Evidence map›Paper›PMID 11544201›Full record

ArticleGenome research2001

cis element/transcription factor analysis (cis/TF): a method for discovering transcription factor/cis element relationships.

K Birnbaum, P N Benfey, D E Shasha

Abstract readComparative Study
In one paragraph

Article in Genome research, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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.

K BirnbaumDepartment of Biology, New York University, New York, New York 10003, USA.
P N Benfey
D E Shasha

Funding

MOLECULAR GENETIC ANALYSIS OF ROOT MORPHOGENESISR01GM043778 · NIGMS · ROCKEFELLER UNIVERSITY · PI BENFEY, PHILIP N · 1991 to 2017
$5.4M
NIGMS NIH HHS GM43778NIGMS NIH HHS R01 GM043778
6 · The paper itself

Abstract

We report a simple new algorithm, cis/TF, that uses genomewide expression data and the full genomic sequence to match transcription factors to their binding sites. Most previous computational methods discovered binding sites by clustering genes having similar expression patterns and then identifying over-represented subsequences in the promoter regions of those genes. By contrast, cis/TF asserts that B is a likely binding site of a transcription factor T if the expression pattern of T is correlated to the composite expression patterns of all genes containing B, even when those genes are not mutually correlated. Thus, our method focuses on binding sites rather than genes. The algorithm has successfully identified experimentally-supported transcription factor binding relationships in tests on several data sets from Saccharomyces cerevisiae.

Indexed as

AlgorithmsFalse Positive ReactionsGene Expression ProfilingMutagenesis, Site-DirectedResponse ElementsSaccharomyces cerevisiaeSensitivity and SpecificitySequence DeletionSoftwareTranscription FactorsTranscription Factors

Identifiers

PMID11544201
PMCPMC311103

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.