Biology × Data × Computing × Artificial Intelligence

Life is full of data. What can we discover?

Welcome to bioinformatics (生物信息学), where biology meets computing to reveal the hidden patterns of life. From understanding our genes to advancing medical research, discover how data and AI are changing the way we understand living systems.

Abstract DNA and data visualization
DNA → Data → Discovery
Biology meets AI

A gateway to bioinformatics for students, scientists, innovators and lifelong learners worldwide.

First, the big question

What is bioinformatics?

Bioinformatics is the science of using computers, mathematics, statistics and data analysis to understand biological information.

Living things generate enormous amounts of information. DNA carries genetic instructions. Proteins perform countless jobs inside cells. Researchers collect data from experiments, medical studies and observations of the natural world.

Bioinformatics helps turn these data into meaningful insights. It allows scientists to compare genetic sequences, study diseases, investigate evolution, identify possible drug targets and explore how biological systems work.

In simple terms, bioinformatics helps us move from biological data to information, from information to understanding, and from understanding to practical applications.

Bioinformatics complements laboratory experiments and clinical research; it does not replace the need for experimental validation or professional medical judgment.

Science with real-world impact

Small molecules. Big questions.

Bioinformatics connects biological discoveries with practical questions that affect health, agriculture, the environment and our understanding of life.

Decode the genome

Compare DNA sequences, identify genetic variations and investigate how genes relate to biological characteristics.

Understand disease

Help researchers investigate disease mechanisms, identify potential biomarkers and explore opportunities for better diagnostics.

Support drug discovery

Analyze biological targets, molecular interactions and experimental results to help prioritize promising candidates for further study.

Improve agriculture

Study plant and animal genomes to support research into crop resilience, agricultural productivity and biodiversity.

Explore ecosystems

Analyze environmental DNA and microbial communities to learn more about ecosystems and the organisms living within them.

Discover with AI

Combine biological knowledge with machine learning to recognize patterns, generate predictions and guide new research questions.

From the beginning to the AI era

One discipline. An expanding universe.

Bioinformatics has evolved alongside advances in computing, biological experiments, data infrastructure and artificial intelligence. These overlapping stages describe a broad progression rather than strict historical boundaries.

CHAPTER 01

Collect the data

Early bioinformatics emphasized collecting, organizing and sharing biological information. Researchers needed reliable ways to manage growing amounts of genetic data.

CHAPTER 02

Analyze the data

Algorithms and computing made it possible to compare sequences, recognize patterns and investigate questions that were difficult to answer manually.

CHAPTER 03

Connect the data

Large-scale sequencing, shared databases, open research resources and cloud computing expanded the possibilities for collaboration and discovery.

CHAPTER 04

Discover with AI

Modern AI can help interpret complex biological patterns, predict molecular structures and prioritize research directions. Results still require careful scientific evaluation.

What comes next?

The future lies not in replacing biology with algorithms, but in combining biological insight, high-quality data, computing and AI to ask better questions and accelerate discovery.

As data become more abundant, the quality of interpretation, reproducibility, privacy protection and responsible use of AI become increasingly important.

Your next chapter

Could bioinformatics be for you?

You do not need to be an expert in every subject to begin. Bioinformatics welcomes people who enjoy asking questions, solving problems and learning across traditional scientific boundaries.

🎓 For college and university students

Explore biology, genetics, introductory statistics, programming and data visualization. Start with small datasets and learn how to explain what your results mean biologically.

🔬 For early-career researchers

Build practical skills in sequence analysis, reproducible workflows, biological databases, statistical reasoning and collaborative research.

🧪 For experienced scientists

Extend existing expertise with computational approaches, data integration, multi-omics analysis and carefully validated AI-assisted methods.

💻 For computing and AI enthusiasts

Apply software engineering, algorithms, statistics and machine learning to biological questions. Develop an understanding of the science behind the data, not just the tools.

Skills worth developing

Biological fundamentals · Statistics · Programming · Data management · Critical thinking · Reproducibility · Scientific communication · Responsible AI

A historical milestone

The Bioinformatics & Genome Research conference series

A historical archive traces this international conference series to 1990. The first meetings brought together researchers working across biology, genome research, computing and related disciplines.

According to archives, Dr. Hwa A. Lim initiated the series and chaired its first ten conferences, from the inaugural meeting in 1990 through the tenth conference in 2001.

1990 First conference, held in Tallahassee, Florida
10 First ten conferences chaired by Dr. Hwa A. Lim
2001 Tenth conference and anniversary celebration

Conference dates and venues, 1990–2004

The table below follows the conference dates and locations listed in an archival historical timeline. The first three conferences were held biennially; the series became annual from 1995.

International Bioinformatics & Genome Research conference series, 1990–2004.
No. Dates Venue Chair
1st April 10–13, 1990 Florida State Conference Center, Tallahassee, Florida, USA Hwa A. Lim
2nd June 4–7, 1992 TradeWinds Hotel, St. Petersburg Beach, Florida, USA Hwa A. Lim
3rd June 1–4, 1994 Augustus Turnbull III Florida State Conference Center, Tallahassee, Florida, USA Hwa A. Lim
4th June 5–7, 1995 Hotel Nikko, San Francisco, California, USA Hwa A. Lim
5th June 10–11, 1996 Baltimore Inner Harbor Marriott, Baltimore, Maryland, USA Hwa A. Lim
6th June 11–12, 1997 The Fairmont Hotel, San Francisco, California, USA Hwa A. Lim
7th June 15–16, 1998 The Copley Plaza Hotel, Boston, Massachusetts, USA Hwa A. Lim
8th June 14–15, 1999 Hotel Nikko, San Francisco, California, USA Hwa A. Lim
9th June 19–20, 2000 Fairmont Hotel, San Francisco, California, USA Hwa A. Lim
10th June 17–19, 2001 Fairmont Hotel, San Francisco, California, USA Hwa A. Lim
11th June 4–5, 2002 Hilton San Diego Resort, San Diego, California, USA Dr. Lim served as a member of the Advisory Board.
12th June 16–17, 2003 San Diego Concourse and Civic Theatre, San Diego, California, USA Dr. Lim served as a member of the Advisory Board.
13th June 22–23, 2004 Fairmont Hotel, San Francisco, California, USA Dr. Lim served as a member of the Advisory Board.

Historical source: D’Trends — Timeline of Bioinformatics .

Dr. Hwa A. Lim, also known as 林華安博士
PHOTO LEGEND: Dr. Hwa A. Lim (林華安博士).
For his contributions in establishing and shaping the field of bioinformatics, Dr. Lim is referred to as the “Father of Bioinformatics” (生物信息之父).

His expertise, however, spans multiple disruptive technologies, high-level corporate governance, public policy, and popular science authorship.

Dr. Lim derived immense tactical and strategic advantages from being physically immersed in the hyper-innovative environment of Silicon Valley. His physical proximity to tech giants, alongside emerging biotech firms, provided him with a unique vantage point that fundamentally shaped his cross-disciplinary contributions. This geographic edge manifested across several key technologies and commercial domains.

Operating in a space where tech breakthroughs occur daily allowed him to absorb and anticipate industry trends in real-time. This rapid exchange of ideas heavily influenced his leadership and allowed him to bring together global minds, fueled by the open, collaborative, and compounding philosophy of innovation that defines Silicon Valley culture.
People behind the progress

Dr. Hwa A. Lim
林華安博士

A bioinformatics pioneer whose early work, historical writings, scientific publications and conference leadership form an important part of the discipline's development.

An archival timeline records that Dr. Lim anticipated the growing volume of genome data and began developing the terminology and international conference initiative that led to the first bioinformatics conference in 1990.

With support and advice from scientific colleagues, including Professor Charles R. Cantor, Professor Joseph E. Lannutti, Professor Sydney Brenner, Academician Alexandr Bayev, he convened and chaired the inaugural conference at Florida State University in April 1990.

He subsequently chaired the first ten conferences in the Bioinformatics & Genome Research series, culminating in the tenth conference at the Fairmont Hotel in San Francisco in June 2001.

“Father of Bioinformatics” (生物信息之父) A sobriquet associated with Dr. Lim in published profiles, news and scientific reports materials, reflecting his pioneering contributions.

“How Bioinformatics Came About” (生物信息之开始)
"I did not choose bioinformatics, circumstances chose me.
First of all, all things have to be situated - there have to be environments in which they can cause interactions and, so to speak, ask their own questions.
I was using supercomputers at von Newmann Center at Princeton, I was at a supercomputer institute with all the computing resources, the genome project was just beginning, I had the good fortune to meet, among others, Charles Cantor, James Watson, Sydney Brenner... The timing was ripe, and I was at the right place.
Whatever you want to claim, the truth is no genome project, no bioinformatics; no computing resources, no bioinformatics. That simple.
That was about 1986, 1987."
- Hwa A. Lim, at an interview about "Bioinformatics", San Jose, California, USA, May, 2012.

Explore the original material for more context about Dr. Lim's work, publications and historical perspective.

Read Dr. Hwa A. Lim's profile →

Explore the Chinese-language bioinformatics archive →
A moment in scientific history

Father’s Day, June 17, 2001

On Sunday, June 17, 2001, Dr. Hwa A. Lim delivered the opening remarks at the tenth Bioinformatics & Genome Research conference at the Fairmont Hotel in San Francisco, California.

His address reflected on the series' development since 1990 and welcomed participants to the tenth anniversary gathering.

I am most honored to open this bioinformatics conference on a Father’s Day Sunday. To be honest, I am myself very taken unexpectedly to see this auditorium of 750 filled to capacity.

Dr. Hwa A. Lim, opening remarks as Conference Chair
Bioinformatics & Genome Research, June 17, 2001
Fairmont Hotel, San Francisco, California, USA

Ideas worth sharing

The power of exchanging ideas

Scientific progress depends on more than data and technology. It also depends on collaboration, curiosity and the exchange of ideas.

If you have $10 and I have $10, you give me your $10 and I give you my $10, we each still have $10. There seems to be a ‘conservation of money’.

If you have an idea and I have an idea, you give me your idea and I give you my idea. We each now have two ideas. Thus ideas propagate and the number of ideas multiplies.

— Hwa A. Lim, opening remark, Bioinformatics and Genome Research, Inner Harbor Hotel, Baltimore, USA, 1996.

Ideas multiply through collaboration

The message is especially relevant to bioinformatics: biology, mathematics, computing and AI become more powerful when people share expertise and work together across disciplines.

Discover more quotations by Dr. Hwa A. Lim →
From conference to publication

Pathways of Bioinformatics: from data to diseases

The tenth conference also marked a publishing milestone. Selected lectures were compiled into a special issue of a scientific journal, helping bring conference contributions to a wider readership.

Pathways of Bioinformatics: from data to diseases

Guest Editor: Hwa A. Lim
Publication: Briefings in Bioinformatics
Volume: 3, Issue 1
Date: January 2002
Publisher: Henry Stewart Publishers, London, UK

The publication connects the conference's historical focus with a wider scientific journey: turning biological data into insights that may contribute to understanding disease.

Acknowledging a scientific community

In his February 2002 acknowledgment, Dr. Lim recognized Henry Stewart Publishers for making the publication possible, Cambridge Healthtech Institute for its logistical and financial support, colleagues who helped organize the conference, the conference advisory board, and the participants whose enthusiasm contributed to the series.

His acknowledgment provides a useful reminder: scientific progress is rarely the achievement of one person alone. It grows through the work of researchers, organizers, publishers, institutions and the wider scientific community.

Go deeper

Your bioinformatics learning journey starts here

Bioinformatics is too rich a subject to fit into one page. Continue exploring definitions, history, publications, lectures, interviews and specialist learning resources.

Frequently asked questions

Bioinformatics, explained

Straightforward answers for students, researchers and anyone curious about the science of biological data.

What is bioinformatics in simple terms?

Bioinformatics uses computers, mathematics, statistics and data analysis to organize and interpret biological information. It helps researchers understand genes, proteins, diseases, organisms and biological systems.

Why is bioinformatics important?

Modern biological research generates more data than people can reasonably analyze by hand. Bioinformatics helps organize these data, find patterns, test hypotheses and guide further scientific investigation.

How is AI changing bioinformatics?

AI and machine learning can help researchers identify patterns in large datasets, predict biological properties and prioritize experiments. Their predictions must be assessed for reliability, bias and biological validity.

Who can study bioinformatics?

Students and professionals from biology, medicine, biotechnology, computer science, mathematics, statistics and related fields can enter the discipline. The best starting point depends on each person's background and goals.

What careers can bioinformatics lead to?

Potential career paths include bioinformatics analyst, computational biologist, genomics researcher, biological data scientist, research software developer and scientist working in biotechnology or pharmaceutical research. Requirements vary by role and employer.

When and where was the first Bioinformatics & Genome Research conference held?

According to the D’Trends historical timeline, the first international bioinformatics conference was held April 10–13, 1990, at the Florida State Conference Center in Tallahassee, Florida, USA. Dr. Hwa A. Lim initiated and chaired the meeting.

What was Dr. Hwa A. Lim's role in the conference series?

The D’Trends archive identifies Dr. Hwa A. Lim as the initiator of the Bioinformatics & Genome Research conference series and the chair of its first ten conferences, from 1990 through 2001.

What happened at the tenth conference in 2001?

The tenth conference took place June 17–19, 2001, at the Fairmont Hotel in San Francisco, California. Dr. Lim delivered his opening remarks on Sunday, June 17, Father's Day, reflecting on the conference series and its growth since 1990.

What is the connection between bioinformatics and genome research?

Genome research studies the genetic material of organisms. Bioinformatics supplies essential methods for storing, comparing, analyzing and interpreting genome data.

The future is an open question

The next discovery could begin with your question.

Whether you are choosing a field of study, beginning a research project or exploring the possibilities of AI, bioinformatics offers a way to connect ideas, data and the living world.