シングルセルデータ解析はTrailmakerで簡単に
Trailmakerを使ってシングルセルRNAシーケンス（scRNA-seq）の可能性を引き出しましょう。使いやすいプラットフォームでscRNA-seqデータ解析を簡素化し、研究者にとってアクセスしやすく透明性の高いツールを提供します。Evercode Whole Transcriptomeデータを素早く処理・統合・解析し、論文掲載に適した図を作成、簡単に研究成果を共有できます。
サンプルから生物学的インサイトへ
当社のエンド・ツー・エンドのワークフローは、サンプル調製からデータ解析までの全プロセスを通じて、
柔軟なエントリーポイント、ストップポイント、終了ポイントを提供し、サンプルから発見へと導きます。
Flexible Data Entry and Exit Points
Trailmaker provides end-to-end analysis of Evercode WT data with flexibility built in to support count matrices from various single-cell technologies. Advanced analysis is enabled through Seurat object download for code-based methods.
FASTQ File Processing
Trailmaker’s Pipeline module processes Parse Biosciences Evercode™ WT FASTQ files, generating reports and count matrices for viewing or downloading.
Data is automatically sent to the Insights module for downstream processing and visualization.
In-Depth Filtering and QC
You are guided step-by-step through the necessary filtering and integration processes.
Automatically determined default settings deliver ready-to-explore data analysis, with user friendly controls for adjusting filtering thresholds, parameters and methods.
Automatic Cell Type Annotation
Automated cell type prediction is provided using the ScType algorithm that’s built on an extensive database of cell population markers across tissues and species.
Gene Expression
- Search for genes of interest and view expression on a UMAP or t-SNE plot in a single click
- Violin plots make it easy to visualize gene expression across clusters, samples or groups
- View gene sets of interest in dot plots or heatmaps
Custom cell set generation
If Leiden or Louvain clusters don’t quite fit your use case, you can generate custom cell sets using the lasso or gene expression features. It’s also easy to combine clusters or to subset specific clusters into a new analysis.
Differential Expression Analysis
Differential expression analysis calculates the differences in gene expression profiles between clusters or cell populations of interest.
Differential expression results can be filtered, plotted in a Volcano plot, sent for pathway analysis and downloaded.
Fully Customizable Publication-Ready Plots
Pre-loaded plots are available to view, customize and download.
Customization options include:
- Specify genes, cell sets and samples/groups to be plotted
- Adjust plot size, axes labels, ranges, sizes, and font
- Specify the title and legend values and location
- Define the colour scheme
- Export the data (CSV file) and plot (SVG or PNG image file)
Trajectory Analysis
Calculate trajectories using the Monocle3 algorithm and plot pseudotime in a customizable trajectory plot.
Data Sharing
Share individual projects with colleagues or collaborators to work together on data analysis.
Datasets Repository
Grab a dataset from the Trailmaker datasets repository to start exploring Trailmaker’s data analysis and visualization capabilities today!
シングルセルRNA-seqデータ解析の習得
この無料コースは、生物学者のために特別に設計されており、プログラミングの経験がなくても誰でもアクセスでき
ます。自分のペースで進められる構成、包括的なサポート、Trailmakerによるガイド付き学習により、
効率的でシームレスな体験を実現します。
41 Lessons
9 Hours of Video Content
Downloadable PDF Material
Trailmaker Webinars On-Demand
View our Trailmaker launch webinar and data analysis educational webinars on-demand. Our speakers will take you on a guided walk through of single cell RNA-seq data analysis from FASTQ files to publication-ready figures
Data Analysis: Resources and support
Download Trailmaker Product Sheet
Learn more about Parse Biosciences’ cloud analysis tools.
Looking for the original Parse Pipeline?
Parse Biosciences provides a pipeline that can be run on a Linux operating system,
either locally or on a server. The pipeline remains available for
customers to download via our support suite.