Evidence map›Paper›PMID 41798258›Full record

ArticlemicroPublication biology2026

Extending Biopython to combine multiple sequence alignments with the same reference into a Multiple Sequence Alignment.

Cassia Bastress, Michiel de Hoon, Manuel Lera-Ramirez, Jürg Bähler

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

4 authors.

Cassia BastressFaculty of Science, McGill University, Montréal, Canada.
Michiel de HoonRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Manuel Lera-RamirezUniversity College London, London, United Kingdom.
Jürg BählerUniversity College London, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Pairwise alignments (PWAs) are commonly used to compare sequences to a reference. Existing alignment tools provide algorithms to align multiple sequences to a single reference and to merge two sets of aligned sequences; but not to combine individually aligned PWAs with a common reference into a single MSA which preserves their original alignment structure. This is required for certain workflows. One example is aligning multiple sequencing traces with a circular plasmid sequence for validation. Some alignment tools that take into account the circularity of the plasmid sequence return a PWA per sequencing trace. For visualization, all PWAs have to be combined into a single MSA. For this purpose, we developed an algorithm that combines alignments sharing the same reference into an MSA, and implemented it as a classmethod in Biopython's Alignment class.

Identifiers

PMID41798258
PMCPMC12961406

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Registered trials

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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 OpenQuestion graph.