Evidence map›Paper›PMID 32489399›Full record

ArticleAlgorithms for molecular biology : AMB2020

Context-aware seeds for read mapping.

Hongyi Xin, Mingfu Shao, Carl Kingsford

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Hongyi XinComputer Science Department, Carnegie Mellon University, Pittsburgh, 15213 USA.
Mingfu ShaoDepartment of Computer Science and Engineering, Pennsylvania State University, State College, 16801 USA.
Carl KingsfordComputational Biology Department, Carnegie Mellon University, Pittsburgh, 15213 USA.ORCID 0000-0002-0118-5516

Funding

Data Discovery: Computational Methods for Searching Short-Read Sequencing Experiments - Administrative SupplementR01GM122935 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI KINGSFORD, CARLETON LEE · 2017 to 2021
$1.2M
NIGMS NIH HHS R01 GM122935
6 · The paper itself

Abstract

motivationMost modern seed-and-extend NGS read mappers employ a seeding scheme that requires extracting

resultsWe propose a novel seeding framework, context-aware seeds (CAS). CAS guarantees finding all valid mappings but uses fewer (and longer) seeds, which reduces seed frequencies and increases efficiency of mappers. CAS achieves this improvement by attaching a confidence radius to each seed in the reference. We prove that all valid mappings can be found if the sum of confidence radii of seeds are greater than AVAILABILITY: https://github.com/Kingsford-Group/CAS_code.

Indexed as

Error toleranceRead mappingSeed and extendSeeds

Identifiers

PMID32489399
PMCPMC7245042

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.