Evidence map›Paper›PMID 27721650›Full record

ReviewEvolutionary bioinformatics online2016

Approaching Long Genomic Regions and Large Recombination Rates with msParSm as an Alternative to MaCS.

Carlos Montemuiño, Antonio Espinosa, Juan C Moure, Gonzalo Vera, Porfidio Hernández, Sebastián Ramos-Onsins

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Evolutionary bioinformatics online, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Carlos MontemuiñoComputer Architecture and Operating Systems Department (CAOS), Universitat Autònoma de Barcelona, Bellaterra, Spain.
Antonio EspinosaComputer Architecture and Operating Systems Department (CAOS), Universitat Autònoma de Barcelona, Bellaterra, Spain.
Juan C MoureComputer Architecture and Operating Systems Department (CAOS), Universitat Autònoma de Barcelona, Bellaterra, Spain.
Gonzalo VeraCentre for Research in Agricultural Genomics (CRAG) Consortium CSIC-IRTA-UAB-UB Edifici CRAG, Campus UAB, Bellaterra, Spain.
Porfidio HernándezComputer Architecture and Operating Systems Department (CAOS), Universitat Autònoma de Barcelona, Bellaterra, Spain.
Sebastián Ramos-OnsinsCentre for Research in Agricultural Genomics (CRAG) Consortium CSIC-IRTA-UAB-UB Edifici CRAG, Campus UAB, Bellaterra, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The msParSm application is an evolution of msPar, the parallel version of the coalescent simulation program ms, which removes the limitation for simulating long stretches of DNA sequences with large recombination rates, without compromising the accuracy of the standard coalescence. This work introduces msParSm, describes its significant performance improvements over msPar and its shared memory parallelization details, and shows how it can get better, if not similar, execution times than MaCS. Two case studies with different mutation rates were analyzed, one approximating the human average and the other approximating the

Indexed as

coalescenceHPCMPIrecombinationsequential Markov coalescent

Identifiers

PMID27721650
PMCPMC5047705

What OpenQuestion holds

Textmetadata
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.