Use when running iterative sequence-to-sequence HMMER searches to expand a protein family from one or a few seed sequences against a sequence database.
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 vimalinx/bio-agent에서 417개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
vimalinx/bio-agent수집된 skill 417개 중 40개를 표시합니다.
Use when running iterative sequence-to-sequence HMMER searches to expand a protein family from one or a few seed sequences against a sequence database.
원문 언어: 영어
Use when batching newline-separated IDs into fixed-size comma-separated groups for EDirect calls or other list-limited APIs.
원문 언어: 영어
Use when converting JSON documents into XML for downstream EDirect or XML-based processing.
원문 언어: 영어
Use when converting JSON Lines streams into XML fragments for downstream EDirect or XML-based processing.
원문 언어: 영어
Use when keeping only the first N query groups from a first-column-grouped tabular hit table.
원문 언어: 영어
Use when simulating stochastic folding kinetics of single-stranded nucleic acids, computing first passage times between structures, or analyzing RNA/DNA folding trajectories.
원문 언어: 영어
Use when simulating RNA folding kinetics during transcription to predict cotranscriptional folding pathways and transient intermediate structures.
원문 언어: 영어
Use when converting NCBI C toolkit BLAST command lines to NCBI C++ toolkit equivalents.
원문 언어: 영어
Use when you need to generate HTML links to UCSC Genome Browser from BED, GFF, or VCF feature files.
원문 언어: 영어
Use when performing multiple sequence alignment on nucleotide or protein sequences, such as preparing alignments for phylogenetic analysis or comparative genomics.
원문 언어: 영어
Use when creating BLAST databases from FASTA sequence files for use with blastn, blastp, blastx, or other BLAST search tools.
원문 언어: 영어
Use when building HMMER binary-formatted sequence databases from plain sequence files, especially for hmmpgmd-style serving or specialized accelerated workflows.
원문 언어: 영어
Use when you need to create a BLAST database index for faster search operations on BLAST databases.
원문 언어: 영어
Use when creating PSSM databases for rpsblast, cobalt, or deltablast searches. Formats position-specific scoring matrices into BLAST-compatible profile databases.
원문 언어: 영어
Use when you need to apply aggregation functions (sum, mean, count, etc.) to values from overlapping intervals in one file and map them onto intervals from another file.
원문 언어: 영어
Use when converting legacy MAQ long-map files into SAM for downstream SAMtools-compatible processing.
원문 언어: 영어
Use when converting legacy MAQ short-map files into SAM for downstream SAMtools-compatible processing.
원문 언어: 영어
Use when you need to hard-mask or soft-mask regions in a FASTA file using BED, GFF, or VCF coordinates, such as repetitive elements, blacklist regions, or loci to exclude from sequence analysis.
원문 언어: 영어
Use when hashing FASTA records and comparing ordered versus order-insensitive sequence digests instead of taking a single whole-file MD5.
원문 언어: 영어
Use when computing plain MD5 digests for files or stdin in lightweight HTSlib-based workflows without GNU md5sum features.
원문 언어: 영어
Use when merging overlapping or book-ended intervals in BED/GFF/VCF files into single intervals.
원문 언어: 영어
Use when you need to count read coverage from multiple BAM files across specific genomic regions defined in a BED, GFF, or VCF file.
원문 언어: 영어
Use when you need to identify overlapping genomic regions across multiple BED files simultaneously.
원문 언어: 영어
Use when you need to aggregate quality control reports from multiple bioinformatics tools into a single HTML report
원문 언어: 영어
Use when performing multiple sequence alignment of FASTA inputs, generating alignment ensembles, or calculating alignment confidence metrics.
원문 언어: 영어
Use when trying the `nhance.sh` shortcut wrapper around `nquire` for pathway, gene-to-pathway, LitVar, or citation-match lookups against NCBI-related endpoints.
원문 언어: 영어
Use when searching DNA or RNA queries against nucleotide sequence databases with HMMER's nucleotide homology search engine.
원문 언어: 영어
Use when scanning DNA or RNA sequences against a nucleotide profile HMM database such as Dfam to identify annotated families or repeated elements.
원문 언어: 영어
Use when converting legacy Novoalign text output into SAM, especially for unique alignments and optional paired-end interpretation.
원문 언어: 영어
Use when making raw HTTP, E-utilities, PubChem, datasets, or FTP requests through the low-level EDirect transport wrapper.
원문 언어: 영어
Use when profiling nucleotide content (AT/GC percentages, base counts) of genomic intervals against a FASTA reference.
원문 언어: 영어
Use when generating multiple candidate plans from a normalized request before the user approves execution.
원문 언어: 영어
Use when deciding whether a plan stage should continue automatically, pause for confirmation, or escalate because of risk.
원문 언어: 영어
Use when comparing candidate plans and explaining trade-offs so the user can select or modify a plan.
원문 언어: 영어
Use when incorporating user changes into a selected plan while preserving execution structure and validation semantics.
원문 언어: 영어
Use when turning a natural-language biology request into a structured request object before planning.
원문 언어: 영어
Use when resuming a paused or interrupted run from saved run state instead of regenerating the plan from scratch.
원문 언어: 영어
Use when expanding an approved plan into stage-by-stage candidate skills drawn from the local skill registry.
원문 언어: 영어
Use when checking whether a completed stage produced the artifacts and validation evidence required by the approved plan.
원문 언어: 영어
Use when turning a plain-text stream into adjacent lowercase word pairs for EDirect-style text mining, token-neighbor extraction, or lightweight bigram generation.
원문 언어: 영어