Skills:
                                    Bioinformatics Computer Language: Python, C, SQL, Unix Shell. Statistical Software: R, SAS, JMP, Prism. Analysis Tools: Bioconductor, Matlab, Ingenuity. Next Generation Sequencing Data Analysis: Read mapping and alignment(Illumina and SOLiD data): Bowtie, BWA, CLC Genomics. Data conversion: SRA compression and decompression:SRA toolkit. SAMtools for SAM/BAM conversion. Gene Variant: CASPER package for alternative splicing. ANNOVAR software for functional annotation and genetic variants filtering. SNP calling: SAMtools mpileup., GATK (UnifiedGenotyper). Isoform expression: MMSeq (bam2nits, mmseq). Haplotype phasing: PolyHap2. Splice junction mapping: TopHat. Transcript assembly:Cufflinks. Chromatin immunoprecipitation sequencing (ChIP-seq) analysis, Peak finding and refinement: MACS, CLC Genomics. Pathogen identification: CaPSID. Database design and implement: Traditional relational database system (MySQL) and MongoDB (No SQL Database). Pathway analysis: Ingenuity Pathway Analysis (IPA) software, GSEA, DAVID tools, UCSC Genome Browser. Computer Programming (descending order of current familiarity): Python, Java, SQL, MySQL, UNIX shell scripting, C++. Statistical Software:JMP, SAS, R, Bioconductor, Matlab.