About Us

About IBDC

The ‘Indian Biological Data Centre (IBDC)’ is the first national repository for life science data in India. IBDC is mandated to archive all life science data generated from publicly funded research in India. The data center is supported by the Government of India (GOI) through the Department of Biotechnology (DBT). It is being established at the Regional Centre of Biotechnology (RCB), Faridabad in the national capital region in collaboration with the National Informatics Centre (NIC), India. In times to come, IBDC is envisaged to emerge as a major data repository for all life science data emerging from India.
Due to the heterogeneity of life science data, IBDC is being developed in a modular nature wherein different sections would typically deal with particular type/s of life science data. Each IBDC section would have dedicated data submission and access schema. Further, besides archiving life science data, IBDC shall also develop highly curated data sets in order to facilitate knowledge discovery in various domains of life sciences. It would also provide infrastructure and expertise for biological data analysis.

Fundamentally, IBDC is committed to the spirit of data sharing as per FAIR principles. While IBDC would act as the major repository for life science data emerging from India, it will constantly strive to serve the requirements of the global scientific community.


1. Provide IT platform for perpetually archiving biological data in the country.
2. Development of standard operating Procedures (SOPs) for storing and sharing the data as per FAIR (Findable, Accessible, Interoperable and Reusable) principle
3. Perform quality control, curation/annotation of data, data backup and management of data life cycle.
4. Development of web based tools/APIs for data sharing/retrieval.
4. Organization of training programs on ‘Big’ data analysis and benefits of data sharing.

Sections of IBDC

Life science data is highly complex and heterogeneous. Consequently, IBDC is being developed in a modular fashion wherein different sections would handle different types of data sets. Currently, Five sections have been developed.

These include:

Data Access

IBDC would have majorly two data access types:
Open access/time-release access: Data submitted at IBDC would be freely accessible across the globe as per international open-access standards. The submitter, however, may choose to restrict the data access for a defined period of time.
Managed/controlled access: The data would not be made accessible freely. It can only be accessed through prior permission through IBDC from the original data submitter.

In general, the data submitter would have the choice to opt for a particular access mode at the time of submission.


IBDC actively pursues several modes of collaborations as detailed below:

IBDC collaboration level 1 (ICL1)

IBDC would share data with any other repository as per a MOU.

IBDC collaboration level 2 (ICL2) 

  • IBDC would accept data from another entity (repository/institute/research consortium).
  • The data QC would be performed by the collaborating entity based on mutually (IBDC and entity) accepted data standards. 

IBDC collaboration level 3 (ICL3)

 IBDC would accept data from another entity (repository/institute/research consortium) but all data QC would be performed by IBDC.

IBDC collaboration level 4 (ICL4)

  • IBDC would collaborate with another entity having domain-specific expertise with a view to develop and maintain a highly curated domain specific knowledgebase. 
  • IBDC shall provide the basic data, technical expertise and infrastructure support to develop and maintain curated data sets.
  • The collaborating entity would be responsible for generating and maintaining curated datasets.  


List of Publications Citing IBDC / IBDC accessions


  • Paritosh K, Rajarammohan S, Yadava SK, Sharma S, Verma R, Mathur S, Mukhopadhyay A, Gupta V, Pradhan AK, Kaur J, Pental D. A chromosome-scale assembly of Brassica carinata (BBCC) accession HC20 containing resistance to multiple pathogens and an early generation assessment of introgressions into B. juncea (AABB). Plant J. 2024 May 9. doi: 10.1111/tpj.16794. PMID: 38722594.
  • Ruperao P, Bajaj P, Yadav R, Angamuthu M, Subramani R, Rai V, Tiwari K, Rathore A, Singh K, Singh GP, Angadi UB, Mayes S, Rangan P. Double-digest restriction-associated DNA sequencing-based genotyping and its applications in sesame germplasm management. Plant Genome. 2024 Apr 17:e20447. doi: 10.1002/tpg2.20447. Epub ahead of print. PMID: 38628142.
  • Khairnar K, Tomar SS. COVID-19 genome surveillance: A geographical landscape and mutational mapping of SARS-CoV-2 variants in central India over two years. Virus Res. 2024 Jun;344:199365. doi: 10.1016/j.virusres.2024.199365. Epub 2024 Mar 29. PMID: 38527669; PMCID: PMC10998191.
  • Karyakarte RP, Das R, Rajmane MV, Dudhate S, Agarasen J, Pillai P, Chandankhede PM, Labhshetwar RS, Gadiyal Y, Kulkarni PP, Nizarudeen S, Yanamandra S, Taji N, Joshi S, Potdar V. Appearance and Prevalence of JN.1 SARS-CoV-2 Variant in India and Its Clinical Profile in the State of Maharashtra. Cureus. 2024 Mar 22;16(3):e56718. doi: 10.7759/cureus.56718. PMID: 38646375; PMCID: PMC11032724.
  • Tyagi S, Sadhu S, Sharma T, Paul A, Pandey M, Nain VK, Rathore DK, Chatterjee S, Awasthi A, Pandey AK. VapC12 ribonuclease toxin modulates host immune response during Mycobacterium tuberculosis infection. Front Immunol. 2024 Mar 7;15:1302163. doi: 10.3389/fimmu.2024.1302163. PMID: 38515752; PMCID: PMC10955575.
  • Singh MS, Pyati A, Rubi RD, Subramanian R, Muley VY, Ansari MA, Yellaboina S. Systems-wide view of host-pathogen interactions across COVID-19 severities using integrated omics analysis. iScience. 2024 Feb 2;27(3):109087. doi: 10.1016/j.isci.2024.109087. PMID: 38384846; PMCID: PMC10879696.
  • Garg KM, Dovih P, Chattopadhyay B. Hybrid de novo genome assembly of the sexually dimorphic Lady Amherst’s pheasant. DNA Res. 2024 Feb 1;31(1):dsae001. doi: 10.1093/dnares/dsae001. PMID: 38168719; PMCID: PMC10799330.
  • Sharma P, Mahongnao S, Ahamad A, Gupta R, Goel A, Kumar N, Nanda S. 16S rRNA metagenomic profiling of red amaranth grown organically with different composts and soils. Appl Microbiol Biotechnol. 2024 Dec;108(1):129. doi: 10.1007/s00253-023-12982-7. Epub 2024 Jan 15. PMID: 38229333; PMCID: PMC10789846.


  • Cecilia H Deng, Sushma Naithani, Sunita Kumari, Irene Cobo-Simón, Elsa H Quezada-Rodríguez, Maria Skrabisova, Nick Gladman, Melanie J Correll, Akeem Babatunde Sikiru, Olusola O Afuwape, Annarita Marrano, Ines Rebollo, Wentao Zhang, Sook Jung, On behalf of the Genotype-Phenotype Working Group, AgBioData, Genotype and phenotype data standardization, utilization and integration in the big data era for agricultural sciences, Database, Volume 2023, 2023, baad088, https://doi.org/10.1093/database/baad088
  • Oyeyemi BF, Kaur US, Paramraj A, Chintamani, Tandon R, Kumar A, Bhavesh NS. Microbiome analysis of saliva from oral squamous cell carcinoma (OSCC) patients and tobacco abusers with potential biomarkers for oral cancer screening. Heliyon. 2023 Nov 8;9(11):e21773. doi: 10.1016/j.heliyon.2023.e21773. PMID: 38034672; PMCID: PMC10685184.
  • Mehrotra T, Konar D, Pragasam AK, Kumar S, Jana P, Babele P, Paul D, Purohit A, Tanwar S, Bakshi S, Das S, Verma J, Talukdar D, Narendrakumar L, Kothidar A, Karmakar SP, Chaudhuri S, Pal S, Jain K, Srikanth CV, Sankar MJ, Atmakuri K, Agarwal R, Gaind R, Ballal M, Kammili N, Bhadra RK, Ramamurthy T, Nair GB, Das B. Antimicrobial resistance heterogeneity among multidrug-resistant Gram-negative pathogens: Phenotypic, genotypic, and proteomic analysis. Proc Natl Acad Sci U S A. 2023 Aug 15;120(33):e2305465120. doi: 10.1073/pnas.2305465120. Epub 2023 Aug 7. PMID: 37549252; PMCID: PMC10434301.
  • Singh S, Madhukar M, Dikhit MR, Ravidas VN, Pandey K, Sen A. Transcriptome Analysis of Dermal Fibroblasts Derived From Visceral Leishmaniasis and Post-Kala-Azar Dermal Leishmaniasis Patients Reveal Disease-Specific Gene Expression and Pathological Regulation. J Infect Dis. 2023 May 12;227(10):1132-1142. doi: 10.1093/infdis/jiad049. PMID: 36821723.
  • Mohapatra S, Ghosh D, Vivekanandan P, Chunchanur S, Venugopal S, Tak V, Panigrahy R, Chaudhuri S, Pundir S, Sharma T, Kocher D, Singh H, Gautam H, Sood S, Das BK, Kapil A, Kumar A, Kumari R, Kalaivani M, Rangaiah A, Salve HR, Malhotra S, Kant S, Hari P; Investigators of CAUTION-ED STUDY (Community-acquired UTI & Emerging Drug Resistance). Genome profiling of uropathogenic E. coli from strictly defined community-acquired UTI in paediatric patients: a multicentric study. Antimicrob Resist Infect Control. 2023 Apr 18;12(1):36. doi: 10.1186/s13756-023-01233-z. PMID: 37072773; PMCID: PMC10114455.


  • Upadhyay P, Gupta M, Sra SK, Sharda R, Sharma S, Sardana VK, Akhatar J, Kaur G. Genome wide association studies for acid phosphatase activity at varying phosphorous levels in Brassica juncea L. Front Plant Sci. 2022 Dec 20;13:1056028. doi: 10.3389/fpls.2022.1056028. PMID: 36605963; PMCID: PMC9808407.
  • Gour P, Kansal S, Agarwal P, Mishra BS, Sharma D, Mathur S, Raghuvanshi S. Variety-specific transcript accumulation during reproductive stage in drought-stressed rice. Physiol Plant. 2022 Jan;174(1):e13585. doi: 10.1111/ppl.13585. Epub 2021 Oct 27. PMID: 34652858.


  • Kansal S, Panwar V, Mutum RD, Raghuvanshi S. Investigations on Regulation of MicroRNAs in Rice Reveal [Ca2+]cyt Signal Transduction Regulated MicroRNAs. Front Plant Sci. 2021 Oct 18;12:720009. doi: 10.3389/fpls.2021.720009. PMID: 34733300; PMCID: PMC8558223.