Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9

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...

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Autores principales: Singh, Pankaj Kumar, Ganguli, Sayak, Pal, Amita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Agricultural and Biological Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988335/
https://www.ncbi.nlm.nih.gov/pubmed/29876418
http://dx.doi.org/10.1016/j.dib.2018.01.043
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author Singh, Pankaj Kumar
Ganguli, Sayak
Pal, Amita
author_facet Singh, Pankaj Kumar
Ganguli, Sayak
Pal, Amita
author_sort Singh, Pankaj Kumar
collection PubMed
description 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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spelling pubmed-59883352018-06-06 Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9 Singh, Pankaj Kumar Ganguli, Sayak Pal, Amita Data Brief Agricultural and Biological Science 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 Elsevier 2018-02-20 /pmc/articles/PMC5988335/ /pubmed/29876418 http://dx.doi.org/10.1016/j.dib.2018.01.043 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Agricultural and Biological Science
Singh, Pankaj Kumar
Ganguli, Sayak
Pal, Amita
Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9
title Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9
title_full Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9
title_fullStr Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9
title_full_unstemmed Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9
title_short Screening and Identification of putative long non coding RNAs from transcriptome data of a high yielding blackgram (Vigna mungo), Cv. T9
title_sort screening and identification of putative long non coding rnas from transcriptome data of a high yielding blackgram (vigna mungo), cv. t9
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988335/
https://www.ncbi.nlm.nih.gov/pubmed/29876418
http://dx.doi.org/10.1016/j.dib.2018.01.043
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