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Athalia rosae Official Gene Set OGSv1.0

    The Athalia rosae genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The Athalia rosae research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.0. The general procedure for generating this OGS is outlined here: https://github.com/NAL-i5K/I5KNAL_OGS/wiki. OGSv1.0 was generated by merging gene set AROS-V0.5.3-Models generated by the Baylor College of Medicine, and community-curated models in the Apollo software, after QC of the Apollo output.

    Leptinotarsa decemlineata Official Gene set v1.2

      The Leptinotarsa decemlineata genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The L. decemlineata research community has manually reviewed and curated the computational gene predictions and generated an official gene set, OGSv1.2. OGSv1.1 is an integration of automatic gene predictions from Maker (performed by Dan Hughes at Baylor College of Medicine) with manual annotations by the research community (done via the Apollo manual annotation software). The coordinates of OGSv1.1 were converted to the latest genome assembly, GCF_000500325.1, using coordinates_conversion and remap-gff3, to generate OGSv1.2.

      Complete Data and Analysis for: Fungicide Effectiveness on Soybean Rust in the Southeastern United States 2004-2014: A Meta-Analysis

        Soybean rust is a concern to soybean growers and management of soybean rust primarily depends on disease scouting and the timely use of fungicides. The goal of this study was to evaluate the efficacy of fungicide-use through a quantitative meta-analysis of data compiled from published and unpublished soybean fungicide trials across the southern United States from 2004 to 2014. The data included in this repository includes the complete dataset as a comma-separated-value file and all Program R code necessary to replicate the data processing, analysis, and graphing.

        Arctic Peregrine Falcon Abundance on Cliffs Along the Colville River, Alaska, 1981-2002 and Covariate Input Files

          This data set consists of fourteen data files. Rcode_arctic_peregrine_abundance.R contains R code that was used to analyze Arctic peregrine falcon data collected between 1981 and 2002. The code primarily uses the R package "UNMARKED" and is based on the Dail-Madsen model for estimating population abundance. To run this code in an R environment, download the file and open it in an R interpreter (such as RStudio). The remaining files are all covariate matrices that act as inputs to the R code.

          ELIGULUM-A regulates lateral branch and leaf development. Original figure files

            TIFF and JPEG files for the photographs used in constructing figures and supplemental figures in the manuscript, "ELIGULUM-A regulates lateral branch and leaf development," submitted to Plant Physiology. The images document a mutation that alters most of the structures of the plant and how the ELIGULUM-A gene interacts with different developmental pathways. The Figure Legend files describe the images individually.

            Genomes To Fields 2016

              Phenotypic, genotypic, and environment data for the 2016 field season: The data is stored in [CyVerse](http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/GenomesToFields_G2F_2016_Data_Mar_2018).

              Genomes To Fields 2015

                Phenotypic, genotypic, and environment data for the 2015 field season: The data is stored in [CyVerse](http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Mar_2017).

                Genomes To Fields 2014

                  Phenotypic, genotypic, and environment data for the 2014 field season: The data is stored in [CyVerse](http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/Carolyn_Lawrence_Dill_G2F_Nov_2016_V.3).