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  1. ...scenarios in which d can be 10,000 or more. For example, the SILVA NR99 SSU reference database (510,508 sequences, 1.2 GB) spans 9118 distinct genera, which would require a document array profile structure >2 TB.Here, we develop new methods that drastically reduce the space usage. In so doing, we sacrifice...
  2. ...remains limited owing to dearth of subsequent proteogenomic consequences. To coalesce the genomic information embedded in exons with isoform sequences, we present an innovative framework, “Exon Nomenclature And Classification of Transcripts” (ENACT). This centralizes exonic loci such that protein sequence...
  3. ...TSS with another annotated isoform (Supplemental Fig. S5A). Additionally, TSS signals were detected in this region in the CAGE database (FANTOM6) (Supplemental Fig. S5B).View larger version: In this window In a new window Figure 3. scRaCH-seq reveals different SF3B1 isoform usage by CLL cells from...
  4. ...the effect of overexpressing human proteins, and testing functional consequences of rare variants of interest by generating analogous fly mutants to contribute to rare disease diagnosis. We argue that data obtained using Drosophila can be leveraged to design effective multiplexed assays for variant effects...
  5. ...-side operations are mainly handled by R. Data visualization and graphs are generated using the R/DT and R/plotly packages (Sievert 2020). MPRAbase is available online without fees for academic usage. The database is updated in regular 6-month intervals, as new MPRA studies become available, and have provided...
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  6. ...Complex Protein a (ICOPa; PTET.51.1.P0440186) and its closely related ohnolog ISWI1 Complex Protein b (ICOPb; PTET.51.1.P0180124), respectively.We checked if the candidate proteins have homologs that form ISWI complexes in other organisms (Dirscherl and Krebs 2004). Because HMMER3 Pfam database searches...
  7. ...memory requirements.DiscussionThe increasing size of public reference databases such as NCBI RefSeq makes metagenomic profiling and read classification a computationally challenging task. In particular, reducing memory usage has become an objective of many studies during the past few years. However...
  8. ...get lost over time because of genetic drift. Most human TEs are retrotransposons spreading by a copy-and-paste mechanism, be they LTR (long terminal repeat)-containing endogenous retroviruses (ERVs), long and short interspersed nuclear elements (LINEs and SINEs), or the composite SINE-variable number...
  9. ...the heterozygous condition in Deafness nonsyndromic autosomal dominant 2 (DFNA2) patients caused by KCNQ4 variants, we coexpressed loss-of-function variants with wild-type KCNQ4 and found 516 variants showed impaired or only partially rescued heterogeneous channel function. Overall, our functional classification...
  10. ...genes; however, its function, or absence thereof, is highly debated. The different outputs that mC can have raise questions as to how it is interpreted—or read—differently in these sequence and genomic contexts. To screen for potential mC-binding proteins, we performed an unbiased DNA affinity pull...
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