SAMtools

Filtering and trimming of long read sequencing data.

This package can generate a synthetic map with reads covering the nucleosome regions as well as a synthetic map with forward and reverse reads emulating next-generation sequencing. The synthetic hybridization data of “Tiling Arrays” can also be generated. The user has choice between three different distributions for the read positioning: Normal, Student and Uniform. In addition, a visualization tool is provided to explore the synthetic nucleosome maps.

fastseg implements a very fast and efficient segmentation algorithm. It has similar functionality as DNACopy (Olshen and Venkatraman 2004), but is considerably faster and more flexible. fastseg can segment data from DNA microarrays and data from next generation sequencing for example to detect copy number segments. Further it can segment data from RNA microarrays like tiling arrays to identify transcripts. Most generally, it can segment data given as a matrix or as a vector. Various data formats can be used as input to fastseg like expression set objects for microarrays or GRanges for sequencing data. The segmentation criterion of fastseg is based on a statistical test in a Bayesian framework, namely the cyber t-test (Baldi 2001). The speed-up arises from the facts, that sampling is not necessary in for fastseg and that a dynamic programming approach is used for calculation of the segments' first and higher order moments.

Browser-based viewer that maps sequencing reads onto one short reference — an amplicon, gene or plasmid. Reads open as Sanger AB1/ABIF, SCF, FASTA, FASTQ or a SAM somebody else already mapped (gzipped files are unpacked in place); the reference as FASTA, GenBank or a read. Both read orientations are tried automatically. The pileup reports per-position depth, where reads disagree with the target, and the consensus — phred-weighted for capillary reads, which keep their chromatogram under the letters. An optional protein lane translates target and consensus side by side. Reads are placed by minimap2 compiled to WebAssembly, or by the built-in aligner. One read or the whole alignment saves as FASTA. Runs entirely in the browser — files are never uploaded.

This package provides a framework for the quantification and analysis of Short Reads. It covers a complete workflow starting from raw sequence reads, over creation of alignments and quality control plots, to the quantification of genomic regions of interest. Read alignments are either generated through Rbowtie (data from DNA/ChIP/ATAC/Bis-seq experiments) or Rhisat2 (data from RNA-seq experiments that require spliced alignments), or can be provided in the form of bam files.

Browser-based viewer for Sanger sequencing chromatograms in AB1/ABIF and SCF format, and for the .srd raw files of the Nanofor-05 capillary sequencer, converted to ABIF as they open. Shows raw and analysed traces, base calls (called or edited), per-base quality and the full ABIF directory, and puts two reads side by side with their tag tables aligned. A read aligns against a pasted or loaded reference, which reports identity, mismatches, indels and the ends that did not align, and flips the strand when the read is on the other one. End trimming (modified Mott or sliding window) has draggable handles, motif search is IUPAC-aware and finds primers, and QC metrics copy out as CSV. Drag on a trace to select a base range, then copy it as FASTA, zoom to it or export just that region. Exports the read as FASTA, FASTQ, .qual or ABIF and the chromatogram as a high-resolution PNG. Open files are kept as local sessions. Runs entirely in the browser — files are never uploaded.