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Centre for Bioinformatics
The Center of Bioinformatics (Sub DIC) set up with support from DBT in 1998 has created a major impact and popularized Bioinformatics especially among women. The centre continues to excel in its academic pursuits in both training and research and it caters to nearly all areas in bioinformatics with a multifaceted and interdisciplinary approach in teaching, research and learning.
The core objectives of the Bioinformatics Centre at Banasthali Vidyapith are as follows:
i. Information Dissemination in Biotechnology
ii. Bioinformatics Research and Development & Human Resource Development.
The Bioinformatics Centre at Banasthali envisions itself as ‘National Centre for Bioinformatics' nurturing women to become world class teachers, researchers and scientists with a long term goal to:
- train and create dedicated manpower in emerging areas of bioinformatics.
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- provide state of the art Bioinformatics Research and Development facilities to the students, faculty members and collaborators.
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- provide cost effective solutions to the existing societal issues in the areas of education and healthcare through bioinformatics tools and techniques.
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- enable and facilitate academia-academia and also industry-academia partnership in research through collaborative and sponsored projects.
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- emerge as a leading hub of activities in Bioinformatics sphere.
The Centre is providing computational services to the UG, PG students in Biotechnology, Bioscience and Bioinformatics, Ph.D. scholars and the teaching faculty as follows:
- Literature and databases search
- Computational analysis
- Application of available software in the centre
- regular short/ long term training programmes
Infrastructure:
The Bioinformatics Centre is housed in the Department of Bioscience and Biotechnology, Banasthali Vidyapith and has developed good computational infrastructure including three computer labs, two with a capacity of 50 computers each and one with a capacity of 80 computers, a server room and has round the clock Internet connectivity. There is addition dedicated sitting arrangement for Centre staff. All the laboratories and server room are fully furnished, air conditioned with adequate backup power supply.
The Centre has acquired many databases and software's The Centre has sufficient number of desktop computers, workstations, laptop, projection facility, and several software and databases.
Manpower:
S. No. |
Position |
Highest relevant Educational qualification/Specialization |
Job Profile |
1. |
Prof. Dipjyoti Chakraborty |
Ph. D./ Plant Stress Biology, Medicinal plant Biotechnology Proteomics |
Centre Coordinator |
Centre Staff |
|||
2. |
Dr. S.R.Choudhary |
PhD (Computer Science), M. Sc. Bioinformatics, MCA |
Computer Operator |
3. |
Mr. Deepak Sharma |
M. Sc. Information Technology |
Computer Operator |
4. |
Mr. Amit Goyal |
M. Sc. Computer Science, MCSE, CCNA, PGDCA, O Level |
Data Entry Operator |
5. |
Ms. Anukriti Saran |
M. Sc. Bioinformatics |
Information Officer |
6. |
Mrs. Kiran Shanti |
M. Sc. Botany, PG Diploma in PPIM |
Technical Assistant |
Collaborating Departments at Banasthali Vidyapith:
- Automation
-
- Bioscience and Biotechnology
-
- Computer Science
-
- Mathematics and Statistics
-
- Pharmacy
-
- Atal Incubation Centre
Workshops/Trainings:
Since its inception, several workshops and training programs have been organized by the Centre and over 900 participants from various institutions all over the country have been trained including faculty members, research scholars and PG students. In addition to general bioinformatics and introduction to information technology in biology, in recent years, the training programmes are more specific to the core areas of bioinformatics such as sequence and genome analyses, protein modeling and dynamics and computational drug design and discovery.
The titles of representative workshops highlighting the diverse topics covered at the Centre are as follows:
Date (from-to) |
Title |
24-26 march 2001 |
Application of Internet in Advanced Teaching and Research in Biological Sciences |
16-17 Feb 2002 |
Application of Information Technology in Biotechnology based research |
16-17 Jan 2004 |
Trends in Bioinformatics |
19-20 Feb 2005 |
Bioinformatics Basics- Application in Biological Sciences |
22-24 Dec 2007 |
Biological Databases and Data Mining |
18-20 Dec 2010 |
Biological Databases and Data Mining Approaches |
17-19 Feb 2012 |
Applications of Bioinformatics with special focus on Genomics |
8-10 March 2014 |
In silico genome and proteome analysis |
2-4 March 2017 |
Protein Structure Prediction and Function Analysis |
11-13 March 2019 |
Biomolecular Recognition and Dynamics |
Certificate/ Diploma courses:
- Computer Aided Drug Design and Molecular Modeling
- Computational Biology
Major Research Activities in Bioinformatics [Last 5 Years (2015-19)]
The centre has trained 18 masters' level students in terms of studentship/traineeship some of whom have gone ahead to do further research and some have joined the academia and Industry.
A total of 98 masters and 9 Ph.D. degrees have been awarded in bioinformatics, with 83 research papers in core areas of bioinformatics utilizing the Center resources.
The research is primarily focused in the following areas:
- Structural Bioinformatics:
- To study the active pockets of binding of protein and behavior of binding to their partners
- String search for literature based protein - protein interaction networking (PPIN) and docking study.
- Thermo-stability and protein mutagenesis hot-spot prediction.
- Biodiversity Informatics:
- Database of the digitalized collection of resources for plant species identification
- Database of Invasive alien species of Indian Desert
- Database of plant species with known evidence of habitat fragmentation
- Database of endangered plant and species of India desert over period of last 20 years.
- Database of new plants species being discovered over the period of last 20 years from Rajasthan.
- Metagenomics/High Throughput Genomics
- Elucidation of the functional role of genetic variants in bacteria causing drug resistance
- Identification of the presence of novel drug targets or any adapted pathways in drug resistance mechanisms
- Exploration of sequence-structure-function relationships of drug resistance associated genes
- Development of altered antibiotic treatment methods that can overcome the existing resistance mechanism
To cater to the regional and national needs, the Centre has developed the following databases:
- Biotechnical Industries of Rajasthan
- SSR Database of Citrus sinensis
- Database of Diterpene Synthase Gene
- SSR Database of Takifugu rubripes
- Database of Flora of Indian Desert
- Database of Plant - Pathogen Interaction
- MitoSatPlant: http://compubio.in/mitosatplant/
- ChloroSSRdb: http://compubio.in/chlorossrdb/
- CyanoSat: http://compubio.in/cyanosat/Home.aspx
Biotechnical Industries of Rajasthan |
SSR Database of Citrus sinensis |
SSR Database of Takifugu rubripes |
Database of Flora of Indian Desert |
List of Publications:
Bioinformatics research papers published in peer reviewed journal by our centre:
S. No. |
Authors |
Title |
Journal |
Volume |
Pages |
2019 |
|||||
1. |
Singh, V., Katara, P. and Sharma, V. |
Bioinformatics Resources and Approaches for The Interaction of Oryza sativa and Magnaporthe oryzae Pathosystem. |
International Journal of Bioinformatics Research and Applications |
15(2)
|
91-107 |
2. |
Ahmed, S.A., Joshi, N., Mathur, I. and Katyan, P. |
Impact of Related Languages as Pivot Language on Machine Translation |
International Journal of Recent Technology and Engineering |
7 |
1539-1546 |
3. |
Singh, A. and Joshi, N. |
Part of Speech Tagging of Hindi using Markov Model |
International Journal of Innovative Technology and Exploring Engineering |
8(6) |
1723-1726 |
4. |
Seal, S. and Joshi, N. |
Design of an Inflectional Rule-Based Assamese Stemmer |
International Journal of Innovative Technology and Exploring Engineering (IJITEE) |
8(6) |
1651-1655 |
5. |
Katyayan, P. and Joshi, N. |
Sarcasm Detection Approaches for English Language |
Studies in Fuzziness and Soft Computing |
374 |
167-183 |
6. |
Sharma, P. and Joshi, N. |
Design and Development of a Knowledge-Based Approach for Word Sense Disambiguation by using WordNet for Hindi |
International Journal of Innovative Technology and Exploring Engineering |
8(3) |
73-78 |
7. |
Gupta, C., Jain, A. and Joshi, N. |
DE-ForABSA: A Novel Approach to Forecast Automobiles Sales Using Aspect Based Sentiment Analysis and Differential Evolution |
International Journal of Information Retrieval Research |
9(1) |
33-49 |
8. |
VenuShree, Mathur, I., Yadav, G. and Joshi, N. |
Digital Humanities: Can Machine Translation Replace Human Translation |
International Journal of Recent Technology and Engineering (IJRTE) |
7(6) |
128-134 |
9. |
Mukund, V., Behera, S.K., Alam, A. and Nagaraju, G.P. |
Molecular docking analysis of nuclear factor-?B and genistein interaction in the context of breast cancer |
Bioinformation |
15(1) |
11-17 |
10. |
Mukund, V., Saddala, M.S., Farran, B., Mannavarapu, M., Alam, A. and Nagaraju, G. P. |
Molecular docking studies of angiogenesis target protein HIF-1? and genistein in breast cancer |
Gene |
701 |
169-172 |
11. |
Sharma, P. and Joshi, N. |
Knowledge-Based Method for Word Sense Disambiguation by Using Hindi WordNet |
Engineering, Technology & Applied Science Research |
9(2) |
3985-3989 |
12. |
Singh, A., Juneja, D., Singh, R., and Mukherjee S. |
A clustered neighbourhood consensus algorithm for a generic agent interaction protocol |
International Journal of Advanced Intelligence Paradigms |
12 (3/4) |
305 - 316 |
2018 |
|||||
13. |
Singh, A, Kaushik, R, Kuntal H and Jayaram, B. |
PvaxDB: a comprehensive structural repository of Plasmodium vivax proteome Database: |
The Journal of Biological Databases and Curation. |
bay021 |
NA |
14. |
Tripathi, N., Paliwal, S., Sharma, S., Verma, K., Gururani, R., Tiwari, A., Verma, A., Chauhan, M., Singh, A., Kumar, D., Pant, A. |
Discovery of Novel Soluble Epoxide Hydrolase Inhibitors as Potent Vasodilators |
Scientific Reports |
8 |
14604 (11 pages) |
15. |
Nagpal, A., Paliwal, S. |
Discovery of novel and selective c-jun nh2-terminal kinases 2 inhibitors by two-dimensional quantitative structure-activity relationship model development, molecular docking and absorption, distribution, metabolism, elimination prediction studies: An in silico approach |
Asian Journal of Pharmaceutical and Clinical Research |
11 |
pages 9 |
16. |
Tripathi, A.C., Upadhyay, S., Paliwal, S., Saraf, S.K. |
Derivatives of 4,5-dihydro (1H) pyrazoles as possible MAO-A inhibitors in depression and anxiety disorders: synthesis, biological evaluation and molecular modeling studies |
Medicinal Chemistry Research |
27 |
1485-1503 |
17. |
Mishra, P., Kesar, S., Paliwal, S.K., Chauhan, M., Madan, K. |
In-Silico Screening of Ligand Based Pharmacophore, Database Mining and Molecular Docking on 2, 5-Diaminopyrimidines Azapurines as Potential Inhibitors of Glycogen Synthase Kinase-3? |
Central Nervous System Agents in Medicinal Chemistry |
18 (2) |
150-158 |
18. |
Chauhan, M., Paliwal, S.K., Kesar, S., Neetika, Nagpal, A. |
Applications of chemometric methods to elucidate physicochemical requirements for binding of PTP1B inhibitors to its target |
Journal of Reports in Pharmaceutical Sciences |
7 (2) |
138-155 |
19. |
Dewangan, D., Nakhate, K., Mishra, A., Thakur, A.S., Rajak, H., Dwivedi, J., Sharma, S., Paliwal, S |
Design, Synthesis, and Characterization of Quinoxaline Derivatives as a Potent Antimicrobial Agent |
Journal of Heterocyclic Chemistry |
56 (2) |
566-578 |
20. |
Kapil, A., Jha, C.K. and Shanker, A., |
Data Mining to Detect Common, Unique,and Polymorphic Simple Sequence Repeats |
Bioinformatics: Sequences, Structures, Phylogeny |
NA |
141-154 |
21. |
Gupta, C., Jain, A. and Joshi, N. |
A Novel Approach to Feature Hierarchy in Aspect Based Sentiment Analysis Using OWA Operator |
Computing and Networking |
46 |
661-667 |
22. |
Sharma, O., Kumar, S. and Joshi, N. |
SRPF Interest Measure Based Classification to Extract Important Patterns |
Lecture Notes in Networks and Systems |
46 |
523-530 |
23. |
Goyal, H., Joshi, N. and Sharma, C. |
An Empirical Analysis of Geospatial Classification for Agriculture Monitoring |
Procedia Computer Science |
132 |
1102-1112 |
24. |
Chopra, D., Joshi, N. and Mathur, I. |
A Review on Machine Translation in Indian Languages |
Engineering, Technology & Applied Science Research |
8(5) |
3475-3478 |
25. |
Kumar C., Singh, A.K., Kumar, P., Singh, R., Singh, S. |
SPIHT-based multiple image watermarking in NSCT domain |
Concurrency Computat Pract Exper. |
NA |
e4912 (9 pages) |
26. |
Nigam, S., Singh, R., Misra, A.K. |
A Review of Computational Approaches for Human Behavior Detection |
Archives of Computational Methods in Engineering |
in Press |
in Press |
27. |
Nigam, S., Singh, R., Misra, A.K. |
Efficient facial expression recognition using histogram of oriented gradients in wavelet domain |
Multimed Tools and Applications |
77 |
28725-28747 |
28. |
Gupta, C., Jain, A. and Joshi, N. |
Fuzzy Logic in Natural Language Processing- A Closer View |
Procedia Computer Science |
132 |
1375-1384 |
29. |
Ahmed, S.A., Mathur, I., Katyayan, P. and Joshi, N. |
Implications of English as a Pivot Language in Arabic-Hindi Machine Translation |
International Journal of Engineering and Advanced Technology (IJEAT) |
8(4) |
271-277 |
2017 |
|||||
30. |
Sharma V. and Singh S.P. |
In Silico Studies of Conformational Changes in wheat Heat Shock Proteins. |
MOJ Protemics & Bioinformatics. |
5(1) |
00149 |
31. |
Singh S. P. and Gupta D. |
Discovery of potential inhibitor against human acetylcholinesterase: a molecular docking and molecular dynamics investigation. |
Computational Biology and Chemistry. |
68 |
224-230. |
2016 |
|||||
32. |
Singh, P.K., Singh, A., Pawar, D.V., Devanna, B. N., Singh, J., Sharma, V. and Sharma, T.R. |
A web-based microsatellite database for the Magnaporthe oryzae genome. |
Bioinformation. |
12 |
388-390. |
33. |
Singh, R., Tiwari, J.K., Rawat, S., Sharma, V. and Singh, B.P. |
Monitoring gene expression pattern in somatic hybrid of Solanum tuberosum and S. pinnatisectum for late blight resistance using microarray analysis. |
Plant Omics Journal. |
9(1) |
99-105. |
34. |
Singh, S., Rawat, S., Sharma, V., Tiwari, J. K., Singh, B.P. |
Homology modelling and Structural analysis of flowering locus T protein from Solanum tuberosum. |
International Journal of Computational Bioinformatics and In Silico Modeling. |
5 |
799-807. |
35. |
Singh,V., Sharma, V. and Katara, P. |
Comparative transcriptomics of rice and exploitation of target genes for blast infection. |
AgriGene. |
8 |
143-150 |
36. |
Singh, P., Banik, R.M. and Shah, P. |
Amino acid sequence determination, in silico tertiary structure prediction and anticancer activity assessment of L-glutaminase from Bacillus cereus. |
Network Modeling Analysis in Health Informatics and Bioinformatics. |
5(1) |
1-9. |
37. |
Singh, V., Alam, A., Katara, P. and Sharma, V. |
Co-Regulatory Genes of CEBiP: A Stress Responsive Gene for Rice Blast Infection. |
MOJ Proteomics & Bioinformatics. |
4 (3). |
123-128. |
38. |
Singh, S.P., Gupta, D.K. |
Dynamic Conformational Ensembles Regulate Casein Kinase - 1 Isoforms: Insights from Molecular Dynamics and Molecular Docking Studies. |
Computational Biology and Chemistry. |
61 |
39-46. |
39. |
Srivastava, D., Shanker, A. |
Identification of simple sequence repeats in Chloroplast genomes of Magnoliids through bioinformatics approach. |
Interdisciplinary Sciences: Computational Life Sciences. |
8(4) |
327-336 |
40. |
Kabra, R., Kapil, A., Attarwala, K., Rai, P.K., Shanker, A. |
Identification of common, unique and polymorphic microsatellites among 73 cyanobacterial genomes. |
World Journal of Microbiology and Biotechnology. |
32(4) |
71 |
2015 |
|||||
41. |
Goyal S, Jamal S, Shanker A, Grover A |
Structural investigations of T854A mutation in EGFR and identification of novel inhibitors using structure activity relationships. |
BMC Genomics |
16(Suppl 5). |
S8 |
42. |
Srivastava D, Shanker A |
In silico mining of simple sequence repeats in chloroplast genome of Trifolium subterraneum. |
Researcher |
7 |
63-66 |
43. |
Jamal S, Goyal S, Shanker A, Grover A |
Checking the STEP-associated trafficking and internalization of glutamate receptors for reduced cognitive deficits: A machine learning approach-based cheminformatics study and its application for drug repurposing. |
PlosOne |
10(6) |
e0129370 |
44. |
Srivastava D, Shanker A |
Mining of simple sequence repeats in chloroplast genome sequence of Cocos nucifera. |
Applied Research Journal |
1 |
51-54. |
45. |
Katara P and Kuntal H. |
TPMT Polymorphism: When shield becomes weakness. |
Interdisciplinary Sciences, |
8(2) |
150-5. |
46. |
Shah, P., Tiwari, S., Siddiqi, M. I. |
Recent progress in the identification and development of antimalarial agents using virtual screening based approaches. |
Comb Chem High Throughput Screen, |
18 (3) |
257-68 |
47. |
Das, S., Shah, P., Tandon, R., Yadav, N.K., Sahasrabuddhe, A.A., Sundar, S., Siddiqi, M.I. and Dube, A., |
Over-Expression of Cysteine Leucine Rich Protein Is Related to SAG Resistance in Clinical Isolates of Leishmania donovani. |
PLoS Negl Trop Dis, |
9(8), |
p.e0003992. |
48. |
Shrivastava, N., Nag, J. K., Pandey, J., Tripathi, R. P. Shah, P. Siddiqi, M. I., Misra-Bhattacharya, S., |
Homology Modeling of NAD+-Dependent DNA Ligase of the Wolbachia Endosymbiont of Brugia malayi and Its Drug Target Potential Using Dispiro-Cycloalkanones. |
Antimicrob Agents Chemother, |
59 (7), |
3736-47. |
2014 |
|||||
49. |
Kumar M, Kapil A, Shanker A. |
MitoSatPlant: Mitochondrial microsatellites database of viridiplantae. |
Mitochondrion. |
19 (B) |
334-337 |
50. |
Sharma V. |
Potential Chemopreventation of 7, 12 dimethyl benz (a) anthracene induced renal carcinogenesis by Moring oleifera-pods and its isolated Saporin. |
IJCB. |
29(2) |
202-209 |
51. |
Wahi, D., Jamal, S., Goyal, S., Singh, A., Jain, R., Rana, P., and Grover, |
Chemoinformatics models based on machine learning approaches for design of USP1/ UAF1 abrogators as anticancer agents. |
Systen & Synth. |
9 |
33-43 |
52. |
Gupta, A., Shah, P., Haider, A., Gupta, K., Siddiqi, M. I., Ralph, S. A. and Habib, S. |
Reduced ribosomes of the apicoplast and mitochondrion of Plasmodium spp. and predicted interactions with antibiotics. |
Open biology, |
4(5) |
140045-140059 |
53. |
Shah, P., Tiwari, S. and Siddiqi, M. I. |
Integrating molecular docking, CoMFA analysis, and machine-learning classification with virtual screening toward identification of novel scaffolds as Plasmodium falciparum enoyl acyl carrier protein reductase inhibitor. |
Medicinal Chemistry Research, |
23 |
3308-3326 |
54. |
Singh, S., Tiwari, J. K., Sharma, V., Singh, B.P. and Rawat, S. |
Role of pathogenesis related protein families in defence mechanism with potential role in applied biotechnology, |
International Journal of Advanced Research |
2 |
210-226. |
55. |
Singh, S., Tiwari, J. K., Sharma, V., Singh, B.P. and Rawat, S. |
In-Silico Analysis of Structural Properties of Pathogen-Related Protein (PR1) in Potato Somatic Hybrid. |
Journal of Advanced Bioinformatics Applications and Research |
5 |
150-162 |
56. |
Pareek, S.S., Joshi, R.K., Ravi, I. Rout, E., Kumar, S. and Sharma, V. |
Identification and Characterization of NBS-LRR Class Resistance Gene Analogs in Mothbean (Vigna aconitifolia), |
J. Plant Pathology. |
97 |
153-159 |
57. |
Sekhwal, M.K., Swami, A. K., Sharma, V., and Sarin, R. |
Identification of transcription factors in Sorghum bicolor using GO-terms semantics similarity. |
Cellular and Molecular Biology Letters, |
20(1) |
1-23 |
58. |
Shanker A. |
Simple sequence repeats mining using computational approach in chloroplast genome of Marchantia polymorpha. |
Arctoa |
23 |
145-149 |
59. |
Shanker A. |
Computational mining of microsatellites in the chloroplast genome of Ptilidium pulcherrimum, a liverwort. |
International Journal of Environment |
3 |
50-58 |
60. |
Shanker A. |
Computationaly mined microsatellites in chloroplast genome of Pellia endiviifolia. |
Archive for Bryology |
199 |
1-5 |
2013 |
|||||
61. |
Sekhwal, M.K., Sharma, V. and Sarin, R. |
Identification of MFS Proteins in Sorghum Using Semantic Similarity. |
Theory in Biosciences, DOI: 10.1007/s12064-012-0174-z |
132 |
105-113 |
62. |
Raghav, D., Sharma, V., and Agarwal, S.M., |
Structural investigation of deleterious non-synonymous SNPs of EGFR gene. 0149-x. |
Interdisciplinary Sciences: Computational Life Sciences, |
5(1) |
60-68. |
63. |
Raghav, D., and Sharma, V., |
An in-silico evaluation of deleterious non-synonymous SNPs in ErbB3 oncogene. |
BioResearch Open Access. |
2(3) |
206-211. |
64. |
Kuntal, H., and Sharma, V., |
SNP analysis in core mitochondrial genes of Chlorophytes. |
International Journal of Computational Bioinformatics and In Silico Modeling, |
2(5) |
234-238. |
65. |
Sekhwal, M.K., Sharma, V., and Sarin, R., |
Annotation of glycoside hydrolases in Sorghum bicolor using proteins interaction approach. |
Journal of Proteome Science Computational Biology, |
2(1) |
1-8 |
66. |
Shanker, A., |
Inference of bryophytes paraphyly using mitochondrial genomes. |
Archive for Bryology |
165 |
1-5 |
67. |
Shanker, A., |
Combined data from chloroplast and mitochondrial genome sequences showed paraphyly of bryophytes. |
Archive for Bryology |
171 |
1-9 |
2012 |
|||||
68. |
Sharma, V., Sekhwal, M.K., Swami, A.K. and Sarin, R. |
Identification of drought responsive proteins using gene ontology hierarchy. |
Bioinformation |
8(13) |
595-599 |
69. |
Sharma V, Kuntal H, Katara P, Sharma S. |
Identification of SSRs in EST sequences of Lolium and Agrostis species. |
International Journal of Integrative Research |
13(2) |
80-87 |
70. |
Shanker A and Sharma V. |
Chloroplast genome analysis to detect transition link between bryophytes and pteridophytes: A Bioinformatics Approach.
|
Archive for Bryology. |
121 |
1-8 |
71. |
Katara P, Grover A and Sharma V. |
In Silico Prediction of Drug Targets in Phytopathogenic Pseudomonas syringae pv. phaseolicola: Charting a Course for Agrigenomics Translation Research. |
OMICS: A Journal of Integrative Biology |
16(12) |
700-706 |
72. |
Kuntal H, Sharma V and Daniell H. |
Microsatellite analysis in organelle genomes of Chlorophyta. |
Bioinformation. |
8(6) |
255-259. |
73. |
Sekhwal, M.K., Swami, A.K., Sarin, R. and Sharma, V. |
Identification of salt treated proteins in sorghum using gene ontology linkage. |
Physiology and Molecular Biology of Plants, |
18 |
209-216. |
2010 |
|||||
74. |
Gautam, B., Katara P., Singh, S. and Farmer, R. |
Drug target identification using gene expression microarray data of Toxoplasma gondii |
International Journal of Biometric and Bioinformatics |
4(3) |
113-124 |
75. |
Katara, P., Sharma, N., Sharma, S., Khatri, I., Kaushik, A., Kaushal, L. and Sharma, V. |
Comparative microarray data analysis for the expression of genes in the pathway of glioma |
Bioinformation |
5(1) |
31-34 |
76. |
Katara P., Singh A., Ragav, D. and Sharma, V. |
Analysis of Regulatory Genomics and Gene Expression Pattern of Medicinal Importance Genes of Helicobacter Pylori |
J Comput Sci Syst Biol |
3(1) |
010-015 |
2009 |
|||||
77. |
Katara, P., Agarwal, M., Jeena, G., Karkra, S., Sharma, I. and Sharma, V. |
In-silico Prediction of the Regulatory Element Patterns of Human Pathogen Mycobacterium tuberculosis. |
International Journal of Biotechnology & Biochemistry |
5(1) |
7-13 |
78. |
Shanker, A. and Sharma, V. |
Annotation Jargon- It's not too late to correct it |
Current Science |
97 |
983-984 |
79. |
Shanker, A., Sharma, V. and Daniell, H. |
A novel index to identify unbiased conservation between proteomes. |
International Journal of Integrative Biology |
7 |
32-38 |
2008 |
|||||
80. |
Singh, A., Mishra, S., Raghav, D., Shanker, A. and Sharma, V. |
In silico Method for theIdentification of Mycobacterial sp. Potential Drug Targets. |
ICCES |
6 |
119-123 |
81. |
Katara, P. and Sharma, |
In-silico prediction of the essentiality of osmoprotectant genes of Pseudomonas aeruginosa. |
J. Computational Intelligence in Bioinformatics |
1(2-3) |
143-148 |
2007 |
|||||
82. |
Shanker, A., Bhargava, A., Bajpai, R., Singh, S., Srivastava, S. and Sharma, V. |
Bioinformatically mined simple sequence repeats in unigene of Citrus sinensis. |
Sci. Horti. |
113 |
353-361 |
83. |
Shanker, A., Singh, A. and Sharma, V. |
In silico mining in expressed sequences of Neurospora crassa for identification and abundance of microsatellites. |
Microbiological Research |
162 |
250-256 |
Books Published:
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