3,134 publications from this institution
Single-cell sequencing has gained popularity in recent years. Despite its numerous applications, single-cell DNA sequencing data is highly error-prone due to technical biases arising from uneven sequencing coverage, allelic dropout, and amplification error. With these artifacts, the identification of somatic genomic variants becomes a challenging task, and over the years, several methods have been developed explicitly for this type of data. Single-cell variant callers implement distinct strategies, make different use of the data, and typically result in many discordant calls when applied to real data. Here, we review current approaches for single-cell variant calling, emphasizing single nucleotide variants. We highlight their potential benefits and shortcomings to help users choose a suitable tool for their data at hand.
A phylogenetic model selection test to quantify the evidence for the Universal Common Ancestry (UCA) of life forms was proposed recently (Theobald 2010a), based on the comparison of the statistical support, using likelihoods, the Akaike Information Criterion (AIC), or Bayes factors, for two different phylogenetic models representing the UCA and the independent origins (IOs) hypotheses (Sober and Steel 2002). In this test, the former is represented by a single phylogeny connecting all sequences, whereas the latter is depicted by several, independent phylogenetic trees (Fig. 1). Importantly, in the original UCA test, the same alignment was used to represent both hypotheses. When applied to a particular data set of 23 universally conserved proteins, the test strongly favored a UCA scenario.
Volatile oil was extracted from Marchantia convoluta by steam distillation. 25 peaks were separated and 10 compounds including 5 hydrocarbons and 5 oxygenated compounds were identified by Gas Chromatogra-phy-Mass spectrometry. The main components were norpinane and hedycaryol. The other 8 compounds with contents all over 1 %. It is good to separate non-polar and apolar component in volatile oil from M. convolute on the GC column of moderate polarity.
Quantitative genetics is the study of continuously varying traits which make up the majority of biological attributes of evolutionary and commercial interest. This book provides a much-needed up-to-date, in-depth yet accessible text for the field. In lucid language, the author guides readers through the main concepts of population and quantitative genetics and their applications. It is written to be approachable to even those without a strong mathematical background, including applied examples, a glossary of key terms, and problems and solutions to support students in grasping important theoretical developments and their relevance to real-world biology. An engaging, must-have textbook for advanced undergraduate and postgraduate students. Given its applied focus, it also equips researchers in genetics, genomics, evolutionary biology, animal and plant breeding, and conservation genetics with the understanding and tools for genetic improvement, comprehension of the genetic basis of human diseases, and conservation of biological resources.
With the aim to describe the circadian pattern of non-invasive ambulatorily monitored blood pressure (BP) during pregnancy in clinically healthy women as well as in pregnant women who developed gestational hypertension or preeclampsia, the authors analyzed 759 BP series sampled for about 48 hours every four weeks after the first obstetric visit in 71 women with uncomplicated pregnancies and 42 with gestational hypertension or preeclampsia. The circadian pattern of BP variation for each group (complicated vs. uncomplicated pregnancies) and trimester of gestation was established by linear least-squares methods. A highly statistically circadian pattern is demonstrated for systolic (SBP) and diastolic BP (DBP) for both groups of pregnant women in all trimesters (p<0.001 in all cases). The differences in circadian rhythm-adjusted mean between complicated and uncomplicated pregnancies are highly statistically significant in all trimesters (p always <0.001). This study confirms and extends to ambulatory everyday life conditions the predictable circadian variability in BP during gestation. The differences in BP between healthy and complicated pregnancies can be observed as early as in the first trimester of pregnancy. Those differences are found when both SEP and DBP for women with a later diagnosis of gestational hypertension or preeclampsia are well within the accepted normal physiologic range of BP variability.
: Wednesday, June 16, 2004: POSTER SESSIONS: Poster Session 44: BP Measurements and Hemodynamics
