Cobertura
Smoothing
5
Colunas da tabela
Disponível após pesquisa
Browse list
Summaries (text)
Plain-text summary of every group in the current browse view.
Full info (XML)
XML with all groups, studies, DOIs, PMIDs and sample metadata.
— células
·
— amostras
·
— projetos
Genome Browser
Realize uma pesquisa para ver as faixas do genoma
Legenda:
Faixa de cobertura
enriquecido
depletado
Explore coverage
Enter a genomic region or DNA sequence to view per-position coverage as sortable, filterable tracks.
Entrar to search.
Enriquecimento
Salto rápido
Soltar arquivo FASTA
Solte um arquivo .fasta acima, ou
Sonda: 48 bp · Max: 10 Mb
Entrar
Coverage Explorer Help
Explorador de Cobertura
Inspect sequence coverage across samples and cell groups
Coverage searches split a genomic region or pasted sequence into probes, search them across Malva, and summarize signal by genomic position, sample, cell type, and selected metadata columns.
1
Start with a region or sequence
- Use Region / gene to enter coordinates such as chr11:67435510-67439682, or a gene name that resolves to coordinates.
- Use Sequence for custom DNA, pathogen sequence, variants, or FASTA input.
- The browser shows the selected locus; zoom or drag-select to refine the interval before searching.
2
Read the coverage table
- Each row is a grouped summary, usually cell type plus any visible metadata columns.
- The mini-track shows normalized coverage over the searched positions; smoothing affects display only.
- Cell count and sample count indicate support. Sort and filter before interpreting sparse patterns.
3
Use browser tracks and filters
- Click the track button in a row to add that group to the genome browser.
- Add metadata columns to compare organs, diseases, studies, or finer cell groups.
- Use enrichment as a quick screen for metadata values over-represented in high-coverage rows.
4
Export and cell-level workarounds
- Coverage exports are aggregate tracks, not a dedicated all-cells coverage endpoint.
- For a cell-level approximation, submit overlapping sliding-window probes with malva-client search_sequences(), then call retrieve_cells() on that search job.
- Fetch denominator cells separately with get_cells_by_metadata() when you need fractions or means including zeros.
Before trusting a coverage pattern
Check cell support
Check smoothing
Check filters
Compare browser tracks
Before you start
Malva is a free beta on shared academic servers. Keep these points in mind when you read results:
Limited computeMalva is provided at no cost for academics and runs on shared servers.
Limited sensitivityData come from 3' single-cell capture: many fusions and mutations located in 5' or mid-gene regions can be missed, and most captured RNA is polyadenylated — so some off-target signal is possible.
Limited coverageExplorer data is currently focused on human single-cell.
Limited AI capabilitiesAI-assisted search and interpretation may be incomplete or inaccurate on complex queries.
Detalhe
Soltar FASTA para pesquisar