Evidence map›Paper›PMID 41750381›Full record

ArticleBiomolecules2026

SnakeBITE: A SNAKEmake-Based Interface for Third-Generation Sequencing Data Analysis.

Andrea Bimbocci, Marta Baragli, Alberto Magi

Abstract read
In one paragraph

Article in Biomolecules, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andrea BimbocciDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.
Marta BaragliDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.
Alberto MagiDepartment of Information Engineering, University of Florence, 50139 Florence, Italy.ORCID 0000-0001-7393-4283

Funding

Ministero dell'università e della ricerca B53D23007820006Ministero dell'università e della ricerca B83C22003920001
6 · The paper itself

Abstract

In recent years, the use of computational pipelines for the analysis of omic data has become routine in bioinformatics, particularly with the advent of Next-Generation Sequencing (NGS) technologies. These technologies generate vast amounts of data that necessitate sophisticated analysis methods, often requiring programming skills and command-line interface proficiency. This complexity poses challenges for users from various backgrounds, including clinicians and biologists. Current solutions often involve workflow management tools and graphical user interfaces to simplify pipeline creation and execution. However, these tools predominantly cater to NGS data and are not fully adaptable to Third-Generation Sequencing (TGS) data, such as that produced by Oxford Nanopore Technologies (ONT). Here we present SnakeBITE, a modular genomic data analysis pipeline builder based on the Snakemake workflow manager, integrated with an interactive Shiny-based interface. SnakeBITE enables users to configure and execute TGS data analysis workflows locally without requiring programming expertise. The application supports the full ONT genomics data analysis pipeline, including base calling, alignment, variant calling, and annotation. Our results demonstrate SnakeBITE's capacity to handle various stages of ONT data analysis efficiently, offering a user-friendly and highly customizable tool that bridges the gap between sophisticated data analysis and user accessibility.

Indexed as

Computational BiologyGenomicsHigh-Throughput Nucleotide SequencingSoftwareAnimalsSequence Analysis, DNAUser-Computer InterfaceWorkflowgenomicsgraphical user interfacenanopore sequencing

Identifiers

PMID41750381
PMCPMC12937855

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.