Bioinformatics Analyst Resume Example

• Annotated the Protein coding regions of Simian adenovirus gene 27.1 in comparison to Simian adenovirus 32 using Artemis. 
• Analyzed the percentage identity of these coding regions for SAdV27.1 to the coding regions of 5 distinct and close Genome species using Needleman and Wunsch algorithm via EMBOSS. 
• Generated a graphical visualization to find the closely related genome using the zpicture. 
• Developed a phylogenetic tree based on the maximum likelihood algorithm using an bioinformatics software MEGA 5.
  

• Analyzed and Extracted dataset for normal and invasive breast cancer cells in stroma were from NCBI GEO. 
• Conducted Microarray Expression Analysis: RMA Normalization,Exploratory analysis, Noise threshold analysis, Noise Filtering, Variance and Normality analysis, Significance Analysis, Gene selection and Molecular Pathway analysis.
  

• Focused on the Illumina sequencing platform that produces millions of very short sequences that are 35 bases in length.
  
• Classified three assembler namely Edena, Abyss and Velvet for thissurvey. These assemblers were based on a classical overlap graph like De Bruijn graph, Overlap-layout- consensus graphs and on the detection of potentially spurious reads.
  
• Compared assembly results of data sets for Staphylococcus aureus, Saccharomyces cerevisiae and Caenorhabditis elegans.  
• Evaluated Assemblers on various factors like Number of contigs, Maximum Contig length, Minimum Contig Length, Mean Contig Length, N50, N80 and Runtime.
  

•  Developed for users to find various protein sequence length as well as protein sequences.
• Scripted In Perl for the users to select the alpha and beta propensity values given to each protein residue in the  database for which the epitopes were predicted.The alpha and beta propensities values were values published by various research scientists and literatures. 
• Led to accurate epitope prediction for the desired protein of interest.
  

Trainee  

January 2006 to March 2006  

Reliance Life Sciences Research Centre – Navi Mumbai, Maharashtra, India.

• The objective was to clone a therapeutic protein (activating the cytokine) in order carry out immune response against cancer antigens  
  
• Identified the gene coding for the cytokine from the literature, and isolated the tRNA from the animal cell line  
  
• Prepared Reverse transcriptase (RT) PCR and the cDNA amplification using specific pre-designed primers.
  
• Ligated of pUC19 vector into the gene followed by transformation into bacterial cells.
• Performed Colony PCR to grow multiple cells. Processed the Restriction enzymes digestion using BamHI and EcoRI to find the insert.
• Multiple Sequence Alignment was conducted using ClustalW software, showed one positive clone as the result.