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Mantri Lab

@MantriLab

Interested in unlocking genomics potential for increased nutrition & productivity; metagenome mining to explore novel regions of natural product chemical space

 NABI Mohali
nabi.res.in/profile/scientists?id=MTU%3D
Joined November 2022
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Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)Photo by Mantri Lab (@MantriLab)
Exciting new preprint from our collaborators! It describes the data standard for tailoring enzymes and their reactions, currently utilized in creating a new database. Check it out below!
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BRIC-NABI@NABI_India25 Jun 2023
We invite applications from young researchers to pursue their research career leading to PhD degree through ⁦@unescorcb⁩ . For details of the different research areas do check the faculty profiles and list of publications. NABI Careers recruitment.nabi.res.in/nabi…
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As Turkish students at @uni_tue, we expect your support for the earthquake in Turkey. Organizations and Links: AFAD: en.afad.gov.tr/earthquake-ca… AKUT: akut.org.tr/en/donation AHBAP: ahbap.org/disasters-turkey
Image from Turgut Yılmaz (@turgutmyilmaz)
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BRIC-NABI@NABI_India25 Nov 2022
Singh D, and Roy J. (2022) A large-scale benchmark study of tools for the classification of protein-coding and non-coding RNAs. Nucleic Acids Research. doi.org/10.1093/nar/gkac1092.
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BRIC-NABI@NABI_India25 Nov 2022
RNAChallenge: A dataset derived from large-scale benchmark study of tools for protein-coding and non-coding RNA classification. This validation dataset provides an opportunity to build better AI models for RNA coding potential prediction. academic.oup.com/nar/advance…
A large-scale benchmark study of tools for the classification of protein-coding and non-coding RNAs

A large-scale benchmark study of tools for the classification of protein-coding and non-coding RNAs

Abstract. Identification of protein-coding and non-coding transcripts is paramount for understanding their biological roles. Computational approaches have

academic.oup.com
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