Abacat (pronounced "ABBA-cat") is a toolkit for working with bacterial whole genome sequencing (WGS) data. It provides Python objects to represent elements which are common to WGS analysis workflows, such as coding sequence (CDS) files, containing genes or proteins, alignment methods, or statistics about your sequences.
For more information, go on the official GitHub page.
Contributors:Stefan Verhoeven, Michelle Schorn, Marnix H. Medema, Pieter C. Dorrestein, Justin J.J. van der Hooft
The Paired Omics Data Platform is a community-based initiative standardizing links between genomic and metabolomics data in a computer readable format to further the field of natural products discovery. The goals are to link molecules to their producers, find large scale genome-metabolome associations, use genomic data to assist in structural elucidation of molecules, and provide a centralized database for paired datasets. This dataset contains the projects in http://pairedomicsdata.bioinformatics.nl/.
The JSON documents adhere to the http://pairedomicsdata.bioinformatics.nl/schema.json JSON schema.
Contributors:Max Dolton Jones, Matt Crane, Inês Silva, Colin Thomas Strine, Taksin Artchawakom, Pongthep Suwanwaree, Matt Goode
King cobra predation events on Varanus nebulosus. Included: photographic evidence of each event, king cobra biometric data from most recent measurements and location information.
.csv file column headings:
folderid: The Zenodo folder ID containing the photographic evidence of event.
obvdate: Date of observation (yyyy-mm-dd)
obvtime: Time of observation (24hr)
snakeid: Unique ID given to individual king cobras captured
svlmm: King cobra snout-to-vent length (mm)
tlmm: King cobra tail length (mm)
totalmm: King cobra total length (mm)
massg: King cobra mass (g)
easting: UTM easting (UTM Zone 47N; Datum WGS84)
northing: UTM northing (UTM Zone 47N; Datum WGS84)
gpsaccm: Accuracy of GPS location (m)
notes: Comments on predation event
Contributors:David Stansby, Yatharth Rai, Matthew Argall, JeffreyBroll, Nathaniel Erwin, Siddhant Shaw, Aditya, Ritwik Saha, Sashank Mishra, The Gitter Badger, P. L. Lim, Jack Ireland
This is the published dataset including analysis code for:
Eckert RJ, Reaume A, Sturm AB, Studivan MS, and Voss JD (2020) Depth influences Symbiodiniaceae associations among Montastraea cavernosa corals on the Belize Barrier Reef. Frontiers in Microbiology. 11:518. doi: 10.3389/fmicb.2020.00518.
Here, we describe the Symbiodiniaceae taxa found within previously-sampled and genotyped Montastraea cavernosa populations along a depth gradient on the Belize Barrier Reef by implementing high-throughput sequencing of the ITS2 region of Symbiodiniaceae ribosomal DNA and the SymPortal analysis framework.
Contributors:Philippe Roy, Dominique Caron, Trevor James Smith, Éloïse Nolet-Gravel, Tony Kelman, Gael Forget, Julia TagBot, Fidel Thomet, Elliot Saba