Search results for "SASE"
showing 5 items of 25 documents
Juniorivalmentajien kasvatusasenteet Suomen Palloliiton Kaakkois-Suomen piirissä
1998
Development of an Efficient In Vivo System (P-junc-TpaseIS(1223)) for Random Transposon Mutagenesis of Lactobacillus casei
2012
ABSTRACT The random transposon mutagenesis system P junc -TpaseIS 1223 is composed of plasmids pVI129, expressing IS 1223 transposase, and pVI110, a suicide transposon plasmid carrying the P junc sequence, the substrate of the IS 1223 transposase. This system is particularly efficient in Lactobacillus casei , as more than 10,000 stable, random mutants were routinely obtained via electroporation.
Impact of Insertion Sequences and RNAs on Genomic Inversions in Pseudomonas aeruginosa
2022
Abstract In this article, a bioinformatics pipeline is proposed that focuses on two types of elements, namely the mobile genetic elements (MGE) and Ribonucleic acids (RNAs). The MGEs are called insertion sequences (ISs) in the prokaryotic domain. The objective of this research work is to study the behaviour of RNAs and MGEs genes, and the effects of their presence around inversions in genome sequences. The proposed pipeline finds the relation between the transposase gene types (e.g., DDE and DEDD) located within insertion sequences according to their IS family and sub-family, and RNAs (tRNA and rRNA) on the one hand, and genomic inversion on the other hand. More precisely, we wonder whether…
Assessment of computational methods for the analysis of single-cell ATAC-seq data
2019
Abstract Background Recent innovations in single-cell Assay for Transposase Accessible Chromatin using sequencing (scATAC-seq) enable profiling of the epigenetic landscape of thousands of individual cells. scATAC-seq data analysis presents unique methodological challenges. scATAC-seq experiments sample DNA, which, due to low copy numbers (diploid in humans), lead to inherent data sparsity (1–10% of peaks detected per cell) compared to transcriptomic (scRNA-seq) data (10–45% of expressed genes detected per cell). Such challenges in data generation emphasize the need for informative features to assess cell heterogeneity at the chromatin level. Results We present a benchmarking framework that …