Evidence map›Paper›PMID 28435440›Full record

ArticleAlgorithms for molecular biology : AMB2017

Core column prediction for protein multiple sequence alignments.

Dan DeBlasio, John Kececioglu

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2017. 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

2 authors.

Dan DeBlasioDepartment of Computer Science, The University of Arizona, Tucson, AZ 85721 USA.ORCID 0000-0003-4110-4431
John KececiogluDepartment of Computer Science, The University of Arizona, Tucson, AZ 85721 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a computed protein multiple sequence alignment, the

resultsWe develop for the first time a

Indexed as

Accuracy estimationAlignment accuracyCore blocksMachine learningMultiple sequence alignmentParameter advisingRegression

Identifiers

PMID28435440
PMCPMC5397798

What OpenQuestion 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 OpenQuestion graph.