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Connection

Srinivas Ramachandran to Software

This is a "connection" page, showing publications Srinivas Ramachandran has written about Software.

 
Connection Strength
 
 
 
1.194
 
  1. Rani J, Shah AB, Ramachandran S. pubmed.mineR: an R package with text-mining algorithms to analyse PubMed abstracts. J Biosci. 2015 Oct; 40(4):671-82.
    View in: PubMed
    Score: 0.312
  2. Chaudhuri R, Ramachandran S. Prediction of virulence factors using bioinformatics approaches. Methods Mol Biol. 2014; 1184:389-400.
    View in: PubMed
    Score: 0.277
  3. Ansari FA, Kumar N, Bala Subramanyam M, Gnanamani M, Ramachandran S. MAAP: malarial adhesins and adhesin-like proteins predictor. Proteins. 2008 Feb 15; 70(3):659-66.
    View in: PubMed
    Score: 0.184
  4. Clarke DJB, Evangelista JE, Xie Z, Marino GB, Byrd AI, Maurya MR, Srinivasan S, Yu K, Petrosyan V, Roth ME, Milinkov M, King CH, Vora JK, Keeney J, Nemarich C, Khan W, Lachmann A, Ahmed N, Agris A, Pan J, Ramachandran S, Fahy E, Esquivel E, Mihajlovic A, Jevtic B, Milinovic V, Kim S, McNeely P, Wang T, Wenger E, Brown MA, Sickler A, Zhu Y, Jenkins SL, Blood PD, Taylor DM, Resnick AC, Mazumder R, Milosavljevic A, Subramaniam S, Ma'ayan A. Playbook workflow builder: Interactive construction of bioinformatics workflows. PLoS Comput Biol. 2025 Apr; 21(4):e1012901.
    View in: PubMed
    Score: 0.151
  5. Sachdeva G, Kumar K, Jain P, Ramachandran S. SPAAN: a software program for prediction of adhesins and adhesin-like proteins using neural networks. Bioinformatics. 2005 Feb 15; 21(4):483-91.
    View in: PubMed
    Score: 0.145
  6. Chaudhuri R, Ramachandran S. Immunoinformatics as a Tool for New Antifungal Vaccines. Methods Mol Biol. 2017; 1625:31-43.
    View in: PubMed
    Score: 0.085
  7. Evangelista JE, Clarke DJB, Byrd AI, Srinivasan S, Srinivasan S, Maurya MR, Jenkins SL, Diamant I, Sanchez E, Xie Z, Olaiya S, Kim H, Marino GB, Ahmed N, Ramachandran S, Subramaniam S, Ma'ayan A. The CFDE Workbench: Integrating Metadata and Processed Data from Common Fund Programs. J Mol Biol. 2026 Sep 15; 438(18):169631.
    View in: PubMed
    Score: 0.040
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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