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Siddiqa Rani

Siddiqa Rani

Bioinformatics Student

Talent
TopiMember since July 27, 2026
PythonData preprocessingComparative genomicsPhylogenetic analysisMEGAiTOLUCSF ChimeraPROSITEDAVIDCDDKEGGProtein structure predictionPROCHECKERRATProSAWhole genome sequencing (WGS)Genome assemblyARTMISFastQCTrim GaloreBismarkBowtie2SAMtoolsGATKbcftoolssnpEffShermanAutoDock VinaMolecular dockingTensorFlow
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PythonData preprocessingComparative genomicsPhylogenetic analysisMEGA

About

Completed structured training in next-generation sequencing (NGS) data analysis and machine learning applications in bioinformatics. Implemented sequencing data preprocessing, quality control, and transcriptomic interpretation workflows. Explored applications of high-throughput sequencing technologies in health and disease research.

Experience

RNA Sequencing, NGS & Machine Learning Training Intern - SINES–NUST & NextGen Solutions - Online

(2025-08-05 - 2025-10-21)

  • Completed structured training in next-generation sequencing (NGS) data analysis and machine learning applications in bioinformatics.
  • Implemented sequencing data preprocessing, quality control, and transcriptomic interpretation workflows.
  • Explored applications of high-throughput sequencing technologies in health and disease research.

Structural & Functional Bioinformatics Intern - KAIST - Remote

(2024-08-01 - 2024-08-31)

Supervisor: Hamza Arshad Dar (KAIST Researcher)

  • Performed protein structure prediction, refinement, and validation analyses.
  • Conducted phylogenetic analysis using MEGA and iTOL.
  • Validated protein structures using PROCHECK, ERRAT, and ProSA.
  • Visualized protein structures using UCSF Chimera.
  • Executed functional annotation using PROSITE, DAVID, CDD, and KEGG.
  • Independently completed structural and functional analysis of the human FAM26F protein.

Integrative Biology Laboratory (Bioinformatics Databases & Bacterial Genomics Intern) - Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST) - Islamabad, Pakistan

(2023-08-26 - 2023-10-12)

Supervisor: Prof. Amjad Ali (Google Scholar)

  • Utilized bioinformatics databases, including ARTMIS, for bacterial genome analysis.
  • Acquired practical knowledge of whole genome sequencing (WGS) methodologies.
  • Performed genome assembly, annotation, and comparative genomics analyses using standard pipelines.
  • Constructed and interpreted phylogenetic trees to investigate evolutionary relationships.
  • Completed certified training in bacterial bioinformatics and whole genome sequencing tools and applications.

Education

B.S. - Bioinformatics - Pak-Austria Fachhochschule Institute of Applied Sciences and Technology (2022-09 - 2026-08)

Skills

Bioinformatics Student

Reviews

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