Changes in the Porcine Intestinal Microbiome in Response to Infection with Salmonella Enterica and Lawsonia Intracellularis

Salmonella enterica is a leading cause of food borne illness. Recent studies have shown that S. enterica is a pathogen capable of causing alterations to the composition of the intestinal microbiome. A recent prospective cross-sectional study of French pork production farms found a statistically significant association between Lawsonia intracellularis and carriage of S. enterica. The ZIP file includes 51 sequence files (FASTA format) and 1 Excel file describing the species, age, sampled tissue, treatment condition, and sample name corresponding to the different file names. The Excel file is converted to a csv for archival purposes. The Readme.txt file describes the context of how the data was created and any codes used in the spreadsheet.

genotype illustration

Effort Versus Reward: Preparing samples for fungal community characterization in high-throughput sequencing surveys of soils

This data set consists of four data files. The FASTA file, Representative OTU sequences.fa, contains representative sequences from the operational taxonomic units (OTUs) shown in the OTU table. FASTA files can be opened in simple text editors, and sequences can be aligned using the BLAST tool (http://blast.ncbi.nlm.nih.gov/Blast.cgi) or open source software, like AliView (http://www.ormbunkar.se/aliview/). There are two Excel data files: OTU table and heatmaps.xlsx and Diversity Indexes.xlsx. The former contains the raw abundance data for the observed OTUs from the different experimental sites. The latter is a breakdown of various diversity indices that are grouped based on experimental characteristics, such as extraction volume, extraction method, etc. Excel_Archive.zip is a compressed version of the two Excel data files that have been converted to more archival-friendly formats using Excel Archival Tool.

effort versus reward chart

Anoplophora glabripennis genome annotations v0.5.3

This dataset presents the Anoplophora glabripennis gene set BCM_v_0.5.3. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Anoplophora glabripennis genome assembly 1.0.

insects 5000 program

Trichogramma pretiosum genome assembly v1.0

The Baylor College of Medicine has sequenced and annotated the Trichogramma pretiosum genome as part of the i5k pilot project. This dataset presents the Trichogramma pretiosum genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource. Scaffold 109 was identified to be a complete Wolbachia genome, and was removed from the assembly on GenBank and relocated to a separate record (https://www.ncbi.nlm.nih.gov/nuccore/NZ_CM003641.1).

insects 5000 program

Trichogramma pretiosum genome annotations v0.5.3

This dataset presents the Trichogramma pretiosum gene set BCM_v_0.5.3. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Trichogramma pretiosum genome assembly 1.0.

insects 5000 program

Orussus abietinus genome annotations v0.5.3

This dataset presents the Orussus abietinus gene set BCM_v_0.5.3. RNA-Seq data was used with additional protein homology data for a MAKER automated annotation of the Orussus abietinus genome assembly 1.0.

insects 5000 program

Data from: Exome genotyping, linkage disequilibrium and population structure in loblolly pine (Pinus taeda L.)

Loblolly pine (Pinus taeda L.) is one of the most widely planted and commercially important forest tree species in the USA and worldwide, and is an object of intense genomic research. However, whole genome resequencing in loblolly pine is hampered by its large size and complexity and a lack of a good reference. As a valid and more feasible alternative, entire exome sequencing was hence employed to identify the gene-associated single nucleotide polymorphisms (SNPs) and to genotype the sampled trees.

Genomics and Genetics