In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

Input: Consider Input: Meiotic crossovers detected by pedigree analysis in the mouse MHC cluster into hotspots. To explore the properties of hotspots, we subjected the class II E(beta) gene to high-resolution sperm crossover analysis. We confirm the presence of a highly localized hotspot 1.0-1.6 kb wide in the second intron of E(beta) and show that it is flanked by DNA which is almost completely recombinationally inert. Mice heterozygous for haplotype s and another MHC haplotype show major haplotype-dependant variation in crossover rate but always the same hotspot, even in crosses including the highly diverged p haplotype. Crossovers in reciprocal orientations occur at similar rates but show different distributions across the hotspot, with the position of centre points in the two orientations shifted on average by 400 bp. This asymmetry results in crossover products showing biased gene conversion in favour of hotspot markers from the non-initiating haplotype, and supports the double-strand break repair model of recombination, with haplotype s as the most efficient crossover initiator. The detailed behaviour of the E(beta) hotspot, including evidence for highly localized recombination initiation, is strikingly similar to human hotspots.

Output: High-resolution sperm typing of meiotic recombination in the mouse MHC Ebeta gene.

Input: Consider Input: Expression quantitative trait loci (eQTL) mapping aims to determine genomic regions that regulate gene transcription. Expression QTL is used to study the regulatory structure of normal tissues and to search for genetic factors in complex diseases such as cancer, diabetes, and cystic fibrosis. A modern eQTL dataset contains millions of SNPs and thousands of transcripts measured for hundreds of samples. This makes the analysis computationally complex as it involves independent testing for association for every transcript-SNP pair. The heavy computational burden makes eQTL analysis less popular, often forces analysts to restrict their attention to just a subset of transcripts and SNPs. As larger genotype and gene expression datasets become available, the demand for fast tools for eQTL analysis increases. We present a new method for fast eQTL analysis via linear models, called Matrix eQTL. Matrix eQTL can model and test for association using both linear regression and ANOVA models. The models can include covariates to account for such factors as population structure, gender, and clinical variables. It also supports testing of heteroscedastic models and models with correlated errors. In our experiment on large datasets Matrix eQTL was thousands of times faster than the existing popular software for QTL/eQTL analysis. Matrix eQTL is implemented as both Matlab and R packages and thus can easily be run on Windows, Mac OS, and Linux systems. The software is freely available at the following address: http://www.bios.unc.edu/research/genomic_software/Matrix_eQTL

Output: Matrix eQTL: Ultra fast eQTL analysis via large matrix operations

Input: Consider Input: OBJECTIVE Dystrophins, utrophins, and their associated proteins are involved in structural and signaling roles in nonmuscle tissues; however, description of these proteins in neutrophils remained unexplored. Therefore we characterize the pattern expression, and the cellular distribution of dystrophin and utrophin gene products and dystrophin-associated proteins (i.e., beta-dystroglycan, alpha-syntrophin, and alpha-dystrobrevins) in relation to actin filaments in resting and activated with formyl-methionyl-leucyl-phenylalanine human neutrophils. MATERIALS AND METHODS Resting and fMLP-activated human neutrophils were analyzed by immunoblot and by confocal microscopy analysis. Immunoprecipitation assays were performed to corroborate the presence of protein complexes.
RESULTS Immunoprecipitation assays and confocal analysis demonstrated the presence of two dystrophin-associated protein complexes in resting and activated neutrophils: the former formed by Dp71d/Dp71Delta(110)(m) and dystrophin-associated proteins (beta-dystroglycan, alpha-syntrophin, alpha-dystrobrevin-1, and -2), while the latter contains Up400, instead of Dp71d/Dp71Delta(110)(m), as a central component of the dystrophin-associated protein complexes (DAPC). Confocal analysis also showed the subcellular redistribution of Dp71d/Dp71Delta(110)(m) approximately DAPC and Up400 approximately DAPC in F-actin-based structures displayed during activation process with fMLP.
CONCLUSIONS Our study showed the existence of two protein complexes formed by Dp71d/Dp71Delta(110)(m) or Up400 associated with DAPs in resting and fMLP-treated human polymorphonuclears. The interaction of these complexes with the actin cytoskeleton is indicative of their dynamic participation in the chemotaxis process.
Output: Distribution of dystrophin- and utrophin-associated protein complexes during activation of human neutrophils.