ExpressionPlot Example Data
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Project description:Data analysis is a critical part of quantitative proteomics studies in interpreting biological questions. Numerous computational tools including protein quantification, imputation, and differential expression (DE) analysis were generated in the past decade. However, searching optimized tools is still an unsolved issue. Moreover, due to the rapid development of RNA-Seq technology, a vast number of DE analysis methods are created. Applying these newly developed RNA-Seq-oriented tools to proteomics data is still a question that needs to be addressed. In order to benchmark these analysis methods, a proteomics dataset constituted the proteins derived from human, yeast, and drosophila with different ratios were generated. Based on this dataset, DE analysis tools (including array-based and RNA-Seq based), imputation algorithms, and protein quantification methods were compared and benchmarked. This study provided useful information on analyzing quantitative proteomics datasets. All the methods used in this study were integrated into Perseus which are available at https://www.maxquant.org/perseus.
2022-11-16 | PXD029891 | JPOST Repository
Project description:Digenome-seq example data from HAP1 cell line
| PRJEB20021 | ENA
Project description:The data sets of human IgG and human fibrinogen are used as test data for the publication of glyXtoolMS (https://github.com/glyXera/glyXtoolMS). GlyXtoolMS is an open-source analysis software for the (semi)automated targeted analysis of glycopeptide mass spectrometry data using OpenMS/TOPPAS as a framework and pipeline engine. The proteins were selected to show the successful analysis of both N-glycopeptide and O-glycopeptide samples. The samples were measured by nano reversed phase liquid chromatography coupled online to an electrospray ionization orbitrap mass spectrometer (nano RP-LC ESI- OT-MS/MS; LTQ Orbitrap Elite, Thermo Scientific, Waltham, MA, USA) with HCD fragmentation.
2018-09-24 | PXD009716 | Pride
Project description:We performed RNA-seq and Ribo-seq analyses to elucidate the translation in seeds at 85 and 115 DAF. We also completed a data-independent acquisition (DIA)-based proteomic analysis, while also examining relevant lipid metabolites.
2023-03-01 | PXD040512 | iProX
Project description:This pilot metabolomic study will evaluate cecal specimens from an established mouse model of AD, the tq2576 mouse model of cerebral amyloid overexpression, in comparison to their non-transgenic (ntg) littermates. These animals were either on a CR or ad libitum (AL) diet, and specimens were collected at two time points (5 and 15 months of age). Tissue from this cohorts of mice have already undergone microbiome analysis, and await coordinated brain and peripheral tissue assessments. Future analysis will include metabolomics, RNA-seq, and microarray data to assess the gut-brain microbiome system in neurodegenerative disorders.
2016-09-07 | ST000463 | MetabolomicsWorkbench
Project description:This pilot metabolomic study will evaluate brain specimens from an established mouse model of AD, the tq2576 mouse model of cerebral amyloid overexpression (APP), in comparison to their non-transgenic (NTG) littermates. These animals were either on a CR or ad libitum (AL) diet, and specimens were collected at two time points (5 and 15 months of age). Tissue from this cohorts of mice have already undergone microbiome analysis, and await coordinated brain and peripheral tissue assessments. Future analysis will include metabolomics, RNA-seq, and microarray data to assess the gut-brain microbiome system in neurodegenerative disorders.
2016-09-07 | ST000462 | MetabolomicsWorkbench
Project description:The increasing application of RNA-seq to study non-model species demands easy-to-use and efficient bioinformatics tools to help researchers quickly uncover biological and functional insights. We developed ExpressAnalyst (www.expressanalyst.ca), a web-based tool for processing, analyzing, and interpreting RNA-seq data from any eukaryotic species. ExpressAnalyst contains a series of modules that enable raw data processing and annotation of FASTQ files, and statistical and functional analysis of counts tables and gene lists. All modules are integrated with EcoOmicsDB, an ortholog database that enables comprehensive analysis for species without a reference transcriptome. By coupling ultra-fast read mapping algorithms with high-resolution ortholog databases through a user-friendly web interface, ExpressAnalyst enables researchers to obtain global expression profiles and gene-level insights from raw RNA-seq reads within 24 hours. Here, we present ExpressAnalyst and demonstrate its utility with a case study of RNA-seq data from multiple non-model salamander species, including two that do not have a reference transcriptome.
2023-04-27 | GSE225876 | GEO
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
| 2612481 | ecrin-mdr-crc