TY - JOUR
T1 - RATTLE
T2 - reference-free reconstruction and quantification of transcriptomes from Nanopore sequencing
AU - de la Rubia, Ivan
AU - Srivastava, Akanksha
AU - Xue, Wenjing
AU - Indi, Joel A.
AU - Carbonell-Sala, Silvia
AU - Lagarde, Julien
AU - Albà, M. Mar
AU - Eyras, Eduardo
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Nanopore sequencing enables the efficient and unbiased measurement of transcriptomes. Current methods for transcript identification and quantification rely on mapping reads to a reference genome, which precludes the study of species with a partial or missing reference or the identification of disease-specific transcripts not readily identifiable from a reference. We present RATTLE, a tool to perform reference-free reconstruction and quantification of transcripts using only Nanopore reads. Using simulated data and experimental data from isoform spike-ins, human tissues, and cell lines, we show that RATTLE accurately determines transcript sequences and their abundances, and shows good scalability with the number of transcripts.
AB - Nanopore sequencing enables the efficient and unbiased measurement of transcriptomes. Current methods for transcript identification and quantification rely on mapping reads to a reference genome, which precludes the study of species with a partial or missing reference or the identification of disease-specific transcripts not readily identifiable from a reference. We present RATTLE, a tool to perform reference-free reconstruction and quantification of transcripts using only Nanopore reads. Using simulated data and experimental data from isoform spike-ins, human tissues, and cell lines, we show that RATTLE accurately determines transcript sequences and their abundances, and shows good scalability with the number of transcripts.
UR - http://www.scopus.com/inward/record.url?scp=85133678021&partnerID=8YFLogxK
U2 - 10.1186/s13059-022-02715-w
DO - 10.1186/s13059-022-02715-w
M3 - Article
SN - 1474-7596
VL - 23
JO - Genome Biology
JF - Genome Biology
IS - 1
M1 - 153
ER -