Use when summarizing an RNA folding landscape by counting how many structures fall into each energy band, rather than enumerating individual folds one by one.
原文语言:英语
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Use when summarizing an RNA folding landscape by counting how many structures fall into each energy band, rather than enumerating individual folds one by one.
原文语言:英语
Use when computing optimal and suboptimal secondary structures for hybridization of two RNA strands, such as probe-target binding predictions.
原文语言:英语
Use when evaluating the free energy (kcal/mol) of an RNA secondary structure, calculating co-folding energies for two RNA strands, or analyzing consensus structures from multiple sequence alignments.
原文语言:英语
Use when predicting RNA secondary structures, calculating minimum free energy (MFE) folds, or computing partition functions and base pairing probabilities for RNA sequences.
原文语言:英语
Use when comparing, aligning, or computing similarity/distance between RNA secondary structures, or when generating multiple structure alignments with consensus prediction.
原文语言:英语
Use when computing RNA specific heat profiles from sequence data to analyze melting behavior and thermal stability across temperature ranges.
原文语言:英语
Use when searching for RNA sequences that fold into a predefined secondary structure, inverting RNA folding predictions to find sequences matching target bracket notation structures.
原文语言:英语
Use when predicting locally stable secondary structures from multiple sequence alignments of RNA
原文语言:英语
Use when computing locally stable RNA secondary structures with a maximal base pair span, scanning large genomes for short RNA structures, or predicting local RNA folding with Z-score filtering.
原文语言:英语
Use when analyzing RNA secondary structure landscapes to find local minima via gradient walks, generate barrier trees, or compute rates for kinetic modeling with treekin.
原文语言:英语
Use when predicting secondary structures and base pairing probabilities for multiple interacting RNA molecules
原文语言:英语
Use when performing pairwise structural alignments of RNA sequences that incorporate both sequence and structure information through base pair propensity vectors.
原文语言:英语
Use when converting legacy ViennaRNA 1.8.4 energy parameter files to the 2.0+ format used by modern ViennaRNA tools.
原文语言:英语
Use when calculating structure distances between thermodynamic ensembles of RNA secondary structures from sequence input.
原文语言:英语
Use when searching an RNA sequence for pseudoknot-forming interactions by combining local accessibility with interaction energy, especially when ordinary pseudoknot-free folding is insufficient.
原文语言:英语
Use when screening a small query RNA against longer target RNA sequences for inter-molecular hybridization sites, especially when optional RNAplfold accessibility profiles should influence the ranking.
原文语言:英语
Use when computing local RNA secondary structure pair probabilities, scanning large genomes for short stable RNA structures, or analyzing unpaired region probabilities across sliding windows.
原文语言:英语
Use when visualizing RNA secondary structures from dot-bracket notation or Stockholm alignments, generating structure diagrams, or creating annotated consensus structure plots.
原文语言:英语
Use when working with RNA soft constraints and need to compute pairing probabilities with position-specific perturbation minimization from the ViennaRNA package.
原文语言:英语
Use when building or reviewing an end-to-end RNA-seq workflow from raw reads through quantification, differential expression, and basic interpretation.
原文语言:英语
Use when searching target RNAs for interactions with a query H/ACA snoRNA, especially when the search should respect H/ACA-specific structural constraints and optionally use accessibility profiles.
原文语言:英语
Use when computing suboptimal RNA secondary structures within an energy range above the minimum free energy, or when sampling structures from the Boltzmann ensemble.
原文语言:英语
Use when calculating thermodynamics of RNA-RNA interactions, including accessibility and binding energy predictions for RNA duplex formation.
原文语言:英语
Use when turning `bcftools roh` output plus a VCF/BCF into an interactive HTML visualization of ROH segments and homozygosity rates.
原文语言:英语
Use when searching protein sequences against conserved domain databases like CDD using reverse position-specific BLAST
原文语言:英语
Use when searching nucleotide sequences against protein domain profile databases (PSSMs) to detect conserved domains via position-specific scoring.
原文语言:英语
Use when launching an NCBI converter binary through the `run-ncbi-converter` wrapper that downloads and caches the platform-specific executable on demand.
原文语言:英语
Use when batch-running `bcftools roh` across a directory of VCF, VCF.GZ, or BCF files and merging the resulting ROH calls across samples.
原文语言:英语
Use when wrapping a command in NCBI-style file locking so only one worker for a given lock base runs at a time.
原文语言:英语
Use when converting old `samtools pileup -c` output into VCF and filtering for SNP-only or indel-only calls.
原文语言:英语
Use when working with samtools.pl, a Perl CLI utility installed by the bioconda samtools package.
原文语言:英语
Use when working with SAM, BAM, or CRAM alignment files to sort, index, view, convert, or compute statistics.
原文语言:英语
Use when converting SCN-format records into XML for downstream EDirect or XML-based processing.
原文语言:英语
Use when identifying and masking low-complexity regions in protein sequences with the SEG algorithm before BLAST or other downstream analyses.
原文语言:英语
Use when populating an htslib/CRAM `REF_CACHE` directory from FASTA input or by scanning a directory tree for FASTA files.
原文语言:英语
Use when working with FASTA or FASTQ files for statistics, filtering, transformation, format conversion, searching, or set operations.
原文语言:英语
Use when doing lightweight FASTA/FASTQ transformations such as conversion, subsampling, subsequence extraction, trimming, or quick QC with seqtk.
原文语言:英语
Use when routing DNA, RNA, or protein sequence tasks to the core sequence-analysis commands that are actually installed in this workspace.
原文语言:英语
Use when you need to shift genomic intervals in BED/GFF/VCF files by a specified number of base pairs, either uniformly or strand-specifically.
原文语言:英语
Use when you need to randomly permute feature locations across a genome for statistical testing or generating null distributions.
原文语言:英语