Relevant bibliographies by topics / PiCRUST

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Academic literature on the topic 'PiCRUST'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "PiCRUST"

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Fan, Xiao-Yan, Jing-Feng Gao, Kai-Ling Pan, Ding-Chang Li, and Hui-Hui Dai. "Temporal dynamics of bacterial communities and predicted nitrogen metabolism genes in a full-scale wastewater treatment plant." RSC Advances 7, no. 89 (2017): 56317–27. http://dx.doi.org/10.1039/c7ra10704h.

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Kanji, Farhaan, Himanshi Khurana, Caitlin Sherry, and Evangeline Ng. "A simulated metagenomic analysis of the gut microbiota of Anorexia Nervosa patients using PICRUSt." STEM Fellowship Journal 3, no. 2 (December 1, 2017): 1–3. http://dx.doi.org/10.17975/sfj-2017-012.

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Introduction Mack et al. (2016) studied the fecal bacteria and archaea of 55 European normal-weight participants (NW), 55 European patients with anorexia nervosa (ANT1), and 44 ANT1 patients following a body mass index increase (ANT2). Spreadsheets of identified microbes and their relative abundance per patient were uploaded to the EBI Metagenomics web server by Mack et al. We aimed to further study the functions of the identified microbes using the PICUSt algorithm (Langille, 2013) and see if these functions are consistent with published literature. Methods Spreadsheets were downloaded from EBI Metagenomics (Project# ERP012549) in JSON Biom format and uploaded to a Galaxy cloud server hosting PICRUSt. All data transformations can be viewed at http://huttenhower.sph.harvard.edu/galaxy/u/farhaansgroup/h/anorexi-astem-2017 . Transformed datasets were downloaded, appended with a .biom file extension, converted to the SPF format using STAMP v2.1.3 (Parks, 2014), and merged into a single file using Microsoft Excel for analysis with STAMP. Differences in propionate metabolism between ANT1, ANT2, and NW samples was chosen for further study. Results & Discussion The proportion of propionate metabolism genes was not significantly different between ANT1 and NW samples (p=0.08), but was different between ANT2 and NW samples (p=0.01) using a pair-wise Welsh’s t-test (0.95 CI) with a Storey FDR multiple test correction. In comparison, Mack et al, detected no differences in propionate concentration between AN and NW fecal samples using gas chromatography while Morito et al (2015) found lower concentrations of propionate in Japanese AN versus NW fecal samples using liquid chromatography. Our discrepancy with Mack et al could have arisen since PICRUSt cannot analyze the genes of eukaryotes, PICRUSt is limited by the depth and breadth of the gene annotations in the KEGG database, and our experimental setup cannot provide data on gene expression. Moreover, 18% of V4 16S rRNA DNA sequences could not be matched to any bacteria or archaea by EBI Metagenomics. In conclusion, while in silico experiments can be useful to predict microbial functions in a sample, in this case, our PICRUSt-based hypothesis that fecal samples from Mack et al would have different concentrations of propionate between AN and NW samples was not borne out by Mack et al’s chromatography experiments. Nonetheless, the conflicting findings between us, Mack et al, and Morito et al warrants further research on whether microbes mediate carbohydrate metabolism differently in patients with a history of anorexia nervosa versus controls.
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LeBrun, Erick S., and Sanghoon Kang. "A comparison of computationally predicted functional metagenomes and microarray analysis for microbial P cycle genes in a unique basalt-soil forest." F1000Research 7 (February 12, 2018): 179. http://dx.doi.org/10.12688/f1000research.13841.1.

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Here we compared microbial results for the same Phosphorus (P) biogeochemical cycle genes from a GeoChip microarray and PICRUSt functional predictions from 16S rRNA data for 20 samples in the four spatially separated Gotjawal forests on Jeju Island in South Korea. The high homogeneity of microbial communities detected at each site allows sites to act as environmental replicates for comparing the two different functional analysis methods. We found that while both methods capture the homogeneity of the system, both differed greatly in the total abundance of genes detected, as well as the diversity of taxa detected. Additionally, we introduce a more comprehensive functional assay that again captures the homogeneity of the system but also captures more extensive community gene and taxonomic information and depth. While both methods have their advantages and limitations, PICRUSt appears better suited to asking questions specifically related to microbial community P as we did here. This comparison of methods makes important distinctions between both the results and the capabilities of each method and can help select the best tool for answering different scientific questions.
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Agrawal, Shelesh, Co Thi Kinh, Thomas Schwartz, Masaaki Hosomi, Akihiko Terada, and Susanne Lackner. "Determining uncertainties in PICRUSt analysis – An easy approach for autotrophic nitrogen removal." Biochemical Engineering Journal 152 (December 2019): 107328. http://dx.doi.org/10.1016/j.bej.2019.107328.

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Luo, Yiting, Fangyuan Zhu, Jiaqian Wu, Jin Wu, Pei Wu, and Yingchao Liu. "Effect of Shenling Baizhu San on Intestinal Flora in a Rat Model of Ulcerative Colitis with Spleen Deficiency and Dampness." Evidence-Based Complementary and Alternative Medicine 2022 (February 12, 2022): 1–24. http://dx.doi.org/10.1155/2022/9985147.

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Objective. Shenling Baizhu San (SLBZS) is reported as an effective drug for ulcerative colitis (UC); however, its effect on intestinal flora remains unknown. In this study, we investigated the effect of SLBZS on intestinal flora in a rat model of UC with spleen deficiency and dampness. Methods. UC was induced in rats using 2,4,6-trinitrobenzene sulfonic acid on the basis of a model of spleen deficiency and dampness. The 16S rDNA sequencing was used to detect structural changes in the intestinal flora; the phylogenetic investigation of communities by reconstruction of unobserved state (PICRUSt) analysis was used to predict the altered pathways. Results. Compared with the model group, rats in the SLBZS group exhibited decreased levels of TNF-α P < 0.05 , and increased abundance and diversity of the intestinal flora. The abundance of Actinobacteria P < 0.001 and Bacteroides P < 0.01 increased and that of Firmicutes decreased P < 0.001 , and the abundance of Bifidobacterium P < 0.05 and Allobaculum increased. PICRUSt analysis showed that the altered pathways between the groups were those of fatty acid and antibiotic biosynthesis, amino acid metabolism, and the pentose phosphate pathway. Conclusions. SLBZS can regulate the structure and function of the intestinal flora, alter expression levels of certain metabolic pathways, and has the potential to treat UC.
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Yin, Yanan, and Jianlong Wang. "Predictive functional profiling of microbial communities in fermentative hydrogen production system using PICRUSt." International Journal of Hydrogen Energy 46, no. 5 (January 2021): 3716–25. http://dx.doi.org/10.1016/j.ijhydene.2020.10.246.

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Xu, Letian, Liuwei Sun, Shihan Zhang, Shanshan Wang, and Min Lu. "High-Resolution Profiling of Gut Bacterial Communities in an Invasive Beetle using PacBio SMRT Sequencing System." Insects 10, no. 8 (August 14, 2019): 248. http://dx.doi.org/10.3390/insects10080248.

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Dendroctonus valens, an invasive bark beetle, has caused severe damage to Chinese forests. Previous studies have highlighted the importance of the gut microbiota and its fundamental role in host fitness. Culture-dependent and culture-independent methods have been applied in analyzing beetles’ gut microbiota. The former method cannot present a whole picture of the community, and the latter mostly generates short read lengths that cannot be assigned to species. Here, the PacBio sequencing system was utilized to capture full-length 16S rRNA sequences in D. valens gut throughout its ontogeny. A total of eight phyla, 55 families, 102 genera, and 253 species were identified. Bacterial communities in colonized beetles have the greatest richness but the lowest evenness in all life stages, which is different from those in young larvae. Pseudomonas sp., Serratia liquefaciens possess high abundance throughout its ontogeny and may serve as members of the core bacteriome. A phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis predicted that gut microbiota in larvae are rich in genes involved in carbohydrate, energy metabolism. Gut microbiota in both larvae and colonized beetles are rich in xenobiotics and terpenoids biodegradation, which are decreased in dispersal beetles. Considering that the results are based mainly on the analysis of 16S rRNA sequencing and PICRUSt prediction, further confirmation is needed to improve the knowledge of the gut microbiota in D. valens and help to resolve taxonomic uncertainty at the species level.
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Gressel, Gregory M., Mykhaylo Usyk, Marina Frimer, D. Y. S. Kuo, and Robert D. Burk. "Characterization of the endometrial, cervicovaginal and anorectal microbiota in post-menopausal women with endometrioid and serous endometrial cancers." PLOS ONE 16, no. 11 (November 5, 2021): e0259188. http://dx.doi.org/10.1371/journal.pone.0259188.

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Objective To characterize the microbiota of postmenopausal women undergoing hysterectomy for endometrioid (EAC) or uterine serous cancers (USC) compared to controls with non-malignant conditions. Methods Endometrial, cervicovaginal and anorectal microbial swabs were obtained from 35 postmenopausal women (10 controls, 14 EAC and 11 USC) undergoing hysterectomy. Extracted DNA was PCR amplified using barcoded 16S rRNA gene V4 primers. Sequenced libraries were processed using QIIME2. Phyloseq was used to calculate α- and β- diversity measures. Biomarkers associated with case status were identified using ANCOM after adjustment for patient age, race and BMI. PICRUSt was used to identify microbial pathways associated with case status. Results Beta-diversity of microbial communities across each niche was significantly different (R2 = 0.25, p < 0.001). Alpha-diversity of the uterine microbiome was reduced in USC (Chao1, p = 0.004 and Fisher, p = 0.007) compared to EAC. Biomarkers from the three anatomical sites allowed samples to be clustered into two distinct clades that distinguished controls from USC cases (p = 0.042). The USC group was defined by 13 bacterial taxa across the three sites (W-stat>10, FDR<0.05) including depletion of cervicovaginal Lactobacillus and elevation of uterine Pseudomonas. PICRUSTt analysis revealed highly significant differences between the USC-associated clades within the cervicovaginal and uterine microbiota. Conclusions The microbial diversity of anatomic niches in postmenopausal women with EAC and USC is different compared to controls. Multiple bacteria are associated with USC case status including elevated levels of cervicovaginal Lactobacillus, depletion of uterine Pseudomonas, and substantially different functional potentials identified within cervicovaginal and uterine niches.
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Li, Yao, Hai-Fang Wang, Xin Li, Hai-Xia Li, Qiong Zhang, Hong-Wei Zhou, Yan He, et al. "Disordered intestinal microbes are associated with the activity of Systemic Lupus Erythematosus." Clinical Science 133, no. 7 (April 2019): 821–38. http://dx.doi.org/10.1042/cs20180841.

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Abstract Intestinal dysbiosis is implicated in Systemic Lupus Erythematosus (SLE). However, the evidence of gut microbiome changes in SLE is limited, and the association of changed gut microbiome with the activity of SLE, as well as its functional relevance with SLE still remains unknown. Here, we sequenced 16S rRNA amplicon on fecal samples from 40 SLE patients (19 active patients, 21 remissive patients), 20 disease controls (Rheumatoid Arthritis (RA) patients), and 22 healthy controls (HCs), and investigated the association of functional categories with taxonomic composition by Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). We demonstrated SLE patients, particularly the active patients, had significant dysbiosis in gut microbiota with reduced bacterial diversity and biased community constitutions. Amongst the disordered microbiota, the genera Streptococcus, Campylobacter, Veillonella, the species anginosus and dispar, were positively correlated with lupus activity, while the genus Bifidobacterium was negatively associated with the disease activity. PICRUSt analysis showed metabolic pathways were different between SLE and HCs, and also between active and remissive SLE patients. Moreover, we revealed that a random forest model could distinguish SLE from RA and HCs (area under the curve (AUC) = 0.792), and another random forest model could well predict the activity of SLE patients (AUC = 0.811). In summary, SLE patients, especially the active patients, show an apparent dysbiosis in gut microbiota and its related metabolic pathways. Amongst the disordered microflora, four genera and two species are associated with lupus activity. Furthermore, the random forest models are able to diagnose SLE and predict disease activity.
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Kuballa, Anna, Marco Geraci, Meredith Johnston, and Dario Sorrentino. "The Gut Microbial Profile of Preclinical Crohn’s Disease Is Similar to That of Healthy Controls." Inflammatory Bowel Diseases 26, no. 11 (April 27, 2020): 1682–90. http://dx.doi.org/10.1093/ibd/izaa072.

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Abstract Background and Aims It is unclear whether microbial dysbiosis plays an etiologic role in Crohn’s disease (CD) or is the result of protracted inflammation. Here, we test the hypothesis that dysbiosis predates clinical CD in asymptomatic first-degree relatives (FDRs) of CD patients: normal (FDR1), with borderline inflammation (FDR2), and with frank, very early inflammation (FDR3). Methods The gut microbial diversity was tested in ileocecal biopsies through next generation sequencing of the 16S rRNA gene in 10 healthy controls (HCs), 22 patients with active, untreated CD, and 25 FDRs (9 FDR1; 12 FDR2; 4 FDR3). The metagenomic functions of 41 microbiome-related processes were inferred by Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) analysis. Results Compared with HCs, alpha diversity in CD patients was decreased, with an observed decrease in Faecalibacterium prausnitzii and increase in Bacteroides fragilis. In FDRs, microbial diversity was unchanged compared with HCs. In Operational Taxonomic Units and PICRUSt Principal coordinates and component analyses, the ellipse centroid of FDRs was diagonally opposed to that of CD patients, but close to the HC centroid. In both analyses, statistically significant differences in terms of beta diversity were found between CD and HC but not between FDR and HC. Conclusions In FDRs (including FDR3—who bear preclinical/biologic onset disease), we found that the microbial profile is remarkably similar to HC. If confirmed in larger studies, this finding suggests that clinical CD-associated dysbiosis could result from the changed microenvironment due to disease evolution over time.
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Dissertations / Theses on the topic "PiCRUST"

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Robinson, David Michael. "Microbial and CO2 Responses to Water Stresses Show Decreased Productivity and Diversity Through Time." BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/6830.

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Some bacterial taxa when stimulated by water additions will break dormancy, grow, and become dominant members of the community and contribute significant pulses of CO2 associated with the rewetting event. These pulses of activity are associated with high levels of bacterial productivity in soils. (Aanderud et al. 2011) We examined the bacterial taxa that resuscitate and become metabolically active following two forms of water stress (soil drying-rewetting and freeze-thaw cycles) and we captured and measured the CO2 emanating from those soils. Specifically, We used target metagenomics, which uses a specific gene pool within bacteria that is associated with a function of an ecological process, in this case active (16S rRNA communities) bacteria and all bacteria (16S rRNA communities) during drying-rewetting and freeze-thaw cycles. We measured an array of community dynamics (i.e., evenness, richness, diversity, relative abundance of taxa, and network analyses between taxa) as dry soils are rewetted and as frozen soils thaw multiple times in three cold desert soils. Soils from all three locations exhibited some similar bacterial taxa and gene function but were large in part their own community derived from the evolutionary history of the continent in which they reside.
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Luo, Yuheng, Ling Zhang, Hua Li, Hauke Smidt, Andre-Denis G. Wright, Keying Zhang, Xuemei Ding, et al. "Different Types of Dietary Fibers Trigger Specific Alterations in Composition and Predicted Functions of Colonic Bacterial Communities in BALB/c Mice." FRONTIERS MEDIA SA, 2017. http://hdl.handle.net/10150/624217.

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Soluble dietary fibers (SDF) are fermented more than insoluble dietary fibers (IDF), but their effect on colonic bacterial community structure and function remains unclear. Thus, bacterial community composition and function in the colon of BALB/c mice (n = 7) fed with a high level (approximately 20%) of typical SDF, oat-derived beta-glucan (G), microcrystalline cellulose (M) as IDF, or their mixture (GM), were compared. Mice in group G showed a lowest average feed intake (p < 0.05) but no change on the average body weight gain (p > 0.05) compared to other groups, which may be associated with the highest concentration of colonic propionate (p < 0.05) in these mice. The bacterial alpha-diversity of group G was significantly lower than other groups (p < 0.01). In group G, the relative abundance of bacteria belonging to the phylum Bacteroidetes was significantly increased, whereas bacteria from the phylum Firmicutes were significantly decreased (p < 0.01). The core bacteria for different treatments showed distinct differences. Bacteroides, Dehalobacterium, and Prevotella, including known acetogens and carbohydrate fermenting organisms, were significantly increased in relative abundance in group G. In contrast, Adlercreutzia, Odoribacter, and Coprococcus were significantly more abundant in group M, whereas Oscillospira, Desulfovibrio, and Ruminoccaceae, typical hydrogenotrophs equipped with multiple carbohydrate active enzymes, were remarkably enriched in group GM (p < 0.05). The relative abundance of bacteria from the three classes of Proteobacteria, Betaproteobacteria, Gammaproteobacteria (including Enterobacteriaceae) and Deltaproteobacteria, were significantly more abundant in group G, indicating a higher ratio of conditional pathogenic bacteria in mice fed dietary beta-glucan in current study. The predicted colonic microbial function showed an enrichment of "Energy metabolism" and "Carbohydrate metabolism" pathways in mice from group G and M, suggesting that the altered bacterial community in the colon of mice with the two dietary fibers probably resulted in a more efficient degradation of dietary polysaccharides. Our result suggests that the influence of dietary beta-glucan (SDF) on colonic bacterial community of mice was more extensively than MCC (IDF). Co-supplementation of the two fibers may help to increase the bacterial diversity and reduce the conditional pathogens in the colon of mice.
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Bieliková, Michaela. "Bioinformatický nástroj pro odhad abundance bakteriálních funkčních molekul v biologických vzorcích na základě metagenomických dat 16S rRNA." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403164.

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Ľudské telo je prostredím pre život neuveriteľného množstva mikróbov. Niektoré z nich môžu spôsobovať rôzne choroby, ale ďalšie, napríklad črevný mikrobióm, sú pre život a zdravie človeka nepostrádateľné. Nanešťastie, črevný mikrobióm nie je detailne preštudovaný, pretože obsahuje tisíce rôznych druhov baktérií, z ktorých väčšina sa nedá kultivovať v laboratórnych podmienkach. Riešením tohto problému sú nové rýchle metódy sekvenovania v kombináciou s bioinformatickými nástrojmi na výpočet funkčného profilu baktérií vo vzorke. V tejto práci si predstavíme existujúce nástroje predpovedajúce funkčný profil, a následne navrhneme nový nástroj, ktorý môže implementovať konsenzus nad výsledkami existujúcich nástrojov, alebo sa môže jednať o úplne nový nástroj.
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Hariharan, Janani. "Predictive Functional Profiling of Soil Microbes under Different Tillages and Crop Rotations in Ohio." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1435856176.

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ANCONA, GIUSEPPE. "ROLE OF CART ON GUT MICROBIAL DYSBIOSIS, STUDYING THE GUT/BLOOD MICROBIOTA DURING THE FIRST TWO YEARS OF SUPPRESSIVE CART." Doctoral thesis, Università degli Studi di Milano, 2019. http://hdl.handle.net/2434/628966.

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ROLE OF CART ON GUT MICROBIAL DYSBIOSIS, STUDYING THE GUT/BLOOD MICROBIOTA DURING THE FIRST TWO YEARS OF SUPPRESSIVE CART BACKGROUND Microbial dysbiosis features HIV+ individuals, both naïve and cART-treated, and is linked to anatomical/structural changes in the gastrointestinal (GI) tract, leading to microbial translocation (MT) and immune activation. Given that data on microbiota modifications during long-term therapy are lacking, we investigated gut/blood microbiota during the first 2 years of suppressive cART. METHODS We enrolled 138 HIV+ subjects. Plasma was collected at baseline (T0) and following 12 (T12) and 24 months (T24) of cART. CD8+ T-cell activation (CD38+; CD38+CD45R0+), MT (sCD14 and EndocAb) and GI damage (IFAB-P) were studied. In a sub-group of 41 patients (pts) we also evaluated GI permeability (urinary LAC/MAN test), inflammation (faecal calprotectin), 16SDNA (MT marker) and gut persistence score, metagenomic function analysis (Picrust) as well as peripheral and faecal microbiota (DNA extraction and 16S Metagenomic Sequencing; MiSeq Illumina®). For the microbiota analyses we enrolled 15 HIV- subjects as controls. All groups were analysed by Wilcoxon test, Kruskal-Wallis test and Permanova analysis. RESULTS 88% were male, 65% MSM, 6% HCV+; median age, CD4+ count, HIV RNA and duration of infection were respectively 38 years, 312/mmc, 5.03 log10cp/mL and 11.5 months. Following cART we registered a reduction of activated and activated/memory CD+8 T-cells (both with p<0.0001), an increase of EndoCab levels (p<0.0001) yet no significant changes in plasma sCD14. In contrast, an increase of I-FABP (p<0.0001) vis- à -vis a reduction of LAC/MAN test (p=0.03) and faecal calprotectin (p=0.01) were found. In faeces, cART resulted in a limited modification of the relative abundance of the microbiota, however differences between pts and controls were detected in the Firmicutes, Bacteroidetes and Actynobacteria phyla. Alpha-diversity showed higher richness in HIV+ vs controls (observed: p=0.006; Chao1: p=0.002) and these differences were maintained at T12 and T24. PCoA plot analyses showed a trend to the separation of pts and controls at all time-points yet the latter overlapped regardless of treatment status and length of cART. Lefse analyses (LDS >2.0) in HIV+ showed a significant increase of Veillonellaceae at T12 (p=0.007) and T24 (p=0.001) Desulfovibrionaceae at T24 (p=0.022) and Prevotellaceae at T24 (p=0.018). Further, many differences between pts and controls was detected in HIV+ . This persistent dysbiosis was associated with the continuous mucosal damage, despite cART introduction: I-FABP were positively correlated with Veillonellaceae both at T12 (r2=0.197; p=0.030;) and T24 (r2=0.156; p=0.017). Interestingly, when we stratified patients according to cART regimens, we found that only NNRTI-based therapy significantly reduced richness (observed: p=0.038; Chao1: p=0.006), but not evenness indexes over time. Furthermore, the relative abundance analyses showed a different profile at both family and genus levels, with NNRTI-based regimens significantly reducing the families of Coriobacteriaceae, Peptococcaceae and increasing the Veillonellaceae family. On the opposite, INSTI-based regimens resulted in decreased Peptococcaceae and increased Veillonellaceae families, as well as in higher Allisonella genus. No major effects following PI-based regimens were detected; no modifications about gut persistence score analysis as well as predicted functional metagenomic pathway analysis were found. Plasma microbiota analyses revealed no major changes of relative abundance parameters during cART and in comparison with uninfected controls. Decreased alpha-diversity was nonetheless found in HIV+ compared to controls (Shannon: p=0.02, Simpson: p=0.009) and persisted both at T12 and T24. CONCLUSIONS HIV-related modifications of the microbiota occur within the GI tract and not in the blood and are minimally affected by long-term effective cART, despite evidence of the containment of gut inflammation. These data suggest the ability of the virus to irreversibly impact the microbiological core of chronically-infected individuals.
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Möll, Theodor, and Joakim Arnberg. "Communication Over Virus-Induced Distance : A Qualitative Study on the Implications of English Language Teaching During the COVID-19 Pandemic." Thesis, Högskolan i Halmstad, Akademin för lärande, humaniora och samhälle, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44593.

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As a result of the COVID-19 pandemic, educators across the world saw a sudden shifttowards conducting their teaching online. As research has revealed that interpersonalcommunication is among the most impacted areas of education, this study aims to investigatehow English language teachers in Sweden have adapted their methods and utilized thetechnologies they have been reliant on to conduct their teaching remotely to facilitate interstudent and student-teacher communication. Data was gathered by interviewing practicingteachers and observing English language lessons, and subsequently analyzed to describe theteacher experience as well as to identify how their methods had been adapted as a result ofthe shift to synchronous online teaching. As for the latter, the PICRAT model was utilized toidentify the types of technology implementation. The findings of this study suggest that theinterviewed teachers were not given sufficient organizational support, leading to theirimplementation of technology being inadequate for facilitating interpersonal communication.These findings support those of contemporary research on the topic of the shift tosynchronous online teaching. Finally, this study suggests that increased organizationalsupport in terms of adjustment time, long-term planning, training in technologyimplementation, and continuous evaluation of the same are required to maintain a highquality of English language education when moved online.
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Books on the topic "PiCRUST"

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Picross 50 Logic Puzzles: Japanese Griddlers Picross Hanjie with Solutions. Independently Published, 2020.

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Picross Book for Adults: 50 Black and White Picross Nonograms Puzzles. Independently Published, 2020.

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Picross Book: Black and White Picross Nonograms Griddlers Hanjie 50 Puzzles. Independently Published, 2020.

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Gerena, Alexander. Picross: Hanjie Griddlers Nonograms. Independently Published, 2021.

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Monogram Color: Picross LOGIC PUZZLE. Independently Published, 2020.

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Publishing, Activbook. Picross for Beginners: 100 Puzzles. Independently Published, 2020.

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Nonogram Picross Puzzle Book for Adults: Japanese Crossword Puzzle Book, Griddlers Picross Hanjie Logic Puzzles with Pictures. Independently Published, 2020.

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Picross, Griddlers, Nonograms, Hanjie Book: 45 Puzzles. Independently Published, 2020.

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Puzzles-books, Edition. Picross, Hanjie: 45 Nonograms de Tous Niveaux. Independently Published, 2020.

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Publshing, Press. Nonogram Puzzle Books for Adults: Picross Hanjie Griddlers Picture Cross Logic Puzzle Book, Nanograms Picross, Nonogram Puzzles, Nanogram, Nonogram. Independently Published, 2022.

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Book chapters on the topic "PiCRUST"

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Douglas, Gavin M., Robert G. Beiko, and Morgan G. I. Langille. "Predicting the Functional Potential of the Microbiome from Marker Genes Using PICRUSt." In Methods in Molecular Biology, 169–77. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8728-3_11.

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"PICRIS (Compositae)." In Directory Of Plants Containing Secondary Metabolites, 922–23. CRC Press, 1991. http://dx.doi.org/10.1201/b12561-372.

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German, Susan, Christine Anne Royce, and Beverly R. DeVore-Wedding. "Transforming Technology Purpose and Integration." In Preparing Faculty for Technology Dependency in the Post-COVID-19 Era, 153–73. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9235-9.ch009.

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While the shift to emergency remote teaching was sudden and caught many off-guard, the reality exists that we need to better prepare faculty to utilize technology in a meaningful way and integrate it into lessons. This chapter provides an overview of two aspects: 1) preparing faculty for use of technology through a modified transitional learning model so that they are supported with just-in-time professional learning and 2) introducing them to the PICRAT technology framework to assist them in the design of their lessons. Both the model and the framework are constructivist in nature and align with transformative learning theory. Examples of what each of these structures look like are provided within the narrative.
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