Evidence map›Paper›PMID 27869815›Full record

ArticleNature methods2017

TACO produces robust multisample transcriptome assemblies from RNA-seq.

Yashar S Niknafs, Balaji Pandian, Hariharan K Iyer, Arul M Chinnaiyan, Matthew K Iyer

Abstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

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  9. ComprehensiveNon-coding RNA · 2026
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72 more citing papers are in PubMed but not listed here.

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

5 authors.

Yashar S NiknafsMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Balaji PandianMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Hariharan K IyerDepartment of Statistics, Colorado State University, Fort Collins, Colorado, USA.
Arul M ChinnaiyanMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Matthew K IyerMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan, USA.

Funding

MICHIGAN MEDICAL SCIENTIST TRAINING PROGRAMT32GM007863 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLLINS, KATHLEEN L. · 1985 to 2024
$38.3M
Tissue/InformaticsP50CA186786 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu · 2014 to 2026
$27.6M
CELLULAR AND MOLECULAR BIOLOGY AT MICHIGANT32GM007315 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PUTHENVEEDU, MANOJKUMAR A · 1985 to 2021
$12.8M
University of Michigan Proteogenomics Data Analysis CenterU24CA210967 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M, DHANASEKARAN, SARAVANA M · 2016 to 2020
$4.1M
Discovery and qualification of transcriptomic biomarkers for the early detection of aggressive prostate cancerU01CA214170 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHINNAIYAN, ARUL M · 2016 to 2021
$3.3M
Discovery and Characterization of an Estrogen Responsive Long Non-Coding RNAF30CA200328 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NIKNAFS, YASHAR SHARIFI · 2016 to 2017
$38k
Howard Hughes Medical InstituteNCI NIH HHS F30 CA200328NCI NIH HHS P50 CA186786NCI NIH HHS U01 CA214170NCI NIH HHS U24 CA210967NIGMS NIH HHS T32 GM007315NIGMS NIH HHS T32 GM007863
6 · The paper itself

Abstract

Accurate transcript structure and abundance inference from RNA sequencing (RNA-seq) data is foundational for molecular discovery. Here we present TACO, a computational method to reconstruct a consensus transcriptome from multiple RNA-seq data sets. TACO employs novel change-point detection to demarcate transcript start and end sites, leading to improved reconstruction accuracy compared with other tools in its class. The tool is available at http://tacorna.github.io and can be readily incorporated into RNA-seq analysis workflows.

Indexed as

SoftwareAlgorithmsComputational BiologyGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansTranscriptome

Identifiers

PMID27869815
PMCPMC5199618

What OpenQuestion holds

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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.