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Updated: Sep 5, 2025

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

SPLASH: a statistical, reference-free genomic algorithm unifies biological discovery.

Kaitlin Chaung^1,2, Tavor Z Baharav³, George Henderson^1,2

¹Department of Biomedical Data Science, Stanford University, Stanford, 94305, USA.

Biorxiv : the Preprint Server for Biology

|July 7, 2022

Summary

This summary is machine-generated.

We developed Statistically Primary aLignment Agnostic Sequence Homing (SPLASH), a novel genomics approach. SPLASH analyzes raw sequencing data to uncover sample-specific sequence variations, enabling broader biological discovery without needing reference genomes.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Genomic analysis often relies on reference sequences, limiting the discovery of novel variations and biological insights.
Existing methods struggle to identify complex or sample-specific sequence variations efficiently.

Conclusions:

SPLASH offers a computationally efficient and scalable unifying approach for genomic analysis.
The method enables expansive biological discovery by directly analyzing sequence variation without reliance on metadata or references.
SPLASH significantly advances the potential for uncovering complex genomic patterns and understanding biology in diverse organisms.