SCIENCE, MADE NAVIGABLE

Life is data.
Find the patterns.

A new way to navigate the science behind biological data. Explore the concepts, computational methods, and scientific resources that transform complex molecular information into meaningful biological understanding.

Enter the atlas Explore workflows

Built for curious minds, students,
and life science researchers.

FIELD NOTE 001 GENOMICS Explore the code of life ↗
FROM SEQUENCE TO INSIGHT
FIG. 01 / THE MOLECULAR LANDSCAPE
SCROLL TO EXPLORE 8 DISCIPLINES • INFINITE QUESTIONS
01 / THE PURPOSE

Not just information. A way to connect it.

Bioinformatics exists at the intersection of biology, computational science, and statistics. It provides the methods needed to organize, analyze, and interpret increasingly complex biological datasets.

BioInfSurvey transforms this interdisciplinary field into connected learning pathways, helping students, scientists, and researchers understand not only what a method does, but why it matters and how it contributes to biological discovery.

Discover the knowledge atlas
CONNECTING BIOLOGICAL KNOWLEDGE
GENOMICS COMPUTATION DATA SCIENCE
THE KNOWLEDGE ATLAS / 01

Choose your perspective.

Explore eight interconnected disciplines of bioinformatics, from genome sequencing and gene expression analysis to protein research, single-cell biology, and multi-omics. Each field reveals a different dimension of life.

08 FIELDS OF
EXPLORATION
SELECTED FIELD
01 / 08

Genomics

Genomics examines the structure, function, evolution, and variation of genomes. Computational methods support genome assembly, sequence annotation, comparative genomics, and variant analysis.

Genome assembly · Variant calling
Comparative genomics
SELECT AN ATLAS CARD ↑
THE ANALYSIS JOURNEY / 02

From raw data
to real understanding.

Follow the essential stages of a bioinformatics workflow. From data acquisition and quality control to computational analysis and interpretation, each stage contributes to the reliability and reproducibility of biological research.

STAGE 01 / 05

Start with a biological question.

Research begins with an appropriate experimental design. Biological specimens, sequencing experiments, and other molecular measurements produce datasets whose value depends on accurate metadata, provenance, and clearly defined scientific objectives.

KEY CONSIDERATIONS

Experimental design · Sample metadata · Data provenance

This represents a general analytical framework. Specific genomics, transcriptomics, proteomics, and single-cell workflows may require additional or different steps.

CURATED FIELD GUIDES / 03

Learn with depth.

Explore foundational concepts and essential methods in bioinformatics through accessible scientific guides, methodological explanations, and links to established research resources.

SCIENTIFIC LEARNING LIBRARY ↗
SELECTED GUIDE
001 / SEQUENCING

From sequencing reads to results

Explore the main analytical stages of an illustrative DNA sequencing workflow, including quality control, alignment, variant analysis, and interpretation. Appropriate methods depend on the sequencing assay and the research question.

THE RESEARCH COMPASS / 04

Good science
starts with good sources.

Reliable biological research depends on accessible, documented, and well-maintained scientific information. Explore established public databases for nucleotide sequences, genome assemblies, protein information, molecular structures, and gene expression datasets.

Explore NCBI
01

GenBank

Publicly available nucleotide sequences with associated biological annotations.

NCBI / NUCLEOTIDE DATABASE
02

European Nucleotide Archive

Sequencing reads, assembled sequences, and related experimental metadata.

EMBL-EBI / SEQUENCE ARCHIVE
03

UniProt

Protein sequences, functional annotation, and curated biological knowledge.

UNIPROT CONSORTIUM / PROTEIN INFORMATION
04

RCSB Protein Data Bank

Experimental three-dimensional structures of biological macromolecules.

WORLDWIDE PDB PARTNER / STRUCTURAL BIOLOGY
05

Gene Expression Omnibus

Functional genomics datasets, including gene expression studies and related metadata.

NCBI GEO / FUNCTIONAL GENOMICS
06

BioStudies / ArrayExpress

Access to functional genomics study information and associated research datasets.

EMBL-EBI / FUNCTIONAL GENOMICS
07

Ensembl

Genome browsers, comparative genomics, gene models, and variant resources.

EMBL-EBI & PARTNERS / GENOME RESOURCE

These external resources are maintained by their respective organizations. BioInfSurvey does not claim institutional affiliation with them.

EDITORIAL PHILOSOPHY / 05

Trust is something
you show.

Scientific credibility is built through transparent sources, accurate explanations, clearly stated limitations, and accountable editorial practices. These principles guide the development of BioInfSurvey as an educational reference for computational biology.

01 /

Traceable Sources

Scientific explanations should connect readers to original research publications, established biological databases, and authoritative technical documentation.

02 /

Clear Boundaries

Educational content should distinguish established scientific findings from hypotheses, computational predictions, methodological choices, and unresolved questions.

03 /

Living Knowledge

Bioinformatics evolves rapidly. Article update dates, documented corrections, and review of scientific developments help maintain useful educational content.

04 /

Useful Explanations

Methodological guides should explain the purpose, inputs, outputs, assumptions, limitations, and appropriate applications of computational techniques.

SCIENTIFIC
TRANSPARENCY

BioInfSurvey is intended as an educational resource. Its content should be evaluated alongside primary scientific literature and current technical documentation. Educational explanations do not replace independently validated laboratory procedures, clinical guidance, or professional scientific judgment. Unless explicitly identified and documented, content should not be interpreted as externally peer reviewed.

Building a more accountable knowledge library.

As BioInfSurvey develops, its editorial workflow should make the origin, preparation, review, and maintenance of scientific content visible to every reader.

Identifiable article authors and credentials
Original scientific references and citations
Visible publication and update dates
Documented correction and review procedures
Clear separation of educational and commercial content
THE BIOINFSURVEY STANDARD / EDITORIAL VISION
Evidence.

SOURCE → ANALYZE → EXPLAIN
REVIEW → IMPROVE

PERSONALIZED EXPLORATION / 06

Every discovery
begins with a direction.

Whether you're learning the foundations of bioinformatics or exploring computational research methods, choose a pathway that matches your scientific interests.

YOUR SCIENTIFIC PATHWAY / BIOINFSURVEY

Begin with the building blocks.

Explore DNA, RNA, proteins, biological databases, sequence alignment, and the scientific concepts that form the foundation of computational biology.

DNA & RNASequence AlignmentBiological Databases
THE SCIENTIFIC DICTIONARY / 07

Understand the language of life.

Explore essential bioinformatics terminology through concise scientific definitions. Search, filter, and expand the concepts that connect biological data to computational methods.

Genome Assembly

The computational reconstruction of longer genomic sequences from shorter or overlapping sequencing observations, often producing contigs and scaffolds.

GENOMICS

FASTQ Format

A text-based format commonly used to store sequencing reads and associated per-base quality scores.

SEQUENCING

Sequence Alignment

The arrangement of biological sequences to identify corresponding positions, similarities, differences, and potentially conserved regions.

DATA ANALYSIS

Single-Nucleotide Variant

A difference at a single nucleotide position between a sequence and a reference. Such variants may be common or rare within a population.

GENOMICS

Sequencing Depth

The number of sequencing observations covering a genomic position or region. Depth influences the evidence available for some downstream analyses.

SEQUENCING

Differential Expression

A statistical comparison used to identify genes or transcripts whose measured abundance differs between specified biological conditions.

DATA ANALYSIS

Reference Genome

A representative genome sequence assembly used as a common coordinate system for mapping reads, annotating genes, and comparing genetic variation.

GENOMICS

Functional Annotation

The process of associating biological sequences or features with potential functions using experimental evidence, computational predictions, and reference knowledge.

DATA ANALYSIS

Read Quality Score

A numerical representation of confidence in a sequenced base call, commonly expressed using a Phred-scaled quality score.

SEQUENCING

This is the introductory glossary. We can later create dedicated, internally linked definition pages with references, diagrams, examples, and related concepts.

THE NEXT DISCOVERY STARTS WITH A QUESTION / 08

Stay curious.
Go deeper.

From the first DNA sequence to complex molecular networks, scientific progress begins with curiosity. Explore the concepts, methods, and evidence that shape our understanding of life.

EXPLORE THE ATLAS Discover scientific resources →
BIOINFSURVEY / THE BIOINFORMATICS ATLAS SCIENCE IS A CONTINUOUS JOURNEY