The NorWeST webpage hosts stream temperature data and climate scenarios in a variety of user-friendly digital formats for streams and rivers across the western U.S. Temperature data and model outputs, registered to NHDPlus stream lines, are posted to the website after QA/QC procedures and development of the final temperature model within a river basin.
National Stream Internet (NSI) project was developed as a means of providing a consistent, flexible analytical infrastructure that can be applied with many types of stream data anywhere in the country. A key part of that infrastructure is the NSI network, a digital GIS layer which has a specific topological structure that was designed to work effectively with SSNMs. The NSI network was derived from the National Hydrography Dataset Plus, Version 2 (NHDPlusV2) following technical procedures that ensure compatibility with SSNMs.
The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG).
The bull trout (Salvelinus confluentus) eDNA survey results Online Map allows users to view the survey results in an interactive map by coupling 1) predictions from the range-wide, spatially precise Climate Shield model on the location of natal habitats of bull trout with 2) a sampling template for every 8-digit hydrologic unit in the historical range of bull trout, based on the probability of detecting bull trout presence using environmental DNA (eDNA) sampling. The map provides the ability to zoom in and look at an area of interest, as well as to create queries or select an area to download points as a shapefile.
This Official Gene Set is an integration (NCBI Cephus cinctus Annotation Release 101) from NCBI's eukaryotic annotation pipeline v8.0 with manual annotations by the research community (done via the Apollo manual annotation software). QC and Merge of the dataset was performed using the GFF3toolkit software (https://github.com/NAL-i5K/GFF3toolkit).
Data from: Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations
Effect of macronutrients and fiber on postprandial glycemic responses and meal glycemic index and glycemic load value determinations
Background: The potential confounding effect of different amounts and proportions of macronutrients across eating patterns on meal or dietary glycemic index (GI) and glycemic load (GL) value…
To study the impact of wheat streak mosaic virus on global gene expression in wheat curl mite, we generated a de novo transcriptome assembly using 50 x 50 paired end reads from the Illumina HiSeq 2500. Reads were assembled using Trinity (version 2.0.6) and contigs greater than 200 nt were retained. All assembled transcripts were annotated using the Trinotate pipeline using blastp searches against the Swiss-prot/Uni-Prot database, blastx searches against the Swiss-prot/Uni-Prot databases, HMM searches against the Pfam-A database, blastp searches against the non-redundant protein database, and signalP and tmHMM predictions. To reduce noise from low abundance transcripts not well supported by the data, we filtered the assembly to retain only those transcripts with TPM values >=0.5.
Transcriptomes were assembled de novo from pools of adult aphids that were feeding on sorghum and switchgrass. Reads from all replicates were pooled, normalized in silico to 25X coverage, and assembled using Trinity. Only the most abundant isoform for each unigene was retained for annotation and unigenes with transcripts per million mapped reads (TPM) less than 0.5 were removed from the dataset. The remaining unigenes were annotated using Trinotate with BLASTP comparisons against the Swiss-Prot/UniProt database. In addition, Pfam-A assignments were computed using hmmer, signal peptide predictions were performed using SignalP, and transmembrane domain predictions were performed using tmHMM. Gene ontology (GO assignments) were retrieved from Trinotate using the highest scoring BLASTp matches as queries.
The Orussus abietinus genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine. The Orussus abietinus 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 OABI-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.