Abstract Motivation: The repetitive nature of plant disease resistance genes encoding for nucleotide-binding leucine-rich repeat (NLR) proteins hampers their prediction with standard gene annotation software. Motif alignment and search tool (MAST) has previously been reported as a tool to support annotation of NLR-encoding genes. However, the decision if a motif combination represents an NLR protein was entirely manual. Results: The NLR-parser pipeline is designed to use the MAST output from six-frame translated amino acid sequences and filters for predefined biologically curated motif compositions. Input reads can be derived from, for example, raw long-read sequencing data or contigs and scaffolds coming from plant genome projects. The output is a tab-separated file with information on start and frame of the first NLR specific motif, whether the identified sequence is a TNL or CNL, potentially full or fragmented. In addition, the output of the NB-ARC domain sequence can directly be used for phylogenetic analyses. In comparison to other prediction software, the highly complex NB-ARC domain is described in detail using several individual motifs. Availability and implementation: The NLR-parser tool can be downloaded from Git-Hub (github.com/steuernb/NLR-Parser). It requires a valid Java installation as well as MAST as part of the MEME Suite. The tool is run from the command line. Contact: [email protected]; [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.

Abstract Summary: We report AtPRIMER, an application that automates the discovery of new polymorphic markers between ecotypes of Arabidopsis thaliana. On specifying two ecotypes and the genomic region of interest, the script retrieves all corresponding single nucleotide polymorphisms (SNPs) and generates CAPS and/or dCAPS PCR primer sequences. We show that AtPRIMER accurately found specific polymorphic markers for our linkage mapping project. AtPRIMER will therefore be useful for efficient marker development with high density and specificity. Availability: This PERL/CGI program is available for non-commercial users at http://www.AtPRIMER.tsl.ac.uk. The web-based version is available for public use at the same URL. Contact: [email protected]