Bioinformatics Lab @ Auburn University

Welcome to the Bioinformatics Lab at Auburn University

Room 2323, Shelby Center, Auburn University

People

Lab Director

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Tin Nguyen

Associate Professor

Data Science, Machine Learning, Disease Subtyping, Pathway Analysis, Single-cell Analysis

Current PhD Students

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Ha Nguyen

PhD Student

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Quang-Huy Nguyen

PhD Student

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Nghi Tran

PhD Student

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Van-Dung Pham

PhD Student

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Dao Tran

PhD Student

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Ba Nguyen

PhD Student

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Jie Zhang

PhD Student

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Khoi Nguyen

PhD Student

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Sy Le

PhD Student

PhD Graduates

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Phi Bya

Research Assistant Professor

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Bang Tran

Assistant Professor

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Duc Tran

Bioinformatics Scientist

Lab Assistants

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Duy Tran

Research Engineer

Current Undergraduate Students

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Christian McDowell

Undergraduate Student

Trainees

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Dung Vuong

Trainee

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Emily Tran

Trainee

Master Alumni

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Alena Lee

Master Student

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Augustine Ofoegbu

Graduate Student

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Monikrishna Roy

Software Engineer

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Sangam Shrestha

Senior Data Scientist

Undergraduate Alumni

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Brian Marks

Undergraduate Student

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Nina Hees

Undergraduate Student

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Jesus Casillas Manzano

Undergraduate Student

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Mark Minkoff

Undergraduate Student

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Monte McRae

Undergraduate Student

News

Associate Professor Tin Nguyen’s collaborative study will enable software to analyze extremely large-scale data and infer cellular development for multiple sets of cells and cell types.

Associate Professor Tin Nguyen is set to begin NIH NCI-funded research that could combat cancer subtype misdiagnoses.

Nhóm nghiên cứu của TS. Nguyễn Chí Tín (Đại học Nevada, Reno, Mỹ) đã phát triển được mô hình học sâu scCAN có khả năng phân cụm hàng triệu dữ liệu tế bào trong một thời gian ngắn với độ chính xác cao, nhờ đó có thể tìm ra những tế bào hiếm gặp trong mẫu sinh thiết ung thư một cách hiệu quả hơn.

Tìm lối đi giữa mênh mông dữ liệu

Sự phát triển của công nghệ là một điều mà có lẽ đa phần chúng ta đều mong muốn. Tuy nhiên, sự tiến bộ ấy đôi khi lại dẫn đến một “rắc rối” không nhỏ: số lượng dữ liệu sinh ra sẽ vượt quá khả năng xử lý của con người hay các công cụ hiện có. Và thực tế ấy càng thể hiện rõ nét hơn trong những lĩnh vực còn tương đối mới, ví dụ như công nghệ giải trình tự đơn tế bào (single-cell RNA sequencing).

Seven University of Nevada, Reno faculty members have received a 2022 CAREER Award. This latest cohort follows the eight awards received by faculty in 2021, the most ever in a single year at the University.

Assistant Professor Tin Nguyen is set to begin NSF-funded research this summer that could advance our understanding of cancer.

Outreach

Great Basin College Bioinformatics Workshop 2022

Three-Day Workshop: Introduction to Bioinformatics Techniques

Great Basin College Bioinformatics Workshop 2021

Two-Day Workshop: Introduction to Bioinformatics Techniques

Pack Research Experience Program Mentoring

A new research award that directly benefits underrepresented students with an academic standing of freshman or sophomore.

Recent Publications

Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review

Metabolite profiling is a powerful approach for the clinical diagnosis of complex diseases, ranging from cardiometabolic diseases, …

CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome

This manuscript describes the development of a resource module that is part of a learning platform named ‘NIGMS Sandbox for Cloud-based …

SSA: a novel method for Single-cell and Spatial transcriptomics Alignment

Single-cell RNA sequencing (scRNA-seq) provides expression profiles of individual cells but fails to preserve crucial spatial …

RCPA: An Open-Source R Package for Data Processing, Differential Analysis, Consensus Pathway Analysis, and Visualization

Identifying impacted pathways is important because it provides insights into the biology underlying conditions beyond the detection of …

Software

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AIPA

AIPA: AI-Powered Pathway Analysis and Biological Insights

RCPA

RCPA: An Open-Source R Package for Data Processing, Differential Analysis, Consensus Pathway Analysis, and Visualization

DeconBenchmark

An R package provides a common interface to run 50 cellular deconvolution methods

scCAN

A R package for single-cell data clustering

scISR

A R package for single-cell data imputation

Thyme

ThYme: A comprehensive database of the Thioester-active enzYmes

SMRT

A web application for cancer subtyping and big data analysis

CPA

CPA: a web-based platform for consensus pathway analysis and interactive visualization

scDHA

A R package for single-cell analysis

PINSPlus

An R package for data integration and disease subtyping

SCFA

A R package for cancer subtyping

FAT-PTM

A database for examining post-translational modification data

BLMA

Suit of tools for bi-level meta-analysis.

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