alona is a cloud-based bioinformatics service designed to analyze single cell RNA sequencing (scRNA-seq) data.
advanced visualization, processing and cell type prediction of scRNA-seq using machine learning models to achieve accurate inference of biological cell types.
alona currently works with data from mouse and human. (If data are human then genes will be mapped to mouse orthologs.)
alona is a free service developed and provided by the Integrated Cardio Metabolic Centre at the Karolinska Institutet to the scientific community.
The flowchart to the left illustrates the basic steps in the analysis. The boxes in yellow illustrate steps performed by
alona takes as input a gene expression matrix from a single cell RNA sequencing experiment. Data should have been mapped and reads counted using external software.
The uploaded data can come from any single cell protocol and platform; if the data are from full-length mRNA-seq, then
alona performs RPKM/FPKM calculation on the fly as part of the process.
If there are no errors, the analysis usually completes within 10 to 15 minutes on a dataset consisting of 5000 cells. An e-mail will automatically be sent when the report is available for download.
alona generates a document in PDF format, which contains analysis results and plots. Raw latex source for the document can also be downloaded.
alona only needs a gene expression matrix. A matrix with genes as rows and cells as columns is needed for input into
alona. Single cell gene expression matrices are often large
because thousands of cells are usually sampled. The matrix is either a plain text file, having any arbitrary filename and extension, and it can be
compressed using zip, gzip or bzip2.
alona also understands single cell data in R's RDS object format.
alona prefers the raw read count matrix as input; however, you can also upload gene expression data that have been normalized (in that case
this is specified when uploading the data)
The file name must contain only latin characters.
Can be used for testing.
|GSE112008||Mus musculus||Hematopoietic stem cells||Scaled + log2|
|GSE95315||Mus musculus||Brain||Read counts|
|GSE111136||Mus musculus||Dermal fibroblasts||Read counts|
|GSM2858342||Mus musculus||Alveolar type II cells||Scaled + log2|
alonadeletes your data and analysis results immediately whenever requested.