Project description:The red-legged partridge (Alectoris rufa) has a great socio-economic importance as a game species and is reared by millions in farms in several European countries. The ability to respond to a wide spectrum of pathogens and environmental changes is key for farm-reared animals that, as such, face even higher pathogen exposure and specifically for those submitted to restocking programs. In this study, RNA-sequencing and de-novo assembly of genes expressed in different immune tissues were performed. The raw FASTQ files were submitted to the NCBI SRA database with accession number PRJNA289204. A total of 94.2 million reads were obtained and assembled into 51,403 contigs using OASES software. The final annotated partridge immune transcriptome comprises almost 7000 unigenes, available as FASTA in the supplementary material. A total of 12,828 microsatellites and 33,857 Single Nucleotide Polymorphisms (SNPs) were identified. The candidate gene sequences and the large number of potential genetic markers from the red-legged partridge transcriptome reliably identified through the use for the first time of a high coverage 100-bp paired-end RNA-seq protocol, provide new tools for future studies in this and related species, thus contributing to the ongoing development of genomic resources in avian species. Further investigation into candidate genes and gene-associated markers will help to uncover individual variability in the resistance to infections and other external aggressions in partridges.

| S-EPMC5304236 | biostudies-literature

genome assembly and annotation of the Alectoris rufa

Project description:An almost chromosome-level assembly and annotation of the Alectoris rufa genome

| PRJEB67643 | ENA

Alectoris rufa breed:red-legged partridge

Project description:Alectoris rufa breed:red-legged partridge Genome sequencing

| PRJNA932231 | ENA

Template-based assembly of proteomic short reads for de novo antibody sequencing and repertoire profiling

Project description:We developed a software package STITCH (https://github.com/snijderlab/stitch) to perform template-based assembly of de novo peptide reads from antibody samples. As a test case we generated de novo peptide reads from protein G purified whole IgG from COVID-19 patients.

2022-07-21 | PXD031941 | Pride

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