S. B. Lal
S. B. Lal
Principal Scientist
sb.lal@icar.gov.in, sblall16@gmail.com
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Citations and H index


Research Interest

  • Software Development
  • Bioinformatics
  • Parallel Programming
  • Neural Network and Biological Databases

Teaching

  • Compiler Construction, Data Structues
  • Computer Organization and Architecture
  • Object Oriented Programming
  • Fundamentals of Computer Programming
  • Introduction to Computer and PC use

Important Projects

  • A study on editing and imputation using neural networks

  • Software for Survey Data Analysis

  • Computational Analysis of SNPs at Functional Elements of Rice Genome

  • Development of gender information system for Agriculture
  • Software for Survey Data Analysis 2.0
  • National Information System Agricultural Education Network in India (NISAGENET)

  • Establishment of National Agricultural Bioinformatics Grid in ICAR

  • Evaluation of Rationalization of Minor Irrigation Statistics Scheme

  • Bioinformatics analysis of sequence data of brinjal and bitter gourd for identification of functional and regulatory genes for traits of economic importance.

  • Modeling Network of Gene Responses to Abiotic Stress in Rice.

  • Web Based Software for Codon Usage Analysis for Gene Expression Identification

  • Parallelized Workflows for Gene Prediction, Hylogenetic Analysis and Primer Designing

  • Methodology for Protein Structure Comparison and its Web Implemantation

  • Platform or Integrated Genomics Warehouse

  • Phenomics of Moisture Deficit Stress Tolerance and Nitrogen Use Efficiency in Rice and Wheat – Phase II.

  • Integrated sample survey solution for major livestock products.

  • Non Linear Modelling For Genomic Predictions Based on Multiple Traits

  • Machine Learning Approach for Binning of Metagenomics Data.


Trainings Organized

  • Centre of Advanced Faculty Training Recent Advances in Web Technologies for Information Management in Agriculture

  • Sensitization training on Bioinformatics Resources and Tools for Agricultural Research
  • Computational Genome Analysis using ANVAYA

Important Publications

  • Sonkusale, L., Chaturvedi, K.K., Sharma, A., Lama, A., Farooqi, M.S., Lal S.B., Joshi, P., Mishra, D.C., and Kumar, M.(2023). Evaluating Text Preprocessing Methods for Discovering Quality Topics to Improve the Information Retrieval Mechanism. Acta Scientific COMPUTER SCIENCES, 5(9), pp. 03-08. iconpdf

  • Ahlawat, S., Arora, R., Sharma, R., Chhabra, P., Kumar, A., Kaur, M., Lal S.B., Mishra, D.C.,Farooqi, M.S. and Srivastava, S. (2023). Revelation of genes associated with energy generating metabolic pathways in the fighter type Aseel chicken of India through skeletal muscle transcriptome sequencing. Animal Biotechnology iconpdf

  • Arora, R., Sharma, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Vijh, R.K., Lal S.B., Mishra, D.C., Farooqi, M.S., and Srivastava, S., (2023). Transcriptomics reveals key genes responsible for functional diversity in pectoralis major muscles of native black Kadaknath and broiler chicken. 3 Biotech, 13, 253. iconpdf

  • Sharma, R., Arora, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Lal S.B., Mishra, D. C., Farooqi, M. S., & Srivastava, S. (2023). Study on the muscle transcriptome of two diverse Indian backyard poultry breeds acclimatized to different agro-ecological conditions. Molecular biology reports, 10.1007/s11033-022-08223-1. Advance online publication. iconpdf

  • Sonkusale, L., Chaturvedi, K.K., Lal S.B., Farooqi, M. S., Sharma, A., Joshi, P., Lama, A. and Mishra, D.C. (2022). Exploring the Applicability of Topic Modeling in SARS-CoV-2 Literature and Impact on Agriculture. Indian Res. J. Ext. Edu. 22 (4). iconpdf

  • Priyadarshi, M. B., Sharma, A., Chaturvedi, K.K., Bhardwaj, R., Lal S.B., Farooqi, M.S., Kumar, S., Mishra, D.C., Singh, M. (2022). Machine Learning Algorithms for Protein Physicochemical Component Prediction Using Near Infrared Spectroscopy in Chickpea Germplasm. Indian J. Plant Genet. Resour. 35(1): 44–48. iconpdf

  • Sinha, D., Sharma, A., Mishra, D.C., Rai, A., Lal S.B., Kumar, S., Farooqi, Md.S., Chaturvedi K. K. (2022). MetaConClust - Unsupervised Binning of Metagenomics Data Using Consensus Clustering. Current Genomicsiconpdf

  • Kumar, V., Sharma, A., Lal S.B., Chaturvedi, K.K., Farooqi, Md. S., Mishra, D.C., Sonkusale, L. and Kumar, R. Comparative analysis of genome browser for visualization of genetic variants. The Pharma Innovation Journal. AP-11(3):384-388. iconpdf

  • Mishra, D.C., Arora, D., Budhlakoti, N., Solanke, A.U., Mithra, S., Kumar, A., Pandey, P.S., Srivastava, S., Kumar, S., Farooqi, M.S., Lal S.B., Rai, A., & Chaturvedi, K.K. (2022). Identification of Potential Cytokinin Responsive Key Genes in Rice Treated With Trans-Zeatin Through Systems Biology Approach. Frontiers in genetics, 12, 780599.iconpdf

  • Kumar, S., Bhati, J., Saha, A., Lal S.B., Pandey, P.K., Mishra, D.C., Farooqi, M.S., Kumar, A., Chaturvedi, K.K., Rai, A.(2022). CerealESTDb: A comprehensive resource for abiotic stress responsive annotated ESTs with predicted genes, gene ontology and metabolic pathways in major cereal crops. Frontiers in Genetics, section Plant Genomics. doi: iconpdf

  • Anu Sharma,Dwijesh Chandra Mishra, Neeraj Budhlakoti, Anil Rai, Lal S.B., and Sanjeev Kumar (2020). Algorithmic and computational comparison of metagenome assemblers. Indian Journal of Agricultural Sciences. 90 (5): 847–54.

  • Farooqi Mohammad Samir, Mishra DC, Chaturvedi KK, Rai Anil, Lal S.B., Kumar Sanjeev, Bhati Jyotika and Sharma Anu. (2019) A Review on Recent Statistical Models for RNA-Seq. Journal of Applied Bioinformatics & Computational Biology. 8:1 DOI: 10.4172/2329-9533.1000162.iconpdf

  • Budhlakoti Neeraj, Mishra Dwijesh Chandra, Rai Anil, Lal S.B., Chaturvedi Krishna Kumar, Kumar Rajeev Ranjan (2019). A Comparative Study of Single Trait and Multi-Trait Genomic Selection. Journal of Computational Biology. Vol 26, pg 1-13.iconpdf

  • Singh Indra , Deb Rajib , Kumar Sanjeev , Singh Rani, Andonissamy Jerome, Smita Shuchi , Singh Gyanendra Sengar, Kumar Rajiv, Ojha Krishna Kumar, Sahoo Nihar Ranjan, S Murali , Chandran Rejani, V Radhakrishnan Nair, Lal SB, Mishra Dwijesh Chandra & Rai Anil (2019). Deciphering Foot-and-Mouth Disease (FMD) virus-host Tropism. Journal of Biomolecular Structure and Dynamics. Deciphering Foot-and-Mouth Disease (FMD) virus-host Tropism. Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2019.1567386. iconpdf

  • Mishra Dwijesh Chandra *, Kumar Sanjeev, Lal SB, Saha Arijit,Chaturvedi KK,Budhlakoti Neeraj and Rai Anil (2018). TAGPT: A Web Server for Prediction of Trait Associated Genes using Gene Expression Data. Annals of Genetics and Genetic Disorders. 1(1): 1003.

  • अनु शर्मा, ज्योतिका भाटी, शशि भूषण लाल, कृष्ण कुमार चतुर्वेदी, मोहम्मद समीर फ़ारूकी और अनिल राय (2018). संगणनात्मक विधियों के द्वारा अरहर में माइक्रो-आर.एन.ए. की पहचान एवं उसका विवरण, भारतीय कृषि अनुसंधान पत्रिका, 33(1), 51-57.

  • Islam, S., Chandra, H., Aditya, K. and Lal, S.B. (2018). Small Area Estimation under a Spatial Model using Data from Two Surveys. Int. J. Agricult. Stat. Sci. Vol. 14, No. 1.

  • Kumar A, Farooqi MS, Mishra DC, Kumar S, Rai A, Chaturvedi KK, Lal SB, Sharma, A. (2018). Prediction of miRNA and Identification of their Relationship Network Related to Late Blight Disease of Potato. Microrna. 7(1):11-19. doi: 10.2174/2211536607666171213123038. PubMed PMID: 29237394.

  • S.B.Lal, , Sharma, A., Chaturvedi, K. K.,Farooqi, M. S., Kumar, S, Mishra, D. C. (2017). State-of-the-Art Information Retrieval Tools for Biological Resources. Web Semantics for Textual and Visual Information Retrieval, A volume in the Advances in Data Mining and Database Management (ADMDM) Book Series, IGI-Global, Pp. 203-226.

  • S.B. Lal,Rai, N, Mishra, DC, Kumar, S, Rai, A, Chaturvedi, KK, Kumar, A, Farooqi, MS, Majumdar, PG, and Archak, S. (2016). Genome analysis of Rhizobium species using codon usage bias tools International Conference on Bioinformatics and Systems Biology (BSB, 2016). IEEE Xplore digital library, Page(s):1 – 4.

  • S. B. Lal,Sharma Naveen, Farooqi Md. Samir, Chaturvedi Krishna Kumar, Grover Monendra, Rai Anil, and Pandey Pankaj (2014). The Halophile Protein Database, Database (Oxford). 2014; doi:10.1093/database/bau114.

  • S. B. Lal, Sharma, A., Chandra, H. and Rai, A. (2014). Web Based Sample Selection for Survey Data. J. of Ind. Soc. Of Agric. Stat., 68(1): 101-108. iconpdf

  • Basak, P, Chandra, H, Sud, UC and S. B. Lal (2013). Prediction of Population Total for Skewed Variable under a Log Transform Model. International Journal of Agricultural and Statistical Sciences, 9, S1, 143-154

  • S. B. Lal, Pandey, Pankaj, K, Rai, Punit K, Rai, Anil, Sharma, Anu and Chaturvedi, KK (2013). Designand development of portal for biological databasein agriculture. Bioinformation, 9(11): 588-598.

  • Anu Sharma, S. B. Lal, D. C. Mishra, Sudhir Srivastava and Anil Rai (2013). A web Based Software for Synonymous Codon Usage Indices. International Journal of Information and Computation Technology, 3(3): 147-152.

  • Anu Sharma, Anil Rai, S. B. Lal (2013). Workflow Management Systems for Gene Sequence Analysis and Evolutionary Studies – A Review. Bioinformation, 9(13): 663-672. iconpdf

  • Anu Sharma, Amrender Kumar, S. B. Lal, Alka Arora (2013).Web Based Software for Back Propagation Neural Networks with Weight Decay Algorithm Proc. 7th National Conference, INDIACom-2013, Computing For Nation Development, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, 241-246.

  • S. B. Lal Anu Sharma (2013).Web Based Sample Selection for Survey Data. Proc. 7th National Conference, INDIACom-2013, Computing For Nation Development, Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi, 251-254.

  • S. B. Lal, Pankaj Kumar Pandey, Punit K Rai, Anil Rai, Anu Sharma, Krishna Kumar Chaturvedi (2013). Design and development of portal for biological database in agriculture. Bioinformation, 9(11): 588-598. iconpdf

  • Shiv Kant Kumar, IB Lal, S. B. Lal (2012). Fixed–charge Bi-criterion Transportation Problem. International Journal of Computer Application, Vol. 1. iconpdf

  • Nishikant Taksande, Anu Sharma, Cini Varghese, Seema Jaggi, S. B. Lal (2012). Web-enabled software for Generation and Analysis of Partial Diallel Crosses Journal of the Indian Society of Agricultural Statistics, 66(2), 343-350.

  • S. B. Lal and Anu Sharma (2012). SSDA–A Windows Based Software for Survey Data Analysis. International Journal of Physical and Social Sciences, 2(4), 381-389 iconpdf

  • S. B. Lal and Anu Sharma (2012). SSDA. Analysis - A Class Library for Analysis of Sample Survey Data. International Journal of Modern Engineering Research, 2(1): 242-246. iconpdf

  • Rai Anil, Bhati Jyotika and S. B. Lal(2011). Analytical tools and resources in Bioinformatics: Applied Computational Biology and Statistics in Biotechnology and Bioinformatics. Eds. Ajit Kumar Roy, New India Publishing Agency, New Delhi.

  • G. K. Jha, Ramasubramanian V., Ranjana Agrawal, S. B. Lal (2007). Evaluation of Neural Network Applications for Data Editing. Proc. 3rd Indian International Conference on Artificial Intelligence (IICAI-07), pp. 1572-1581.

  • S. B. Lal, V. Ramasubramanian, Ranjana Agrawal, S. M. Raza, G.K. Jha (2007). A Software for Imputing Missing Values using Neural Networks. Proc. 3rd Indian International Conference on Artificial Intelligence (IICAI-07), pp. 1595-1604.

  • S. B. Lal, Karan Singh, S Ganesan (2001). CIAE information package: A web based software. Agricultural Engineering Today, 25(5&6), 12-24.




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