Tapobrata Lahiri

About Tapobrata Lahiri

Tapobrata Lahiri, With an exceptional h-index of 8 and a recent h-index of 4 (since 2020), a distinguished researcher at Indian Institute of Information Technology Allahabad, specializes in the field of Artificial Intelligence, Digital Image and Signal Processing, Optimization, Simulation, Fractal analysis and its major applicati.

His recent articles reflect a diverse array of research interests and contributions to the field:

TemPred: A novel protein template search engine to improve protein structure prediction

IDPpred: a new sequence-based predictor for identification of intrinsically disordered protein with enhanced accuracy

A divide and conquer approach (DACA) to predict high fidelity structure of large multidomain protein BRWD1

Application of sequence semantic and integrated cellular geography approach to study alternative biogenesis of exonic circular RNA

Digital signal processing-based approach to identify splicing mutations for detecting genetic diseases

Application Of Hmm-Viterbi Model For Identification Of Epitopic Signature Within Screened Protein-Antigens Of Hepatitis C Virus

ProtPCV: A fixed dimensional numerical representation of protein sequence to significantly reduce sequence search time

Tapobrata Lahiri Information

University

Position

Professor

Citations(all)

243

Citations(since 2020)

110

Cited By

173

hIndex(all)

8

hIndex(since 2020)

4

i10Index(all)

5

i10Index(since 2020)

3

Email

University Profile Page

Indian Institute of Information Technology Allahabad

Google Scholar

View Google Scholar Profile

Tapobrata Lahiri Skills & Research Interests

Artificial Intelligence

Digital Image and Signal Processing

Optimization

Simulation

Fractal analysis and its major applicati

Top articles of Tapobrata Lahiri

Title

Journal

Author(s)

Publication Date

TemPred: A novel protein template search engine to improve protein structure prediction

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Asmita Tripathi

Rajkrishna Mondal

Tapobrata Lahiri

Deepak Chaurasiya

Manoj Kumar Pal

2023/1/3

IDPpred: a new sequence-based predictor for identification of intrinsically disordered protein with enhanced accuracy

Journal of Biomolecular Structure and Dynamics

Deepak Chaurasiya

Rajkrishna Mondal

Tapobrata Lahiri

Asmita Tripathi

Tejas Ghinmine

2023/12/5

A divide and conquer approach (DACA) to predict high fidelity structure of large multidomain protein BRWD1

bioRxiv

Rajkrishna Mondal

Malay Mandal

Tapobrata Lahiri

2023

Application of sequence semantic and integrated cellular geography approach to study alternative biogenesis of exonic circular RNA

BMC bioinformatics

Rajnish Kumar

Rajkrishna Mondal

Tapobrata Lahiri

Manoj Kumar Pal

2023/4/17

Digital signal processing-based approach to identify splicing mutations for detecting genetic diseases

Журнал радиоэлектроники

P Kumar Varadwaj

N Purohit

T Lahiri

V Antisiperov

2021

Application Of Hmm-Viterbi Model For Identification Of Epitopic Signature Within Screened Protein-Antigens Of Hepatitis C Virus

European Journal of Molecular & Clinical Medicine

Amit Joshi

Nillohit Mitra Ray

Rahul Badhwar

Tapobrata Lahiri

Vikas Kaushik

2020/12/25

ProtPCV: A fixed dimensional numerical representation of protein sequence to significantly reduce sequence search time

Interdisciplinary Sciences: Computational Life Sciences

Manoj Kumar Pal

Tapobrata Lahiri

Rajnish Kumar

2020/9

See List of Professors in Tapobrata Lahiri University(Indian Institute of Information Technology Allahabad)