プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Bahar J.に依頼

Sweden

Bioinformatics Researcher | RNA-seq, NGS & Comparative Sequence Analysis

プロフィール概要

I am a Clinical Biochemistry researcher and Bioinformatics Data Analyst with experience in molecular biology, gene expression analysis, cancer-related research, and computational analysis of biological sequence and omics data. I hold an MSc in Clinical Biochemistry and have hands-on experience in both wet-lab and computational biology, which allows me to understand experimental design, molecular mechanisms, and the biological interpretation of data. My main expertise includes RNA-seq and NGS data analysis, transcript-level expression analysis, differential gene expression, functional enrichment, comparative sequence analysis, motif/context analysis, and biomedical data visualization. I work with Python, R, Bioconductor, DESeq2, edgeR, ggplot2, pandas, Biopython, Galaxy, Logomaker, and bioinformatics resources such as NCBI, Ensembl, GEO, TCGA, GDC Portal, and genome/transcriptome annotation files. I have practical experience working with real biological datasets including FASTA files, GTF/GFF genome annotations, protein FASTA files, Salmon quantification outputs such as quant.sf, transcript and gene identifiers, and expression-level tables. I can build reproducible workflows for extracting sequence contexts, integrating expression data, generating nucleotide frequency profiles, creating publication-quality sequence logos, and comparing biological patterns across datasets or species. I am currently involved in a remote confidential bioinformatics research collaboration with a university research group, focused on comparative analysis of regulatory sequence contexts across multiple animal species. Due to confidentiality, detailed data, scripts, and results cannot be publicly shared. However, the project involves extracting sequence features from genome and annotation files, linking them with expression-level data, stratifying genes or transcripts based on biological parameters, and generating interpretable visual outputs for comparative analysis. My wet-lab background includes molecular biology and cell-based techniques such as cell culture, RT-qPCR, gene expression assessment, and cancer biology research. This helps me provide bioinformatics analyses that are not only computationally correct, but also biologically meaningful and suitable for academic interpretation. I can support researchers and academic teams with: • RNA-seq and NGS data analysis • Transcript and gene expression analysis • Differential gene expression analysis • FASTA, GTF/GFF, protein FASTA, and quant.sf data processing • Comparative sequence and motif/context analysis • Nucleotide frequency analysis and sequence logo generation • GO/KEGG pathway enrichment analysis • Biomedical statistics and visualization in R/Python • Publication-quality figures, tables, and reports • Literature review and manuscript support in molecular biology, cancer research, and bioinformatics My goal is to provide clear, reproducible, well-documented, and publication-ready analyses for researchers, clinicians, and academic groups working with molecular biology, genomics, transcriptomics, and biomedical datasets.

専門分野

• ☆ Computational Biology
• ☆ Biochemistry
• ☆ Biochemical Assays
• ☆ Apoptosis
• ☆ Enzyme Activity Assays
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Genetics
• ☆ Epigenetics
• ☆ PCR
• ☆ Next Generation Sequencing (NGS)
• ☆ DNA Sequencing
• ☆ Protein Sequencing
• ☆ Gene Expression Analysis
• ☆ Genome Sequencing
• ☆ Exome Sequencing
• ☆ RNA Sequencing
• ☆ Cell Biology
• ☆ Cell-Based Assays
• ☆ Cytogenetics
• ☆ Cell Signaling Pathways
• ☆ Gene Regulation
• ☆ Stem Cell Research
• ☆ Neuroscience
• ☆ Molecular Neuroscience
• ☆ Neurobiology
• ☆ Microscopy
• ☆ Light Microscopy
• ☆ Fluorescence Microscopy
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Biomarker Discovery
• ☆ Cell Culture
• ☆ Primary Cells
• ☆ Cell Surface Receptors
• ☆ Blotting
• ☆ Immunohistochemistry
• ☆ Cytometry
• ☆ Python
• ☆ SPSS
• ☆ Excel
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn
• ☆ In vitro Diagnostics
• ☆ In vitro Diagnostic Validation
• ☆ In vitro Diagnostic Design
• ☆ Biomarker Analysis

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, General Proofreading & Editing, Translation

Research Meta-Research, Fact Checking, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Healthcare Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-ML, Data Visualization, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Ahvaz Jondishapour University of Medical Sciences Faculty of Medicine

- 現在

Imam Khomeini Hospital

- 現在

Remote Research Collaborator (Bioinformatics)

University of Helsinki

8月 2025 - 現在

Cancer Data Registrar and Analyst

Imam Khomeini Hospital

7月 2024 - 3月 2025

Research Assistant

Hyperlipidemia Laboratory

10月 2022 - 3月 2023

Research Assistant

Cellular and Molecular Research Center

9月 2019 - 10月 2022

学歴

Ahvaz Jondishapour University of Medical Sciences Faculty of Medicine

- 現在

Ahvaz Jondishapour University of Medical Sciences Faculty of Medicine

- 現在

Master of Science (M.Sc.) in Clinical Biochemistry Faculty of Medicine

ahvaz jundishapur university of medical sciences

9月 2019 - 10月 2022

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Bahar Jaberian Asl, Omid Anbiyaee, Abdolah Mousavi Salehi, Fatemeh Jamshidi, Farhoodeh Ghaedrahmati, maryam farzaneh (2026). Functional Roles of Non-Coding RNAs in Graves' Disease . Current Molecular Medicine.

Bahar Jaberian Asl, Mahrokh Abouali Gale Dari, Dian Dayer, Shirin Azizidoost, Maryam Farzaneh, Abdolah Mousavi Salehi (2025). miR-34 as a Critical Regulator in Ovarian Cancer . Current Molecular Medicine.

Bahar Jaberian Asl, Bahareh Naeeni, Samaneh Salehipour Bavarsad, Mahdi Hatami, Ghazal Orak, Sahar Saki, Afra Alizadeh, Elham Shakerian (2025). Stem Cell-Derived Exosomes Significantly Boost Etoposide-Induced Apoptosis in HepG2 Liver Cancer Cells: A Novel Strategy for Enhanced Chemotherapy . Hepatitis Monthly.

Bahar Jaberian Asl, Reza Afarin, Mahdi Hatami, Amineh Dehghani Madiseh, Mohammadreza Roshanazadeh, Mojtaba Rashidi (2024). Curcumin-Etoposide Synergy: Unveiling the Molecular Mechanisms of Enhanced Apoptosis and Chemoresistance Attenuation in Breast Cancer . Iranian Journal of Pharmaceutical Research.

Bahar Jaberian Asl, Zahra Nazeri, Seyadeh Pardis Pezeshki, Alireza Kheirollah, Shirin Azizidoost, Maryam Adelipour, Maryam Cheraghzadeh (2024). Effect of Amyloid Beta on Cholesterol Metabolism-Correlated microRNAs in Primary Cultured Astrocytes of C57BL/6J Mice: A Focus on CYP46A1 and APOE Genes . Cell Journal (Yakhteh).

Bahar Jaberian Asl, Reza Afarin, Negar Dinarvand, Hossein Azizi Dariuni, Ghazal Orak, Reza Azizi, Azam Khedri (2024). Curcumin and saroglitazar attenuate diet-induced nonalcoholic steatohepatitis by activating the Nrf2 pathway and suppressing ERK1/2 signaling . Iranian Journal of Basic Medical Sciences.

Bahar Jaberian Asl, Sajad Monjezi, Ghazal Orak, Fatemeh Ghaffari, Samaneh Salehipour Bavarsad, Negar Dinarvand, Azam Khedri (2024). The Up-Regulation of miR-146a and miR-29b via Exosomes Protects Against Liver Fibrosis by Inhibiting the TGF-β/Smad3c Signaling Pathway . Hepatitis Monthly.

Bahar Jaberian Asl, Reza Afarin, Negar Dinarvand, Ghazal Orak, Elham Shakerian, Fatemeh Bineshfar, Akram Ahangarpour (2023). Comparison of the anti-inflammatory and antilipidemic activity of diosmin and saroglitazar in a model of nonalcoholic fatty liver induced by a high-fat diet in Wistar rats . Iranian Journal of Basic Medical Sciences.

Bahar Jaberian Asl, Reza Afarin, Fereshteh Aslani, Shahla Asadizade, Mehrnoosh Mohammadi Gahrooie, Elham Shakerian, Akram Ahangarpour (2023). The Effect of Lipopolysaccharide-Stimulated Adipose-Derived Mesenchymal Stem Cells on NAFLD Treatment in High-Fat Diet-Fed Rats . Iranian Journal of Pharmaceutical Research.