Li Song

TL;DR: Centrifuge is a novel microbial classification engine that enables rapid, accurate, and sensitive labeling of reads and quantification of species on desktop computers and makes it possible to index the entire NCBI nonredundant nucleotide sequence database with an index size of 69 GB, in contrast to k-mer-based indexing schemes, which require far more extensive space.

TL;DR: A k-mer based method, Rcorrector, to correct random sequencing errors in Illumina RNA-seq reads, which has an accuracy higher than or comparable to existing methods, including the only other method (SEECER), and is more time and memory efficient.

TL;DR: ASprofile as mentioned in this paper identifies alternative splicing events in 16 different human tissues, which provide a dynamic picture of splicing variation across the tissues, and detects 26,989 potential exon skipping events representing differences in splicing patterns among the tissues.

TL;DR: Centrifuge is a novel microbial classification engine that enables rapid, accurate and sensitive labeling of reads and quantification of species on desktop computers and makes it possible to index the entire NCBI non-redundant nucleotide sequence database with an index size of 69 GB, in contrast to k-mer based indexing schemes, which require far more extensive space.

TL;DR: Lighter is a fast, memory-efficient tool for correcting sequencing errors that uses a pair of Bloom filters, one holding a sample of the input k-mers and the other likely to be correct, and is both faster and more memory- efficient than competing approaches while achieving comparable accuracy.