CASE STUDY

Accelerate Cell-Type Annotation of scRNA-seq Data

Key Highlights

Cell type identification, a vital step for scRNA-seq experiments, can be tedious and erroneous.
Retrieval of raw data from public repositories and literature search for cell-type markers are both cumbersome.
Manual annotation of cell types is slow and it offers limited reproducibility.
A reproducible bioinformatics pipeline to identify cell types was built using Polly and validated.

Thank you for showing interest!

To know more about us, book a demo here.

Oops! Something went wrong while submitting the form.

All Case Studies

Case study: Accelerated Target ID using ML-Ready data on Polly

Data Interoperability as a Service: 6X Faster Clinico-Genomic Data Integration & Analysis with Polly

Case study: Accelerated Target ID using ML-Ready data on Polly

Elucidata Cuts 95% Manual Scientist Effort in Protein Production Workflows

Case study: Accelerated Target ID using ML-Ready data on Polly

Predicting Spatially Resolved Gene Expression from Histopathology Images

Case study: Accelerated Target ID using ML-Ready data on Polly

500 Hours Of Data Wrangling Saved While Ensuring Superior Data Quality

Case study: Accelerated Target ID using ML-Ready data on Polly

80% Faster Data Management & 50% Fewer Data Queries for Academic Core Facilities

Case study: Accelerated Target ID using ML-Ready data on Polly

Six Months to Success: Accelerating AML Target-indication Assessment With Advanced Knowledge Graphs