THAIS NISENBAUM

BIOINFORMATICS PORTFOLIO


INTRODUCTION

Hello, and welcome to my Bioinformatics portfolio. I am a highly motivated bioinformatics professional with a passion for solving complex biological problems using computational methods.I am currently completing my master’s degree in Biotechnology with a concentration in Bioinformatics from Johns Hopkins University. Throughout my studies, I have gained experience in various areas of bioinformatics, including genomics, transcriptomics, and proteomics. My thesis involves exploring the potential of DNA-Based digital twin technology for the advancement of precision medicine in tongue cancer.

My portfolio highlights my skills and expertise in bioinformatics, featuring projects and code snippets that demonstrate my ability to analyze, interpret, and visualize biological data. In addition, my portfolio includes examples of my proficiency in software development, as I have designed and implemented various bioinformatics tools and pipelines using programming languages such as Python, R, and SQL. I have also worked on several projects that involve the integration of multiple data types, including RNA-seq and ChIP-seq, and am experienced in using various bioinformatics databases and tools, including NCBI, Ensembl, and UCSC Genome Browser.

Overall, my bioinformatics portfolio is a testament to my dedication and passion for bioinformatics, demonstrating my eagerness to continue developing my skills and knowledge in the field. I am excited about the opportunities to collaborate with others in the field and contribute to advancing our understanding of the complex biological systems around us.

Thank you for taking the time to review my portfolio.

SKILLS SUMMARY


Programming Languages

Python, SQL, R, Javascript/JQuery

R/Bioconductor Packages

ggplot2, peptides, biomaRt, biostrings, seqinr, cn.mops, CNVtools, edgeR

Prokaryotic Gene Prediction and Annotation

Gene-Finding Programs: ORF Finder, Glimmer, FGENESB, GeneMark, EasyGene 1.2b, Prodigal

Promoter-Finding Programs: BROM, Neural Network Promoter Prediction

Eukaryotic Gene Prediction

Single Genome De Novo Gene Prediction: GENSCAN, HMMGene, FGENESH, Augustus

Expression-Based Prediction: Splign, Genomic BLAST, BLAT

Protein Prediction

PSORTb, Hierarchical Neural Network (HNN), PHD, Protein Homology/analogY Recognition Engine V 2.0 (PHYRE2)

Functional RNAs

PicTar, PPfold

Genomic Databases and Tools

NCBI, Genome Data Viewer (GDV), NCBI Variation Viewer, Ensembl, UCSC (Genome Browser, Table Browser), Galaxy, IGV, dbSNP, ClinVar, SNPEffect and SNPedia, Database of Genomic Variants (DGV), Genome Aggregation Database (GnomAD), InterPro, ENCODE, NONCODE, TargetScan, miRNEST 2.0, PolymiRTS, DIANA-TarBase v.8, miRDB, miRBase, Rfam, cneViewer, UCNEbase

Sequence Alignment

MUSCLE, Clustal Omega, MAFFT

Next Generation Sequencing Analysis

Velvet, BWA, Bowtie2, HISAT, FreeBayes, MACS2, Stringtie, DESeq2, BEDtools, SAMtools, GATK, SnpEff, ANNOVAR, TopHat, Cufflinks