Tissue Transcriptomics—What’s the Big Deal and Why You Should Do ItTranscriptome-wide studies of gene expression certainly provide invaluable insight into biology on a molecular level, particularly when performed at the single-cell level (i.e. single cell RNA-Seq). Read moreLexogen QuantSeq-UMI pipeline is now available on Partek FlowLexogen has implemented the QuantSeq-UMI data analysis pipeline in Partek Flow software, providing kit users with a simple, streamlined tool for data analysis. Read moreLess is More: Detecting Differential Gene Expression in Single Cell RNA-Seq AnalysisThere are many available tools from which to choose such as DESeq2 and limma, as well as classic statistical tests like ANOVA or Welch’s ANOVA. This post will discuss the frequent question of which to choose. Read moreHow to Perform Single Cell RNA Sequencing (scRNA-Seq): Exploratory AnalysisThis is the first post in our new blog series: How to Perform Single Cell RNA Sequencing. This series will discuss each step of the analysis process. Read moreBatch Remover for Single-Cell DataWe discuss the advantages of simultaneous gene and protein expression measurement. Read moreStudying Immunotherapy with Multimodal Omics: Simultaneous Measurement of Gene and Protein ExpressionWe discuss the advantages of simultaneous gene and protein expression measurement. Read moreIntroducing Partek Flow 8.0Learn about some of the new features and improvements in Partek Flow 8.0. Read more1CellBio and Partek Deliver Easy-to-use Single Cell Analysis SolutionDolomite Bio and Partek Collaborate on Single Cell Analysis Pipeline for Nadia Instrument Read moreHow to Integrate ChIP-Seq and RNA-Seq DataLet’s discuss how to make multi-omics integration analysis and integration seamless by bringing all your analysis tools and data together. Read moreDolomite Bio and Partek Collaborate on Single Cell Analysis Pipeline for Nadia InstrumentResearchers of all backgrounds can now easily analyze data and gain unprecedented insights into the expression patterns of single cells. Read moreEnjoy Responsibly!Using tasting results of 86 different Scotch malts, let’s explore how you can apply statistical tools to non-genomic data. Read moreTo Boldly Go…With the human genome being extensively described and studies of the proteome well under way, is the glycome is the final frontier? Read moreGet to Know Your CellCells are sometimes mysterious and do not readily reveal their true identity. Here’s how to identify their biological nature. Read moreDeployment of Partek® Flow® on Amazon Web Services by Quadrant BiosciencesQuadrant Biosciences discuss analyzing genomics data with Partek Flow on AWS. Read moreLexogen and Partek Deliver QuantSeq Analysis SolutionPipeline enables Lexogen customers to import raw sequencing files directly into Partek Flow to automate analysis and removes the analysis barrier. Read moreHow One Researcher Identified a Novel Cancer Prognostic Marker Using 6,260 Small Non-coding RNA SamplesCustom smRNA-Seq pipeline in Partek Flow to deduce expression of ~32,000 human piRNAs per sample. Read morePartek Celebrates Six Thousandth CitationTo celebrate, Partek reached out to the authors of the paper that brought them to this milestone to discuss their work. Read moreZika Research Advances Through Next Generation SequencingA key tool used in Zika virus research is next-generation sequencing due to its ability to deliver a hypothesis-free full molecular footprint in a time-efficient manner. Let’s see how. Read moreAliens Among Us: How I Analysed Non-Model Organism Data in Partek FlowHow well does Partek Flow software analyze non-model organism data, without having to deal with any command line tools? Read moreResearchers Discover Potential Diagnostic Tool for Alzheimer’s DiseaseResearchers set out to identify the disease-specific exosomal microRNA (miRNA) biomarkers associated with Alzheimer’s disease in serum using deep-sequencing technology. Read morePartek Scientists Answered Over 15,000 Questions on NGS and Microarray Data Analysis From 120 Countries in 2015In 2015 Partek scientists answered over 12,000 questions from researchers around the world and trained an additional 3,000 plus researchers. Read more tbmanelaBlog05.22.2018
