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Debasree Sarkar
Debasree Sarkar
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Title
Cited by
Cited by
Year
Single cell transcriptomic landscape of diabetic foot ulcers
G Theocharidis, BE Thomas, D Sarkar, HL Mumme, WJR Pilcher, ...
Nature Communications 13 (1), 1-17, 2022
1312022
Machine-learning techniques for the prediction of protein-protein interactions
D Sarkar, S Saha
Journal of Biosciences 44 (4), 104, 2019
682019
LMPID: A manually curated database of linear motifs mediating protein–protein interactions
D Sarkar, T Jana, S Saha
Database (Oxford) 2015 (2015), bav014, 2015
242015
Allergen Databases
G Sircar, D Sarkar, SG Bhattacharya, S Saha
Immunoinformatics, 165-181, 2014
222014
The sensor kinase MtrB of Mycobacterium tuberculosis regulates hypoxic survival and establishment of infection
SK Banerjee, S Lata, AK Sharma, S Bagchi, M Kumar, SK Sahu, D Sarkar, ...
Journal of Biological Chemistry 294 (52), 19862-19876, 2019
192019
LMDIPred: A web-server for prediction of linear peptide sequences binding to SH3, WW and PDZ domains
D Sarkar, T Jana, S Saha
PLoS ONE 13 (7), e0200430, 2018
152018
Single-cell analysis reveals altered tumor microenvironments of relapse-and remission-associated pediatric acute myeloid leukemia
H Mumme, BE Thomas, SS Bhasin, U Krishnan, B Dwivedi, P Perumalla, ...
Nature Communications 14 (1), 6209, 2023
72023
Computational Framework for Prediction of Peptide Sequences That May Mediate Multiple Protein Interactions in Cancer-Associated Hub Proteins
D Sarkar, P Patra, A Ghosh, S Saha
PLoS One 11 (5), e0155911, 2016
62016
Characterization of T-ALL-Specific Heterogenous Blast Populations Using High Resolution Single Cell Profiling
SS Bhasin, RJ Summers, BE Thomas, D Sarkar, B Dwivedi, SI Park, ...
Blood 136, 11-12, 2020
22020
Single Cell Transcriptomics Revealed AML and Non-AML Cell Clusters Relevant to Relapse and Remission in Pediatric AML
BE Thomas, P Perumalla, SS Bhasin, D Sarkar, B Dwivedi, SI Park, ...
Blood 136, 24-25, 2020
22020
Pediatric T-cell acute lymphoblastic leukemia blast signature and MRD associated immune environment changes defined by single cell transcriptomics analysis
SS Bhasin, BE Thomas, RJ Summers, D Sarkar, H Mumme, W Pilcher, ...
Scientific Reports 13 (1), 12556, 2023
12023
Analysis of Single Cell Transcriptomics in Paired Pediatric T-ALL Samples Collected at Diagnosis and Following End of Induction Therapy Reveals an MRD-Associated Stem Cell …
SS Bhasin, BE Thomas, RJ Summers, D Sarkar, HL Mumme, ME Mansour, ...
Blood 138, 1311, 2021
12021
Computational Proteomics
D Sarkar, S Saha
Systems Biology Application in Synthetic Biology, 11-20, 2016
12016
ABDpred: Prediction of active antimicrobial compounds using supervised machine learning techniques
T Jana, D Sarkar, D Ganguli, SK Mukherjee, RS Mandal, S Das
Indian Journal of Medical Research, 10.4103, 2024
2024
Role of Human Papillomavirus in Carcinogenesis
V Tilva, D Sarkar, A Chauhan, N Makwana, S Shah
Advances in Human Biology 14 (1), 36-41, 2024
2024
Single cell analysis reveals altered tumor microenvironments of relapse-and remission-associated pediatric acute myeloid leukemia
GB Ulukaya, BE Thomas, SS Bhasin, H Mumme, B Dwivedi, P Perumalla, ...
2021
Abstract P4-05-19: Genome wide cell specification of R-loops in BRCA1 mutation carriers without malignancy
A Grageda, D Sarkar, VA Kuznetsov
Cancer Research 80 (4_Supplement), P4-05-19-P4-05-19, 2020
2020
Systematic discovery of linear motifs mediating protein-protein interactions
D Sarkar, TC Ghosh, S Saha
Bose Institute, 2018
2018
Prediction of linear peptide sequences mediating interactions with SH3, WW and PDZ domains.
D Sarkar, S Saha
2014
Attributes of linear peptides mediating interactions with Proteins, Antibodies and MHC complexes
D Sarkar, S Saha
2014
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