Long-TREC: The Long-Reads Transcriptomics European Consortium. The next generation transcriptome biology revealed by single molecule sequencing technologies

Projektinformationen

LongTREC

ID Finanzhilfevereinbarung: 101072892

DOI

10.3030/101072892

EK-Unterschriftsdatum 14 Juli 2022

Startdatum 1 Oktober 2022

Enddatum 30 September 2026

Finanziert unter

• Marie Skłodowska-Curie Actions (MSCA)

Gesamtkosten

Keine Daten

EU-Beitrag

€ 2 621 931,00

Koordiniert durch

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (9)

Interim report including links to a protocol repository

Updated report on the state of library preparation, sequencing and mapping algorithm developments, including links to a protocol repository (i.e. protocols.io) and GitHub for code of novel mapping algorithms

Interim report on the state of algorithm developments in WP4 applied to use cases

Updated progress report on the state of algorithm developments in WP4, including a list of links to GitHub repositories containing code

Initial report on the state of algorithm developments in WP5
Interim report on the state of algorithm developed in WP5 and pipelines comparison

Updated progress report on the state of algorithm developments in WP5 and comparison of pipelines

Initial progress report on the state of algorithm developments in WP3

Progress report on the state of algorithm developments in WP3

Progress report on the state of library preparation, sequencing and mapping algorithm

Progress report on the state of library preparation, sequencing, and mapping algorithm developments.

Interim report on the state of algorithm developed in WP3, including benchmarks

Updated progress report on the state of algorithm developments in WP3, including a list of links to a GitHub repository containing code

Progress report on the state of algorithm developments in WP4
LongTREC website and social network profiles

Veröffentlichungen

Peer reviewed articles (6)

IsoTools 2.0: Software for Comprehensive Analysis of Long-read Transcriptome Sequencing Data

Autoren: Yalan Bi, Tom Lukas Lankenau, Matthias Lienhard, Ralf Herwig
Veröffentlicht in: Journal of Molecular Biology, 2025, ISSN 0022-2836
Herausgeber: Elsevier BV
DOI: 10.1016/j.jmb.2025.169049

Icarust, a real-time simulator for Oxford Nanopore adaptive sampling

Autoren: Rory Munro, Satrio Wibowo, Alexander Payne, Matthew Loose
Veröffentlicht in: Bioinformatics, Ausgabe 40, 2024, ISSN 1367-4811
Herausgeber: Oxford University Press (OUP)
DOI: 10.1093/bioinformatics/btae141

Long-read transcriptome sequencing of CLL and MDS patients uncovers molecular effects of<i>SF3B1</i>mutations

Autoren: Alicja Pacholewska, Matthias Lienhard, Mirko Brüggemann, Heike Hänel, Lorina Bilalli, Anja Königs, Felix Heß, Kerstin Becker, Karl Köhrer, Jesko Kaiser, Holger Gohlke, Norbert Gattermann, Michael Hallek, Carmen D. Herling, Julian König, Christina Grimm, Ralf Herwig, Kathi Zarnack, Michal R. Schweiger
Veröffentlicht in: Genome Research, Ausgabe 34, 2024, ISSN 1088-9051
Herausgeber: Cold Spring Harbor Laboratory
DOI: 10.1101/GR.279327.124

Evidence-based unification of potato gene models with the UniTato collaborative genome browser

Autoren: Maja Zagorščak, Jan Zrimec, Carissa Bleker, Nadja Nolte, Mojca Juteršek, Živa Ramšak, Kristina Gruden, Marko Petek
Veröffentlicht in: Frontiers in Plant Science, Ausgabe 15, 2024, ISSN 1664-462X
Herausgeber: Frontiers Media SA
DOI: 10.3389/FPLS.2024.1352253

Toward the use of nanopore RNA sequencing technologies in the clinic: challenges and opportunities

Autoren: Xanthi-Lida Katopodi, Oguzhan Begik, Eva Maria Novoa
Veröffentlicht in: Nucleic Acids Research, Ausgabe 53, 2025, ISSN 0305-1048
Herausgeber: Oxford University Press (OUP)
DOI: 10.1093/NAR/GKAF128

Profiling the epigenome using long-read sequencing

Autoren: Tianyuan Liu, Ana Conesa
Veröffentlicht in: Nature Genetics, Ausgabe 57, 2025, ISSN 1061-4036
Herausgeber: Springer Science and Business Media LLC
DOI: 10.1038/s41588-024-02038-5