Evidence map›Paper›PMID 33835441›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

QuickIsoSeq for Isoform Quantification in Large-Scale RNA Sequencing.

Ramya Gamini, Reiko Nakashima, Wen He, Chi Zhang, Ying Huang, Ying Zhang, Baohong Zhang, Shanrong Zhao

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ramya Gamini *Pfizer Worldwide Research and Development, Cambridge, MA, USA.
Reiko Nakashima *Pfizer Worldwide Research and Development, Cambridge, MA, USA.
Wen HePfizer Worldwide Research and Development, Cambridge, MA, USA.
Chi ZhangPfizer Worldwide Research and Development, Cambridge, MA, USA.
Ying HuangPfizer Worldwide Research and Development, Cambridge, MA, USA.
Ying ZhangPfizer Worldwide Research and Development, Cambridge, MA, USA.
Baohong ZhangPfizer Worldwide Research and Development, Cambridge, MA, USA.
Shanrong ZhaoPfizer Worldwide Research and Development, Cambridge, MA, USA. szhao@abscibio.com.
Pfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-sequencing (RNA-seq) is a powerful technology for transcriptome profiling. While most RNA-seq projects focus on gene-level quantification and analysis, there is growing evidence that most mammalian genes are alternatively spliced to generate different isoforms that can be subsequently translated to protein molecules with diverse or even opposing biological functions. Quantifying the expression levels of these isoforms is key to understanding the genes biological functions in healthy tissues and the progression of diseases. Among open source tools developed for isoform quantification, Salmon, Kallisto, and RSEM are recommended based upon previous systematic evaluation of these tools using both experimental and simulated RNA-seq datasets. However, isoform quantification in practical RNA-seq data analysis needs to deal with many QC issues, such as the abundance of rRNAs in mRNA-seq, the efficiency of globin RNA depletion in whole blood samples, and potential sample swapping. To overcome these practical challenges, QuickIsoSeq was developed for large-scale RNA-seq isoform quantification along with QC. In this chapter, we describe the pipeline and detailed the steps required to deploy and use it to analyze RNA-seq datasets in practice. The QuickIsoSeq package can be downloaded from https://github.com/shanrongzhao/QuickIsoSeq.

Indexed as

AlgorithmsAnimalsBase SequenceComputational BiologyGene Expression ProfilingGenetic TechniquesHumansOrgan SpecificityProtein IsoformsRNARNA, MessengerRNA-SeqSoftwareProtein IsoformsRNARNA, MessengerIsoform quantificationQuickIsoSeqRNA-seqRNA-seq pipeline

Identifiers

PMID33835441
OpenAlexW3144141063

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.