Sequencing Technology

Biotechnology ◽  
2008 ◽  
pp. 193-226
Author(s):  
Lyle R. Middendorf ◽  
Patrick G. Humphrey ◽  
Narasimhachari Narayanan ◽  
Stephen C. Roemer
2020 ◽  
Vol 140 (1) ◽  
Author(s):  
Chiara Turchi ◽  
Filomena Melchionda ◽  
Mauro Pesaresi ◽  
Eleonora Ciarimboli ◽  
Carla Bini ◽  
...  

Author(s):  
Dong-Yu Kan ◽  
Su-Juan Li ◽  
Chen-Chen Liu ◽  
Ren-Rong Wu

Schizophrenia is a chronic and severe mental disorder with antipsychotics as primary medications, but the antipsychotic-induced metabolic side effects may contribute to the elevated risk of overall morbidity and mortality in patients with psych-iatric diseases. With the development in sequencing technology and bioinformatics, dysbiosis has been shown to contribute to body weight gain and metabolic dysfunction. However, the role of gut microbiota in the antipsychotic-induced metabolic alteration remains unknown. In this paper, we reviewed the recent studies of the gut microbiota with psychiatric disorders and antipsychotic-induced metabolic dysfunction. Patients with neuropsychiatric disorders may have a different composi-tion of gut microbiota compared with healthy controls. In addition, it seems that the use of antipsychotics is concurrently associated with both altered composition of gut microbiota and metabolic disturbance. Further study is needed to address the role of gut microbiota in the development of neuropsychiatric disorders and antipsychotic-induced metabolic disturbance, to develop novel therapeutics for both neuropsychiatric disorders and metabolic dysfunction.


RSC Advances ◽  
2021 ◽  
Vol 11 (41) ◽  
pp. 25484-25496
Author(s):  
Wei Zhou ◽  
Weiying Li ◽  
Jiping Chen ◽  
Yu Zhou ◽  
Zhongqing Wei ◽  
...  

Drinking water microbial diversity influence in full-scale water supply systems.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Alexandre Souvorov ◽  
Richa Agarwala

Abstract Background Illumina is the dominant sequencing technology at this time. Short length, short insert size, some systematic biases, and low-level carryover contamination in Illumina reads continue to make assembly of repeated regions a challenging problem. Some applications also require finding multiple well supported variants for assembled regions. Results To facilitate assembly of repeat regions and to report multiple well supported variants when a user can provide target sequences to assist the assembly, we propose SAUTE and SAUTE_PROT assemblers. Both assemblers use de Bruijn graph on reads. Targets can be transcripts or proteins for RNA-seq reads and transcripts, proteins, or genomic regions for genomic reads. Target sequences are nucleotide and protein sequences for SAUTE and SAUTE_PROT, respectively. Conclusions For RNA-seq, comparisons with Trinity, rnaSPAdes, SPAligner, and SPAdes assembly of reads aligned to target proteins by DIAMOND show that SAUTE_PROT finds more coding sequences that translate to benchmark proteins. Using AMRFinderPlus calls, we find SAUTE has higher sensitivity and precision than SPAdes, plasmidSPAdes, SPAligner, and SPAdes assembly of reads aligned to target regions by HISAT2. It also has better sensitivity than SKESA but worse precision.


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