Evidence map›Paper›PMID 38273664›Full record

ArticleBioinformatics (Oxford, England)2024

TKSM: highly modular, user-customizable, and scalable transcriptomic sequencing long-read simulator.

Fatih Karaoğlanoğlu, Baraa Orabi, Ryan Flannigan, Cedric Chauve, Faraz Hach

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Fatih KaraoğlanoğluComputing Science Department, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0002-8505-9241
Baraa OrabiDepartment of Computer Science, the University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0003-1294-9830
Ryan FlanniganDepartment of Urologic Sciences, the University of British Columbia, Vancouver, BC V5Z 1M9, Canada.ORCID 0000-0001-6964-7521
Cedric ChauveDepartment of Mathematics, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.ORCID 0000-0001-9837-1878
Faraz HachDepartment of Computer Science, the University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0003-1143-0172

Funding

National Science and Engineering Council of Canada RGPIN-05952
6 · The paper itself

Abstract

motivationTranscriptomic long-read (LR) sequencing is an increasingly cost-effective technology for probing various RNA features. Numerous tools have been developed to tackle various transcriptomic sequencing tasks (e.g. isoform and gene fusion detection). However, the lack of abundant gold-standard datasets hinders the benchmarking of such tools. Therefore, the simulation of LR sequencing is an important and practical alternative. While the existing LR simulators aim to imitate the sequencing machine noise and to target specific library protocols, they lack some important library preparation steps (e.g. PCR) and are difficult to modify to new and changing library preparation techniques (e.g. single-cell LRs).

resultsWe present TKSM, a modular and scalable LR simulator, designed so that each RNA modification step is targeted explicitly by a specific module. This allows the user to assemble a simulation pipeline as a combination of TKSM modules to emulate a specific sequencing design. Additionally, the input/output of all the core modules of TKSM follows the same simple format (Molecule Description Format) allowing the user to easily extend TKSM with new modules targeting new library preparation steps. AVAILABILITY AND IMPLEMENTATION: TKSM is available as an open source software at https://github.com/vpc-ccg/tksm.

Indexed as

High-Throughput Nucleotide SequencingSoftwareComputer SimulationGene Expression ProfilingRNARNA

Identifiers

PMID38273664
PMCPMC10868325

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LicenceCC BY
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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.