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Updated: Feb 9, 2026

Cell Based Assays of SINEUP Non-coding RNAs That Can Specifically Enhance mRNA Translation
Published on: February 1, 2019
Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram
Pankaj Kumar Singh1, Sayak Ganguli2, Amita Pal1
1Division of Plant Biology, Bose Institute, Kolkata 700054, India.
Abstract:
Blackgram (Vigna mungo) is one of primary legumes cultivated throughout India, Cv.T9 being one of its common high yielding cultivar. This article reports RNA sequencing data and a pipeline for prediction of novel long non-coding RNAs from the sequenced data. The raw data generated during sequencing are available at Sequence Read Archive (SRA) of NCBI with accession number- SRX1558530.
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