PeptideShaker
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER: 
Lennart Martens
PROVIDER: MSV000080689 | MassIVE | Tue Mar 28 18:32:00 BST 2017
SECONDARY ACCESSION(S): PXD000674
REPOSITORIES: MassIVE
Similar Datasets
Project description:PeptideShaker is a user friendly tool for shotgun proteomic data interpretation and reprocessing. The present dataset is the example dataset and consists of a single run HeLa measurement.
2014-01-27 | PXD000674 | Pride
Project description:The technological advances in mass spectrometry allow us to collect more comprehensive data with higher quality and increasing speed. With the rapidly increasing amount of data generated, the need for streamlining analyses becomes more apparent. Proteomic data is known to be often affected by systemic bias from unknown sources, and failing to adequately normalize the data can lead to erroneous conclusions. To allow researchers to easily evaluate and compare different normalization methods via a user-friendly interface, we have developed “proteiNorm”. The current implementation of proteiNorm accommodates preliminary filter on peptide and sample level, followed by an evaluation of several popular normalization methods and visualization of missing value. The user then selects an adequate normalization method and one of several imputation methods used for the subsequent comparison of different differential abundance/expression methods and estimation of statistical power. The application of proteiNorm and interpretation of its results is demonstrated on a Tandem Mass Tag mass spectrometry example data set, where the proteome of three different breast cancer cell lines was profiled with and without hydroxyurea treatment. With proteiNorm, we provide a user-friendly tool to identify an adequate normalization method and to select an appropriate method for a differential abundance/expression analysis.
2021-09-09 | PXD018152 | Pride
Project description:Here, we present ChromSCape, a user-friendly interactive Shiny/R application that processes single-cell epigenomic data to help the biological interpretation of chromatin landscapes within cell populations. ChromSCape successfully analyses the distribution of repressive and active histone modifications as well as chromatin accessibility landscapes from single-cell datasets.
2020-06-16 | GSE152502 | GEO
Project description:Benchmarking MicrobIEM - a user-friendly tool for decontamination of microbiome sequencing data
| PRJEB67797 | ENA
Project description:The development of single cell transcriptomic technologies yields large datasets comprising multimodal informations such as transcriptomes and immunophenotypes. Currently however, there is no software to easily and simultaneously analyze both types of data. Here, we introduce Single-Cell Virtual Cytometer, an open-source software for flow cytometry-like visualization and exploration of multi-omics single cell datasets. Using an original CITE-seq dataset of PBMC from an healthy donor, we illustrate its use for the integrated analysis of transcriptomes and epitopes of functional maturation in peripheral T lymphocytes from healthy donors. So this free and open-source algorithm constitutes a unique resource for biologists seeking for a user-friendly analytic tool for multimodal single cell datasets.
2020-01-30 | GSE144434 | GEO
Project description:We sorted melanocyte nuclei from quiescent (telogen) skin, skin actively producing hair shafts (anagen), and skin exposed to UVB. With these sorted nuclei, we then utilized single-nucleus assay for transposase-accessible chromatin with high-throughput sequencing (snATAC-seq) and characterized three melanocyte lineages: quiescent McSCs (qMcSCs), activated McSCs (aMcSCs), and differentiated melanocytes (dMCs) that co-exist in all three skin conditions. Furthermore, we successfully identified differentially accessible genes and enriched transcription factor binding motifs for each melanocyte lineage. Our findings reveal potential gene regulators that determine these melanocyte cell states and provide new insights into how aMcSC chromatin states are regulated differently under divergent intrinsic and extrinsic cues. We also provide a publicly available online tool with a user-friendly interface to explore this comprehensive dataset, which will provide a resource for further studies on McSC regulation upon natural or UVB-mediated stem cell activation.
2023-07-18 | GSE232908 | GEO
Project description:LotuS: an efficient and user-friendly OTU processing pipeline
| PRJNA259602 | ENA
Project description:The purpose of this study is to produce a user-friendly tool- in the form of a questionnaire - to accurately assess early quality of life in patients after abdominal colorectal surgery from the first day after surgery to 6 months after. The study will also compare this questionnaire to the other currently available assessment tools. Patients are invited to participate if they are undergoing abdominal colorectal surgery at University Hospitals of Cleveland.
| 2039614 | ecrin-mdr-crc
Project description:Background: Measurement of genome-wide DNA methylation (DNAm) has become an important avenue for investigating potentially functional changes in various pathological conditions. Illumina Infinium is a relatively inexpensive and user-friendly DNAm microarray platform used by many researchers to measure DNAm on a large scale. However it has been suggested that a subset of probes may give rise to misleading results due to issues related to probe design. To facilitate biologically significant data interpretation, we set out to enhance probe annotation of the newest HumanMethylation450 BeadChip array (with >485,000 probes covering 99% of RefSeq genes). Results: Annotation that was added or expanded on includes 1) SNPs documented in the probe target, 2) probe binding specificity, 3) CpG classification of target sites and 4) gene feature classification of target sites. Probes with documented SNPs within 10bp of the target site and especially those with documented SNPs at the target CpG, were associated with increased within-tissue variation in DNAm. An example of a probe with a SNP at the target CpG was used to demonstrate how sample genotype can confound the measurement of DNAm. 8.6% of probes were identified as non-specific, in other words, these probes map to multiple locations in silico. DNAm measured from these non-specific probes likely represents a combination of DNAm from multiple genomic sites. The expanded biological annotation demonstrated that based on DNAm, grouping probes by alternative CpG classes rather than UCSC islands provides a more distinctive classification system of CpG sites. Finally variable enrichment for tissue-specific differentially methylated probes was noted across CpG classes and gene feature groups, depending on the tissues that were compared. Conclusion: Probes containing SNPs and non-specific probes may affect the assessment of DNAm using the 450k array. Additionally CpG enrichment classes and to a lesser extent gene feature groups were associated with distinct patterns of DNAm. Thus, we recommend that confounded probes be removed from analyses and that genomic trends be considered in analyses of the Illumina HumanMethylation450 BeadChip. DNAm arrays offer a powerful approach for which thoughtful use of probe content can be utilized to better understand the biological processes affected. Bisulfite converted DNA from 4 buccal, 4 blood and 4 chorionic villus samples was hybridized to the Illumina Infinium HumanMethylation450 BeadChip array.
2013-03-04 | E-GEOD-42409 | biostudies-arrayexpress
Project description:This dataset reports the UPLC-QTof MS untargeted analysis of Vitis vinifera L. leaves, collected from Italy (Trentino) and Germany (Mecklenburg West-Pomerania), from two fungus-resistant grape varieties (PIWI), Regent and Phoenix. For each variety, 40 leaves were sampled from 10 plants (4 leaves/plant) in Italy, and other 40 with the same process in Germany. The leaves from each plant were homogenized and extracted separately, in the same day, under a randomized order. A quality control (QC) sample was prepared by pooling a small aliquot from each sample. </p> The aim of the project, was to use this sample/data set as an illustrative example for the use the pipeline MetaDB (https://github.com/rmylonas/MetaDB). MetaDB has been developed in order to combine, with a user-friendly web based, different bioinformatic tools used in metabolomics, which takes care a) metadata organization, b) creation of randomized sequences including QC sample, c) data quality evaluation, d) data storage organization, e) data analysis and f) submission to public repositories.
2014-11-09 | MTBLS137 | MetaboLights