A forward genetic screen is one of the best methods for revealing the function of genes. In plants, this technique is highly efficient, as it is relatively easy to grow and screen hundreds or thousands of individuals. The cost efficiency and ease of data production afforded by next-generation sequencing have created new opportunities for rapid mapping of induced mutations. Current mapping tools are often not user friendly, are complicated, or require extensive preparation steps. To simplify the process of mapping new mutations, we developed a pipeline that takes next-generation sequencing fastq files as input, calls on several well-established and freely available genome-analysis tools, and outputs the most likely causal DNA changes. The pipeline has been validated in Arabidopsis thaliana (Arabidopsis) and can be readily applied to other species, with the possibility of mapping either dominant or recessive mutations.Identifying the genetic mutations and genes that underlie phenotypic changes is essential for understanding a wide variety of biological processes. A forward genetic screen is one of the most powerful tools for searching for such mutations. Spontaneous and induced mutations have been used to identify genes underlying aberrant phenotypes for over 100 years (Morgan, 1910). In the common case, a mutagen is used to generate a few thousand random mutations in the genome by physical (radiation; Muller, 1927), chemical (ethyl methanesulfonate [EMS]; Koornneef et al., 1982), or biological (transposons;McClintock, 1950) agents followed by a screen for the desired phenotype caused by one of the mutations. Once a plant with the desired phenotype is isolated, the researcher must identify the causal mutation. This is done by testing for an association between known genetic markers and phenotype. A significant association indicates that the causal mutation is located in the vicinity of the genetic marker. The introduction of next-generation sequencing (NGS) for mapping purposes has proven to be very promising, as it is possible to quickly identify a small number of potential causal single-nucleotide polymorphisms (SNPs). However, the currently available tools, such as SNPtrack We have developed the SIMPLE tool (Simple Mapping Pipeline), which operates on the input of the NGS fastq files generated from wild-type and mutant bulked DNA pools and produces tables and plots showing the most likely candidate genes and genomic locations. The tool can be easily downloaded and executed with no prior bioinformatics knowledge and requires only a few simple preparatory steps to initiate. Once the program runs, the user accesses a table with the most likely candidate genes and figure files that mark the locations of these candidates. Our pipeline has several advantages in comparison with other mapping tools. First, the entire process is user friendly. It does not require any programming knowledge or NGS analysis skills. Second, it is all inclusive; besides a few initial simple steps such as downloading the fastq files and dete...