July 7, 2019  |  

Complete genome sequence of the endophytic bacterium Chryseobacterium indologenes PgBE177, isolated from Panax quinquefolius.

Chryseobacterium indologenes PgBE177, isolated from the root tissue of a 4-year-old Panax quinquefolius plant, showed antagonistic activity against Pseu- domonas syringae pv. tomato DC3000, a bacterial pathogen. Here, we report the whole-genome sequence of C. indologenes PgBE177. The bacterium contains bacteri- ocin gene clusters and has the potential to stimulate plant growth.

July 7, 2019  |  

Complete genome sequence of the Arcobacter molluscorum type strain LMG 25693.

As components of freshwater and marine microflora, Arcobacter spp. are often recovered from shellfish, such as mussels, clams, and oysters. Arcobacter mol- luscorum was isolated from mussels from the Ebro Delta in Catalonia, Spain. This ar- ticle describes the whole-genome sequence of the A. molluscorum strain LMG 25693T(= F98-3T= CECT 7696T).

July 7, 2019  |  

Complete genome sequence of Streptacidiphilus sp. strain 15-057A, obtained from bronchial lavage fluid.

Streptacidiphilus sp. strain 15-057A was isolated from a bronchial lavage sample and represents the only member of the genus not isolated from acidic soils. A single circular chromosome of 7.01?Mb was obtained by combining Illumina and PacBio sequencing data. Bioinformatic analysis detected 63 putative secondary biosynthetic gene clusters and recognized 43 transposons.

July 7, 2019  |  

BELLA: Berkeley Efficient Long-Read to Long-Read Aligner and Overlapper

De novo assembly is the process of reconstructing genomes from DNA fragments (reads), which may contain redundancy and errors. Longer reads simplify assembly and improve contiguity of the output, but current long-read technologies come with high error rates. A crucial step of de novo genome assembly for long reads consists of finding overlapping reads. We present Berkeley Long-Read to Long-Read Aligner and Overlapper (BELLA), which implement a novel approach to compute overlaps using Sparse Generalized Matrix Multiplication (SpGEMM). We present a probabilistic model which demonstrates the soundness of using short, fixed length k-mers to detect overlaps, avoiding expensive pairwise alignment of all reads against all others. We then introduce a notion of reliable k-mers based on our probabilistic model. The use of reliable k-mers eliminates both the k-mer set explosion that would otherwise happen with highly erroneous reads and the spurious overlaps due to k-mers originating from repetitive regions. Finally, we present a new method to separate true alignments from false positives depending on the alignment score. Using this methodology, which is employed in BELLAtextquoterights precise mode, the probability of false positives drops exponentially as the length of overlap between sequences increases. On simulated data, BELLA achieves an average of 2.26% higher recall than state-of-the-art tools in its sensitive mode and 18.90% higher precision than state-of-the-art tools in its precise mode, while being performance competitive.

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