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  1. .... doi:10.1016/j.xgen.2024.100527 ↵de la Rubia I, Srivastava A, Xue W, Indi JA, Carbonell-Sala S, Lagarde J, Albà MM, Eyras E. 2022. RATTLE: reference-free reconstruction and quantification of transcriptomes from nanopore sequencing. Genome Biol 23: 153. doi:10.1186/s13059-022-02715-w ↵Dong X, Chen R...
  2. ...considering reads with detected barcodes. It is likely that allowing for barcode mismatches could lead to more ONT reads being retained, although that comes at the risk of introducing more inaccurate barcodes.Sequence comparison using reference-based and reference-free alignmentsOur downstream analysis mostly...
  3. ...or underway, including GEUVADIS (Lappalainen et al. 2013), GenomeTrakr (Timme et al. 2018), and MetaSUB (The MetaSUB International Consortium 2016). An overwhelming amount of public data is now available at EBI's European Nucleotide Archive (ENA) (Cook et al. 2019) and NCBI's Sequence Read Archive (SRA...
  4. ...reads analyzed with 21-mers, a sequencing error will disrupt 21 of the 80 k-mers in the read, except if the error is near the end of the read). The remaining k-mers will represent true genomic sequence.The second benefit is purely computational: Usually we analyze the k-mers that are the faithful...
  5. ...sequences that are aligned and on the same strand for clarity, but in real input data, neither is necessary. Split k-mers are used as keys, and their middle bases are stored in lists. This dictionary is compressed using snappy to make split k-mer files (SKFs). ska align makes reference-free alignments...
  6. ...clustering structurally diverse proteins.ggCaller improves functional interpretation in pan-wide association studiesggCaller supports querying of sequences of arbitrary length within an annotated DBG, enabling reference-free functional interpretation of sequence elements. This is useful when analyzing...
  7. ...precludes the straightforward application of existing tools (Alkan et al. 2011; Tattini et al. 2015). A typical assembly graph stores genomic subsequences k-mers as vertices and sequence overlaps (read-to-read alignments or k − 1 substring matches) as edges (Flicek and Birney 2009). Repeats longer than...
  8. ...for peptide identification. (E) Visualization of the new C. elegans gene F54D10.10 via the Integrative Genomics Viewer (IGV) (Thorvaldsdóttir et al. 2013) aligned to the C. elegans sequence. Presented are read coverage (gray peak track), ORF structure (black bar; thick bar represents translated region...
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