Evidence map›Paper›PMID 29927069›Full record

ArticleCurrent protocols in bioinformatics2018

Using LICHeE and BAMSE for Reconstructing Cancer Phylogenetic Trees.

Camir Ricketts, Victoria Popic, Hosein Toosi, Iman Hajirasouliha

Abstract read
In one paragraph

Article in Current protocols in bioinformatics, 2018. 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. Article
  2. Article
  3. Review
  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

4 authors.

Camir RickettsTri-I Computational Biology & Medicine Graduate Program, Cornell University, New York, New York.
Victoria PopicIllumina Inc. Illumina Mission Bay, San Francisco, California.
Hosein ToosiDepartment of Bioinformatics, Institute for Biochemistry and Biophysics, University of Tehran, Iran.
Iman HajirasoulihaInstitute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.

Funding

Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

The reconstruction of cancer phylogeny trees and quantifying the evolution of the disease is a challenging task. LICHeE and BAMSE are two computational tools designed and implemented recently for this purpose. They both utilize estimated variant allele fraction of somatic mutations across multiple samples to infer the most likely cancer phylogenies. This unit provides extensive guidelines for installing and running both LICHeE and BAMSE. © 2018 by John Wiley & Sons, Inc.

Indexed as

AlgorithmsPhylogenyComputational BiologyHumansNeoplasmscancer phylogenydeep sequencingnext-generation sequencingsomatic variationstumor heterogeneity

Identifiers

PMID29927069
PMCPMC6020047

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.