Correction: Integrating transcriptomic network reconstruction and eQTL analyses reveals mechanistic connections between genomic architecture and Brassica rapa development
Authors:
Robert L. Baker; Wen Fung Leong; Marcus T. Brock; Matthew J. Rubin; R. J. Cody Markelz; Stephen Welch; Julin N. Maloof; Cynthia Weinig
Published in the journal:
Correction: Integrating transcriptomic network reconstruction and eQTL analyses reveals mechanistic connections between genomic architecture and Brassica rapa development. PLoS Genet 16(10): e32767. doi:10.1371/journal.pgen.1009131
Category:
Correction
doi:
https://doi.org/10.1371/journal.pgen.1009131
In the Data Availability Statement, the following information is missing: Code for building networks from B. rapa RIL RNAseq data can be found at https://github.com/MaloofLab/Baker-2019-PLosG-Brapa-neworks.
Zdroje
1. Baker RL, Leong WF, Brock MT, Rubin MJ, Markelz RJC, Welch S, et al. (2019) Integrating transcriptomic network reconstruction and eQTL analyses reveals mechanistic connections between genomic architecture and Brassica rapa development. PLoS Genet 15(9): e1008367. https://doi.org/10.1371/journal.pgen.1008367 31513571
Článek vyšel v časopise
PLOS Genetics
2020 Číslo 10
- Prof. Libor Grubhoffer: Nová varianta mpox je příležitostí pokročit v poznání původce varioly
- Co obsahují nové pokyny WHO pro dozor nad antibiotickou rezistencí?
- AI místo lékaře? Výzkum zkoumal ochotu Čechů konzultovat své zdraví s umělou inteligencí
- Prof. Jan Škrha: Metformin je bezpečný, ale je třeba jej bezpečně užívat a léčbu kontrolovat
- Ibuprofen jako alternativa antibiotik při léčbě infekcí močových cest
Nejčtenější v tomto čísle
- Evaluation of both exonic and intronic variants for effects on RNA splicing allows for accurate assessment of the effectiveness of precision therapies
- RNA-directed DNA Methylation
- The DNA methylome of human sperm is distinct from blood with little evidence for tissue-consistent obesity associations
- Correction: Molecular predictors of brain metastasis-related microRNAs in lung adenocarcinoma