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Gerador de sequência DNA / RNA

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ENTRADA

Operação

Input Sequence

Configurações de Geração

Sequence Length (bp)

GC Content %: 50 Target percentage of G and C bases in the generated sequence

Number of Sequences

Include IUPAC ambiguity codes (R, Y, S, W, K, M, N)

Output Settings

Formato de saída

FASTA Header Prefix

Used as the FASTA description prefix (e.g., > seq_1)

Line Wrap (chars)

Wrap output at this column (0 = no wrap)

SAÍDA

Lado cliente

Sequence Output

Propriedade	Valor
Sequences
Total Length (bp)
GC Content
AT/AU Content
Base Counts

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Guia

Gerador de sequência DNA / RNA

Generate random DNA and RNA sequences with precise GC content, batch them into FASTA files, and convert between strands without leaving the browser. Built for students, bioinformatics tinkerers, and developers who need quick test data with statistical control that text-based AI assistants cannot reliably provide.

Como usar

Pick an operation — generate random DNA or RNA, or transform an existing sequence (complement, reverse complement, transcribe, or reverse transcribe).
For generation, set the sequence length, target GC content slider, and number of sequences for batch output. Toggle IUPAC ambiguity codes if you need degenerate positions.
For conversion, paste the input sequence — FASTA headers, whitespace, and digits are stripped automatically.
Choose the output format (plain or FASTA) and a line-wrap width, then click Gere. The stats table shows live GC%, AT/AU%, and per-base counts.
Copy or download the result as a .fasta arquivo.

Características

Six operating modes – Random DNA, Random RNA, Complement, Reverse Complement, DNA → RNA Transcription, and RNA → DNA Reverse Transcription.
Exact GC content control – Choose any target from 0% to 100%; the generator places the precise number of G/C bases and shuffles them across the strand.
Geração em lote – Produce up to 50 independent sequences in a single click for replicate experiments or test datasets.
FASTA output – Auto-numbered headers (>seq_1 length=100) with configurable prefix and line wrapping at any width up to 200.
IUPAC ambiguity codes – Optional injection of degenerate bases (R, Y, S, W, K, M, N) for primer design and multi-allele scenarios.
Live sequence statistics – Total length, GC%, AT/AU%, and per-base counts update with every change.
Puro lado do cliente – Sequences are generated in your browser — nothing is uploaded or logged.

 Perguntas frequentes

What is GC content and why does it matter?

GC content is the percentage of guanine (G) and cytosine (C) bases in a nucleic acid molecule. Because G–C pairs share three hydrogen bonds compared with two for A–T pairs, regions with higher GC content have a higher melting temperature and greater structural stability. GC content also varies systematically across organisms and genomic regions, so controlling it is important when designing primers, generating realistic synthetic data, or modeling specific taxa.
What is the difference between a complement and a reverse complement?

The complement of a strand replaces each base with its Watson–Crick partner (A↔T, G↔C, A↔U for RNA) while preserving the 5′ to 3′ reading direction. The reverse complement does the same base substitution and then reverses the string so that it represents the actual sequence of the antisense strand read 5′ to 3′. Reverse complement is what biologists usually want when pulling the opposing strand from a double-stranded molecule.
How does transcription differ from reverse transcription?

Transcription is the biological process of copying a DNA template into RNA, which mechanically corresponds to swapping each thymine (T) for uracil (U). Reverse transcription is the opposite — converting an RNA molecule back into complementary DNA (cDNA) by replacing each U with T. Real cells use enzymes (RNA polymerase and reverse transcriptase) for these conversions; the sequence-level transformation is a simple character swap.
What are IUPAC ambiguity codes used for?

The IUPAC nucleotide codes are single-letter symbols that represent positions where more than one base may occur. R stands for purine (A or G), Y for pyrimidine (C or T/U), S for strong (G or C), W for weak (A or T/U), K for keto (G or T/U), M for amino (A or C), and N for any base. They are commonly used in primer design, consensus motifs, and multiple sequence alignments where positions are degenerate or unknown.
What is FASTA format?

FASTA is a plain-text format for representing nucleotide or protein sequences. Each entry begins with a single description line that starts with a greater-than symbol (>), followed by an identifier and optional metadata, and is then followed by one or more lines of sequence characters. Sequences are typically wrapped at 60 or 80 characters per line. FASTA is the lingua franca of bioinformatics tooling because it is human-readable and trivially parseable.