Evidence map›Paper›PMID 22121326›Full record

ArticleJournal of computer science and technology2010

New Generations: Sequencing Machines and Their Computational Challenges.

David C Schwartz, Michael S Waterman

Abstract read
In one paragraph

Article in Journal of computer science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Biophysics and the Genomic Sciences.Biophysical journal · 2019
    Review
  3. Article
  4. Article
  5. Article
  6. 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

2 authors.

David C SchwartzLaboratory for Molecular and Computational Genomics, Department of Chemistry and Laboratory of Genetics, University of Wisconsin-Madison, WI 53706 USA.
Michael S Waterman

Funding

NEW PHYSICAL METHODOLOGIES FOR GENOMIC ANALYSISR01HG000225 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI SCHWARTZ, DAVID C. · 1991 to 2014
$5.2M
NHGRI NIH HHS R01 HG000225
6 · The paper itself

Abstract

New generation sequencing systems are changing how molecular biology is practiced. The widely promoted $1000 genome will be a reality with attendant changes for healthcare, including personalized medicine. More broadly the genomes of many new organisms with large samplings from populations will be commonplace. What is less appreciated is the explosive demands on computation, both for CPU cycles and storage as well as the need for new computational methods. In this article we will survey some of these developments and demands.

Identifiers

PMID22121326
PMCPMC3222932

What OpenQuestion holds

Textmetadata
LicenceTDM
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.