Laurence B.
Fisch, Kathleen M.
Gebre, Samrawit G.
Geniza, Matthew
Gilbert, Rachel
Gilroy, Simon
Hardiman, Gary
Herranz, Raúl
Kidane, Yared H.
Kruse, Colin P.S.
Lee, Michael D.
Liefeld, Ted
Lewis, Norman G.
McDonald, J. Tyson
Meller, Robert
Mishra, Tejaswini
Perera, Imara Y.
Ray, Shayoni
Reinsch, Sigrid S.
Rosenthal, Sara Brin
Strong, Michael
Szewczyk, Nathaniel J.
Tahimic, Candice G.T.
Taylor, Deanne M.
Vandenbrink, Joshua P.
Villacampa, Alicia
Weging, Silvio
Wolverton, Chris
Wyatt, Sarah E.
Zea, Luis
Costes, Sylvain V.
Galazka, Jonathan M.
author_facet Overbey, Eliah G.
Saravia-Butler, Amanda M.
Zhang, Zhe
Rathi, Komal S.
Fogle, Homer
da Silveira, Willian A.
Barker, Richard J.
Bass, Joseph J.
Beheshti, Afshin
Berrios, Daniel C.
Blaber, Elizabeth A.
Cekanaviciute, Egle
Costa, Helio A.
Davin, Laurence B.
Fisch, Kathleen M.
Gebre, Samrawit G.
Geniza, Matthew
Gilbert, Rachel
Gilroy, Simon
Hardiman, Gary
Herranz, Raúl
Kidane, Yared H.
Kruse, Colin P.S.
Lee, Michael D.
Liefeld, Ted
Lewis, Norman G.
McDonald, J. Tyson
Meller, Robert
Mishra, Tejaswini
Perera, Imara Y.
Ray, Shayoni
Reinsch, Sigrid S.
Rosenthal, Sara Brin
Strong, Michael
Szewczyk, Nathaniel J.
Tahimic, Candice G.T.
Taylor, Deanne M.
Vandenbrink, Joshua P.
Villacampa, Alicia
Weging, Silvio
Wolverton, Chris
Wyatt, Sarah E.
Zea, Luis
Costes, Sylvain V.
Galazka, Jonathan M.
author_sort Overbey, Eliah G.
collection PubMed
description With the development of transcriptomic technologies, we are able to quantify precise changes in gene expression profiles from astronauts and other organisms exposed to spaceflight. Members of NASA GeneLab and GeneLab-associated analysis working groups (AWGs) have developed a consensus pipeline for analyzing short-read RNA-sequencing data from spaceflight-associated experiments. The pipeline includes quality control, read trimming, mapping, and gene quantification steps, culminating in the detection of differentially expressed genes. This data analysis pipeline and the results of its execution using data submitted to GeneLab are now all publicly available through the GeneLab database. We present here the full details and rationale for the construction of this pipeline in order to promote transparency, reproducibility, and reusability of pipeline data; to provide a template for data processing of future spaceflight-relevant datasets; and to encourage cross-analysis of data from other databases with the data available in GeneLab.
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spelling pubmed-80444322021-04-16 NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data Overbey, Eliah G. Saravia-Butler, Amanda M. Zhang, Zhe Rathi, Komal S. Fogle, Homer da Silveira, Willian A. Barker, Richard J. Bass, Joseph J. Beheshti, Afshin Berrios, Daniel C. Blaber, Elizabeth A. Cekanaviciute, Egle Costa, Helio A. Davin, Laurence B. Fisch, Kathleen M. Gebre, Samrawit G. Geniza, Matthew Gilbert, Rachel Gilroy, Simon Hardiman, Gary Herranz, Raúl Kidane, Yared H. Kruse, Colin P.S. Lee, Michael D. Liefeld, Ted Lewis, Norman G. McDonald, J. Tyson Meller, Robert Mishra, Tejaswini Perera, Imara Y. Ray, Shayoni Reinsch, Sigrid S. Rosenthal, Sara Brin Strong, Michael Szewczyk, Nathaniel J. Tahimic, Candice G.T. Taylor, Deanne M. Vandenbrink, Joshua P. Villacampa, Alicia Weging, Silvio Wolverton, Chris Wyatt, Sarah E. Zea, Luis Costes, Sylvain V. Galazka, Jonathan M. iScience Article With the development of transcriptomic technologies, we are able to quantify precise changes in gene expression profiles from astronauts and other organisms exposed to spaceflight. Members of NASA GeneLab and GeneLab-associated analysis working groups (AWGs) have developed a consensus pipeline for analyzing short-read RNA-sequencing data from spaceflight-associated experiments. The pipeline includes quality control, read trimming, mapping, and gene quantification steps, culminating in the detection of differentially expressed genes. This data analysis pipeline and the results of its execution using data submitted to GeneLab are now all publicly available through the GeneLab database. We present here the full details and rationale for the construction of this pipeline in order to promote transparency, reproducibility, and reusability of pipeline data; to provide a template for data processing of future spaceflight-relevant datasets; and to encourage cross-analysis of data from other databases with the data available in GeneLab. Elsevier 2021-03-26 /pmc/articles/PMC8044432/ /pubmed/33870146 http://dx.doi.org/10.1016/j.isci.2021.102361 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Overbey, Eliah G.
Saravia-Butler, Amanda M.
Zhang, Zhe
Rathi, Komal S.
Fogle, Homer
da Silveira, Willian A.
Barker, Richard J.
Bass, Joseph J.
Beheshti, Afshin
Berrios, Daniel C.
Blaber, Elizabeth A.
Cekanaviciute, Egle
Costa, Helio A.
Davin, Laurence B.
Fisch, Kathleen M.
Gebre, Samrawit G.
Geniza, Matthew
Gilbert, Rachel
Gilroy, Simon
Hardiman, Gary
Herranz, Raúl
Kidane, Yared H.
Kruse, Colin P.S.
Lee, Michael D.
Liefeld, Ted
Lewis, Norman G.
McDonald, J. Tyson
Meller, Robert
Mishra, Tejaswini
Perera, Imara Y.
Ray, Shayoni
Reinsch, Sigrid S.
Rosenthal, Sara Brin
Strong, Michael
Szewczyk, Nathaniel J.
Tahimic, Candice G.T.
Taylor, Deanne M.
Vandenbrink, Joshua P.
Villacampa, Alicia
Weging, Silvio
Wolverton, Chris
Wyatt, Sarah E.
Zea, Luis
Costes, Sylvain V.
Galazka, Jonathan M.
NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data
title NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data
title_full NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data
title_fullStr NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data
title_full_unstemmed NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data
title_short NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data
title_sort nasa genelab rna-seq consensus pipeline: standardized processing of short-read rna-seq data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044432/
https://www.ncbi.nlm.nih.gov/pubmed/33870146
http://dx.doi.org/10.1016/j.isci.2021.102361
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