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Bioinformatics and Systems Biology

Boston, Massachusetts, US

The analysis of high-throughput genomics, proteomics, metabolomics and epigenomics data is the most critical step in systematically understanding pathophysiology of a disease as well as identifying potential biomarkers. The analysis of OMICS data often presents a challenge to translational and basic science researchers. The mission of Bioinformatics and Systems Biology core is to provide expertise and infrastructure in designing, analyses and simulation of high-throughput OMICS data to answer underlying biological questions. The core support analysis of data from many next-generation sequencing assays including transcriptional quantification (RNA-Seq), protein-nucleic acid interactions (ChIP-Seq), global methylation, genotyping or variant analysis through genome sequencing. To support cutting edge research, a special emphasis was made on implementing/developing systems biology frameworks and models for integrative... Show more »

The analysis of high-throughput genomics, proteomics, metabolomics and epigenomics data is the most critical step in systematically understanding pathophysiology of a disease as well as identifying potential biomarkers. The analysis of OMICS data often presents a challenge to translational and basic science researchers. The mission of Bioinformatics and Systems Biology core is to provide expertise and infrastructure in designing, analyses and simulation of high-throughput OMICS data to answer underlying biological questions. The core support analysis of data from many next-generation sequencing assays including transcriptional quantification (RNA-Seq), protein-nucleic acid interactions (ChIP-Seq), global methylation, genotyping or variant analysis through genome sequencing. To support cutting edge research, a special emphasis was made on implementing/developing systems biology frameworks and models for integrative analysis of genomic, epigenomics proteomic, metabolomic, imaging and clinical data to identifying key molecules driving pathophysiology. In addition to analyses support, core also provides resources for data management and high performance computing.

Recent Publications

  • Jaíra Ferreira de Vasconcellos, Angelo Brunelli Albertoni Laranjeira, Paulo C Leal, Manoj K Bhasin, Priscila Pini Zenatti, Ricardo J Nunes, Rosendo A Yunes, Alexandre E Nowill, Towia A Libermann, Luiz Fernando Zerbini, José Andrés Yunes, SB225002 Induces Cell Death and Cell Cycle Arrest in Acute Lymphoblastic Leukemia Cells through the Activation of GLIPR1, PloS one 10 (8), e0134783
  • RC Starling, J Stehlik, DA Baran, B Armstrong, JR Stone, D Ikle, Y Morrison, ND Bridges, P Putheti, TB Strom, M Bhasin, I Guleria, A Chandraker, M Sayegh, KP Daly, DM Briscoe, PS Heeger, Multicenter Analysis of Immune Biomarkers and Heart Transplant Outcomes: Results of the Clinical Trials in Organ Transplantation‐05 Study, American Journal of Transplantation 2015/8/1
  • Khurram Owais, Thomas Huang, Feroze Mahmood, Jeffery Hubbard, Rabya Saraf, Amit Bardia, Kamal R Khabbaz, Yunping Li, Manoj Bhasin, Ashraf A Sabe, Frank Sellke, Robina Matyal, Cardiopulmonary Bypass Decreases Activation of the Signal Transducer and Activator of Transcription 3 (STAT3) Pathway in Diabetic Human Myocardium, The Annals of thoracic surgery 2015/7/28
  • Liang Zhang, Xiaoen Wang, Andrea J Bullock, Marcella Callea, Harleen Shah, Jiaxi Song, Kelli Moreno, Barbara Visentin, Douglas Deutschman, David C Alsop, Michael B Atkins, James W Mier, Sabina Signoretti, Manoj Bhasin, Roger A Sabbadini, Rupal S Bhatt, Anti-S1P Antibody as a Novel Therapeutic Strategy for VEGFR TKI-Resistant Renal Cancer, Clinical Cancer Research 21 (8), 1925-1934
  • Andrej Jedinak, Adam Curatolo, David Zurakowski, Simon Dillon, Manoj K Bhasin, Towia A Libermann, Roopali Roy, Monisha Sachdev, Kevin R Loughlin, Marsha A Moses, Novel non-invasive biomarkers that distinguish between benign prostate hyperplasia and prostate cancer, BMC cancer 15 (1), 259
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RNA-Seq Data Analysis
Price on request
  • mRNA expression/alternate splicing/isoforms/novel transcripts or gene/ Gene fusion/ detection of RNA editing
  • Single cell mRNA-Seq data analysis from various platforms
  • Integrated analysis of transcriptome, miRNA, epigenome and proteomics data
  • mRNA expression/alternate splicing/isoforms/novel transcripts or gene/ Gene fusion/ detection of RNA editing
  • Single cell mRNA-Seq data analysis from various platforms
  • Integrated analysis of transcriptome, miRNA, epigenome and proteomics data
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Systems Biology
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Systems biology analysis of data to identify potential therapeutic targets or biomarkers

Systems biology analysis of data to identify potential therapeutic targets or biomarkers

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Proteomics Data Analysis
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Customized data analysis and interpretation

Customized data analysis and interpretation

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Genomics Data Analysis
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  • Functional Genomics analysis of data including pathway and functional enrichment analysis
  • Customized data analysis and interpretation
  • Functional Genomics analysis of data including pathway and functional enrichment analysis
  • Customized data analysis and interpretation
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Microbiomics Data Analysis
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Comprehensive workflow for analysis of Microbiome sequencing data

Comprehensive workflow for analysis of Microbiome sequencing data

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Metabolomics Data Analysis
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  • Analysis of high throughput sequencing, microarray, proteomic and metabolomics data
  • Customized data analysis and interpretation
  • Analysis of high throughput sequencing, microarray, proteomic and metabolomics data
  • Customized data analysis and interpretation
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SNP Discovery Sequencing
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Variation discovery/allele analysis (CNV/SNP) from Exome or DNA-Seq data

Variation discovery/allele analysis (CNV/SNP) from Exome or DNA-Seq data

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DNA Methylation Analysis
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Analysis of epigenomics, ChIP-Seq and DNA Methylation data

Analysis of epigenomics, ChIP-Seq and DNA Methylation data

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Data Mining
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Data and text mining from Public databases and literature

Data and text mining from Public databases and literature

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Predictive modeling
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Development of predictors using Bayesian, SVM, ANN, and KNN Algorithms for diagnosis and prognosis of disease

Development of predictors using Bayesian, SVM, ANN, and KNN Algorithms for diagnosis and prognosis of disease

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Proteomics Consulting
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Experimental design assistance for OMICS studies

Experimental design assistance for OMICS studies

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DNA Sequencing
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Omics
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Omics Services

Omics Services

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Experimental Design
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Project Management, Consulting, & Support Services
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Data Services
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Epigenetic Analysis
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Protein Sequencing
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Computational Modeling
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Biology
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Sequencing Data Analysis
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Nucleic Acid Analysis
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Nucleic Acid Data Analysis
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Next Generation Sequencing (NGS)
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DNA
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Biochemistry & Molecular Biology
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Nucleic Acid Services
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