Bioinformatics
without the code.

Haritica replaces R and the command line with a point-and-click desktop app — from raw FASTQ to publication-ready figures. And every analysis is validated against the field's reference tools.

macOS · Windows · Linux  ·  14-day free trial, no credit card

Haritica — Single-Cell Analysis
Single-cell UMAP with colored cluster annotation, rendered in Haritica

Single-cell UMAP with cluster annotation · rendered in-app

Positive controls

We don't ask you to trust us.
We show the receipts.

Every Haritica analysis reproduces the result of an independent, peer-reviewed reference on identical public data.

Read the validation library
r = 1.000
log₂FC concordance
vs R/Bioconductor DESeq2
Jaccard 1.000
pathway enrichment
vs clusterProfiler
bit-identical
variant statistics
vs NIST GIAB · bcftools
ρ = 0.92
single-cell quantification
vs 10x CellRanger
r = 0.966
WGCNA eigengene
vs R WGCNA
§ Analyses

Every analysis. One interface.

From raw sequencing reads to publication-ready figures — without leaving the app, and without writing a line of R.

FASTQ → BAMAlignment
Differential ExpressionRNA-seq
WGCNACo-expression
Statistical AnalysisAuto-tests
GO / KEGG EnrichmentPathways
GSEAGene sets
MorphometricsImaging
Single CellscRNA-seq
Variant AnnotationDNA / RNA
Linkage MapperMutation mapping
The workflow

From FASTQ to figures
in three steps.

No conda. No module load. No PATH. The aligner, indexes and reference annotation all ship inside the app.

STEP 01

Drop your FASTQ files.

Start from any format — FASTQ, BAM, or a CSV count matrix. Drag, drop, done.

STEP 02

Haritica handles alignment.

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

STEP 03

Publication-grade in minutes.

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

Haritica — Processing
Real-time pipeline progress in Haritica
§ Zero setup

The setup that used to take an afternoon.

Aligning a single RNA-seq sample the old way means installing tools, fetching genomes, and building indexes by hand.

The old way

zsh — align RNA-seq
$conda install -c bioconda hisat2 samtools subread
$wget ftp://…/hg38.fa.gz && gunzip hg38.fa.gz
$hisat2-build hg38.fa hg38_index
$wget ftp://ensembl/…/Homo_sapiens.GRCh38.110.gtf.gz
$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 an hour just to prepare files.

With Haritica

Drop FASTQ files here

or click to browse

sample_R1.fastq.gz
sample_R2.fastq.gz

Bundled HISAT2 indexes & GTF files. Everything ships with the app.

§ Guided statistics

It knows which test to run.

Pick your question. Haritica recommends the appropriate statistical method and runs it for you.

Your data
Compare groups?
2 groupst-test
3+ groupsANOVA
Relationships?
PairwiseCorrelation
PredictRegression
Reduce dimensions?
LinearPCA
Non-linearClustering
§ In the app

Figures you can actually publish.

Volcano plots, heatmaps, UMAPs, enrichment maps and network modules — interactive, customizable, export-ready.

Your data stays yours.

The desktop app processes your data on your machine. Cloud compute is available — opt-in — when a job needs to scale beyond your local resources. No analytics, no tracking.

Get started

Start with a positive control.

Download Haritica, reproduce a published result on day one, then point it at your own data. 14-day free trial — no credit card.