Project description:Despite the widespread adoption of ChIP-seq there is still no consensus on quality assessment metrics. No single published metric can reliably discriminate the success or failure of an experiment, thus hampering objectivity and reproducibility of quality control. We introduce a new framework for ChIP-seq data quality assessment that overcomes the limitation of previous solutions. Our tool called "ChIC" incorporates a novel set of quality control metrics integrated into one single score summarizing the sample quality and a reference compendium with thousands of published ChIP-seq samples, for easier evaluation of new data. This test dataset contain an example of succesfull and non-succesfull ChIP-seq sample for mouse H3K27me3.
Project description:We developed a Transcriptomic Analysis Pipeline (TAP) as a flexible workflow for comprehensive transcriptome analysis from any species with a reference genome. We tested TAP in a case study to compare polyA+ and rRNA-depletion RNA-seq library protocols using Drosophila melanogaster following different thermal stress temperatures. TAP provides a flexible and complete pipeline to enable researchers to extract more biologically relevant interpretations by integrated and interactive transcriptome analysis.
Project description:Hela test samples prepared by FASP digestion were run on QE and QE-HF mass spectrometry as quality controls. We tried to compare the protein and peptide identification results between the two machines.
Project description:Transposable elements (TEs) are ubiquitous in genomes. Many of these TEs remain active and are an important fraction of the transcriptomes with potential effects on the host genomes. The functional impact of TEs is well known for model organisms, however, in transcriptomes analysis of non-model organisms, this information is ignored due to the difficulty in identifying and quantifying TEs. Here we develop ExplorATE, a pipeline that allows the identification and quantification of active TEs in non-model organisms that can be easily implemented within the R environment. Based on simulated data, we show that our pipeline accurately identifies and quantifies TEs, over-performing the commonly used tools in model organisms. We show the implementation of ExplorATE using real data for RNA-seq samples from different tissues (liver, ovary, and brain) of Liolaemus parthenos, the only parthenogenetic lizard known to date in the entire clade Iguanidae (pleurodonta). Our results show that a significant fraction of the transcriptome contains repeats, however many of these are co-expressed with genes. The implementation of our pipeline in real data allowed the identification of the most abundant transposon families in each tissue. The ERV2, CR1, and SINE3 families were particularly abundant in the liver. A test data set is provided in the ExplorATE package.
Project description:Chitinases are ubiquitous enzymes involved in biomass degradation and chitin turnover in nature. Pseudomonas aeruginosa (PA), an opportunistic human pathogen, expresses ChiC, a secreted glycoside hydrolase 18 (GH18) family chitinase. Despite speculation about ChiC's role in PA disease pathogenesis, there is scant evidence supporting this hypothesis. Since PA cannot catabolize chitin, we investigated the potential function(s) of ChiC in PA pathophysiology
Project description:Chitinases are ubiquitous enzymes involved in biomass degradation and chitin turnover in nature. Pseudomonas aeruginosa (PA), an opportunistic human pathogen, expresses ChiC, a secreted glycoside hydrolase 18 (GH18) family chitinase. Despite speculation about ChiC's role in PA disease pathogenesis, there is scant evidence supporting this hypothesis. Since PA cannot catabolize chitin, we investigated the potential function(s) of ChiC in PA pathophysiology