@article {1323, title = {Dataset for the combined transcriptome assembly of M. oleifera and functional annotation [Next Gen Genomics Facility (INT)]}, journal = {Data in Brief}, year = {2020}, pages = {105416}, abstract = {

In this paper, we present the data acquired during transcriptome analysis of the plant Moringa oleifera [1] from five different tissues (root, stem, leaf, flower and seed) by RNA sequencing. A total of 271 million reads were assembled with an N50 of 2094bp. The combined transcriptome was assessed for transcript abundance across five tissues. The protein coding genes identified from the transcripts were annotated and used for orthology analysis. Further, enzymes involved in the biosynthesis of select medicinally important secondary metabolites, vitamins and ion transporters were identified and their expression levels across tissues were examined. The data generated by RNA sequencing has been deposited to NCBI public repository under the accession number PRJNA394193 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA394193).

}, keywords = {Annotation, Enrichment analysis, Gene Expression, Metabolic pathway, Orthology, Transcriptome}, issn = {2352-3409}, doi = {https://doi.org/10.1016/j.dib.2020.105416}, url = {http://www.sciencedirect.com/science/article/pii/S2352340920303103}, author = {K. Mohamed Shafi and Adwait G. Joshi and Iyer Meenakshi and Shaik Naseer Pasha and K. Harini and Jarjapu Mahita and Radha Sivarajan Sajeevan and Snehal D. Karpe and Pritha Ghosh and Sathyanarayanan Nitish and A. Gandhimathi and Oommen K. Mathew and Subramanian Hari Prasanna and Manoharan Malini and Eshita Mutt and Mahantesha Naika and Nithin Ravooru and Rajas M. Rao and Prashant N. Shingate and Anshul Sukhwal and Margaret S. Sunitha and Atul K. Upadhyay and Rithvik S. Vinekar and Ramanathan Sowdhamini} } @article {1465, title = {A knowledge-driven protocol for prediction of proteins of interest with an emphasis on biosynthetic pathways [Next Gen Genomics Facility (INT)]}, journal = {MethodsX}, year = {2020}, pages = {101053}, abstract = {

This protocol describes a stepwise process to identify proteins of interest from a query proteome derived from NGS data. We implemented this protocol on Moringa oleifera transcriptome to identify proteins involved in secondary metabolite and vitamin biosynthesis and ion transport. This knowledge-driven protocol identifies proteins using an integrated approach involving sensitive sequence search and evolutionary relationships. We make use of functionally important residues (FIR) specific for the query protein family identified through its homologous sequences and literature. We screen protein hits based on the clustering with true homologues through phylogenetic tree reconstruction complemented with the FIR mapping. The protocol was validated for the protein hits through qRT-PCR and transcriptome quantification. Our protocol demonstrated a higher specificity as compared to other methods, particularly in distinguishing cross-family hits. This protocol was effective in transcriptome data analysis of M. oleifera as described in Pasha et. al.{\textbullet}Knowledge-driven protocol to identify secondary metabolite synthesizing protein in a highly specific manner.{\textbullet}Use of functionally important residues for screening of true hits.{\textbullet}Beneficial for metabolite pathway reconstruction in any (species, metagenomics) NGS data.

}, keywords = {functionally important residue, homology, multiple sequence alignment, Pathway, phylogenetic analysis}, issn = {2215-0161}, doi = {https://doi.org/10.1016/j.mex.2020.101053}, url = {http://www.sciencedirect.com/science/article/pii/S2215016120302739}, author = {Adwait G. Joshi and K. Harini and Iyer Meenakshi and K. Mohamed Shafi and Shaik Naseer Pasha and Jarjapu Mahita and Radha Sivarajan Sajeevan and Snehal D. Karpe and Pritha Ghosh and Sathyanarayanan Nitish and A. Gandhimathi and Oommen K. Mathew and Subramanian Hari Prasanna and Manoharan Malini and Eshita Mutt and Mahantesha Naika and Nithin Ravooru and Rajas M. Rao and Prashant N. Shingate and Anshul Sukhwal and Margaret S. Sunitha and Atul K. Upadhyay and Rithvik S. Vinekar and Ramanathan Sowdhamini} }