Desktop App — Your data never leaves your machine

Haritica

Bioinformatics Without Code

See it in action
Single Cell Analysis
Single-cell UMAP with colored clusters

Single-Cell UMAP with Cluster Annotation

Every Analysis. One Interface.

From raw sequencing reads to publication-ready figures.

FASTQ to BAM
Differential Expression
WGCNA
Statistical Analysis
GO/KEGG Enrichment
GSEA
Morphometrics
Single Cell
Variant Annotation
MMAPPR

Step 1

Drop your FASTQ files.

Select your raw sequencing files from any format — FASTQ, BAM, or CSV count matrices.

Step 2

We handle alignment.

Bundled HISAT2 aligns your reads automatically. Watch progress in real time — no terminal needed.

Step 3

Publication-grade in minutes.

Interactive volcano plots, heatmaps, and tables ready for your next paper. Customize every detail.

Haritica
Haritica home page
Haritica — Processing
Pipeline progress view
Haritica — Results
Volcano plot results

The old way

Terminal
$ conda install -c bioconda hisat2 samtools
$ wget ftp://genome.ucsc.edu/goldenPath/hg38/bigZips/hg38.fa.gz
$ hisat2-build hg38.fa hg38_index
$ wget ftp://ftp.ensembl.org/pub/release-110/gtf/homo_sapiens/...
$ hisat2 -x hg38_index -1 R1.fq.gz -2 R2.fq.gz -S out.sam
$ samtools sort -o out.bam out.sam && samtools index out.bam
$ featureCounts -a genes.gtf -o counts.txt out.bam

At least 7 commands. At least 3 tools. At least 1 hour just to prepare files.

With Haritica

Drop FASTQ files here

or click to browse

sample_R1.fastq.gz
sample_R2.fastq.gz

Drag. Drop. Done.

Bundled HISAT2 Indexes & GTF Files

No conda. No module load. No PATH. Everything ships with the app.

It knows which test to run.

Select your question. Haritica recommends the right statistical method.

Your Data
↔ Compare groups?
2 groups T-Test
3+ groups ANOVA
⇄ Relationships?
Pairwise Correlation
Predict Regression
⬡ Reduce dimensions?
Linear PCA
Non-linear Clustering

Your Data Stays Yours

Runs entirely on your machine. No cloud. No uploads. No accounts.

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