Bioinformatics Lab @ University of Nevada, Reno

Welcome to the Bioinformatics Lab at Univesity of Nevada Reno

Room 436, William N. Pennington Engineering Building

People

Lab Director

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Tin Nguyen

Assistant Professor

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

PhD Student

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Bang Tran

PhD Student

scRNA Imputation, Single-cell Analysis

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Duc Tran

PhD Student

Genetic Algorithms, Single Cell, 3D genomics

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Hung Nguyen

PhD Student

Clustering, Disease Subtyping

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Monikrishna Roy

PhD Student

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Yan Yang

PhD Student

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Zeynab Maghsoudi

PhD Student

Undergraduate Student

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Jesus Casillas Manzano

Undergraduate Student

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Mark Minkoff

Undergraduate Student

Video compression with GAN and transformer models

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Monte McRae

Undergraduate Student

Alumni

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Brian Marks

Undergraduate Student

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Nina Hees

Undergraduate Student

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Alena Lee

Master Student

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Sangam Threstha

Master Student

Machine Learning, Bioinformatics

News

Assistant Professor Tin Nguyen and his lab have developed software to help life scientists efficiently analyze single-cell data using machine learning.

Outreach

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

Fast and precise single-cell data analysis using a hierarchical autoencoder

A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. …

Analysis of Short-read Aligners using Genome Sequence Complexity

Next generation sequencing technologies have the capability to provide large numbers of short reads inexpensively and accurately. …

Disease subtyping using community detection from consensus networks

Cancer is a complex disease including a range of disorders that are activated simultaneously by multiple biological processes on …

Multi-Omics Analysis Detects Novel Prognostic Subgroups of Breast Cancer

The unprecedented proliferation of recent large-scale and multi-omics databases of cancers has given us many new insights into genomic …

Software

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PINSPlus

A R package for Data Integration and Disease Subtyping

PINSPlus Web

A Shiny web-application 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.

Contact