Genomics — Bioinformatics — Sequence Intelligence

From annotation to FASTA in seconds

FAS2rDNA converts genomic coordinates into multi-FASTA sequences — automatically, across 27 assemblies, at any scale. No manual database queries. No formatting overhead.

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FAS2rDNA framework diagram — genomic coordinate to FASTA pipeline

FAS2rDNA pipeline framework

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What FAS2rDNA does

FAS2rDNA simplifies extraction and reconstruction of DNA sequences by transforming tabulated input data into reconstructed multi-FASTA outputs. Given genomic coordinates, it automatically retrieves reference genomes and reconstructs corresponding DNA sequences in a reproducible, deterministic manner.

Modern genomics is no longer limited by data generation — but by how efficiently genomic information is transformed into machine-usable representations. FAS2rDNA bridges coordinate-based genomic data and sequence-level analysis.

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Batch & multi-region

Process thousands of genomic regions across multiple assemblies in a single run. No per-entry manual lookup.

Assembly-aware

Automatically detects assemblies from your seq_loc column. Supports 27 assemblies across 7 species.

Strand-aware reconstruction

Correctly handles positive and negative strand sequences with complement and reverse operations.

See how it works →

Learn how to easily run your first FAS2rDNA experiment.

Three ways to use FAS2rDNA

CLI

High-performance, production-scale workflows. For local machines, servers, and HPC environments.

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Colab

Runs entirely in the browser via Google Colab. No local setup. Ideal for demos and exploratory analysis.

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Web — New

Register for free. Upload your TSV, configure your run, and download results — no install needed.

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Publications

FAS2rDNA-Colab: A cloud-based workflow for pan-cancer, isoform-wide miRNome reconstitution across TCGA cohorts. (2025). Protocols.io

DOI: 10.17504/protocols.io.14egn1xr6v5d/v1

High-throughput isoform-wide miRNome sequence reconstruction in the TCGA-LUAD cohort using FAS2rDNA. (2025). Protocols.io

DOI: 10.17504/protocols.io.rm7vzenqxvx1/v1

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