A dynamic web resource for robust and reproducible genomics in nonmodel species: marineomics.io

Bogan, Samuel N.; Johns, Jason; Griffiths, Joanna S.; Davenport, Danielle; Smith, Sara J.; Schaal, Sara M.; Downey‐Wall, Alan; Lou, Runyang Nicolas; Lotterhos, Katie; Guidry, Megan E.; Rivera, Hanny E.; McGirr, Joseph A.; Puritz, Jonathan B.; Roberts, Steven B.; Silliman, Katherine

doi:10.1111/2041-210X.14219

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

A dynamic web resource for robust and reproducible genomics in nonmodel species: marineomics.io

2023
By Bogan, Samuel N. ; Johns, Jason ; Griffiths, Joanna S. ; ...
Source: Methods in Ecology and Evolution, 14(11), 2709-2716

[PDF-986.29 KB]

Details You May Also Like

Details:

Journal Title:

Methods in Ecology and Evolution
Personal Author:

Bogan, Samuel N. ; Johns, Jason ; Griffiths, Joanna S. ; Davenport, Danielle ; Smith, Sara J. ; ... More +

Bogan, Samuel N. ; Johns, Jason ; Griffiths, Joanna S. ; Davenport, Danielle ; Smith, Sara J. ; Schaal, Sara M. ; Downey‐Wall, Alan ; Lou, Runyang Nicolas ; Lotterhos, Katie ; Guidry, Megan E. ; Rivera, Hanny E. ; McGirr, Joseph A. ; Puritz, Jonathan B. ; Roberts, Steven B. ; Silliman, Katherine Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; OAR (Oceanic and Atmospheric Research) ; AFSC (Alaska Fisheries Science Center) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; NGI (Northern Gulf Institute)

NMFS (National Marine Fisheries Service) ; OAR (Oceanic and Atmospheric Research) ; AFSC (Alaska Fisheries Science Center) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) ; NGI (Northern Gulf Institute) Less -
Description:

Genomic methods are becoming increasingly valuable and established in ecological research, particularly in nonmodel species. Supporting their progress and adoption requires investment in resources that promote (i) reproducibility of genomic analyses, (ii) accessibility of learning tools and (iii) keeping pace with rapidly developing methods and principles. We introduce marineomics.io, an open‐source, living document to disseminate tutorials, reproducibility tools and best principles for ecological genomic research in marine and nonmodel systems. The website's existing content spans population and functional genomics, including current recommendations for whole‐genome sequencing, RAD‐seq, Pool‐seq and RNA‐seq. With the goal to facilitate the development of new, similar resources, we describe our process for aggregating and synthesizing methodological principles from the ecological genomics community to inform website content. We also detail steps for authorship and submission of new website content, as well as protocols for providing feedback and topic requests from the community. These web resources were constructed with guidance for doing rigorous, reproducible science. Collaboration and contributions to the website are encouraged from scientists of all skill sets and levels of expertise.
Keywords:

[+]

Ecological Modeling Ecology, Evolution, Behavior And Systematics
Source:

Methods in Ecology and Evolution, 14(11), 2709-2716
DOI:

https://doi.org/10.1111/2041-210X.14219
ISSN:

2041-210X;2041-210X;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:c70df9cd2ac9432863d2b318ee15e4c5d6225a6ddf02a471354ca5e372712e19
Download URL:

https://repository.library.noaa.gov/view/noaa/56052/noaa_56052_DS1.pdf
File Type:

No Additional Files

More +

A dynamic web resource for robust and reproducible genomics in nonmodel species: marineomics.io

Details:

Supporting Files

You May Also Like