Sentences with phrase «only sequence data»

Khiabanian H, Hirshfield KM, Goldfinger M, Bird S, Stein M, Aisner J, Toppmeyer D, Wong S, Chan N, Dhar K, Gheeya J, Vig H, Hadigol M, Pavlick D, Ansari S, Ali S, Xia B, Rodriguez - Rodriguez L, Ganesan S. Inference of Germline Mutational Status and Evaluation of Loss of Heterozygosity in High - Depth, Tumor - Only Sequencing Data.

Not exact matches

Under the hood, each Sequence ledger is an immutable, append - only data structure.

He argues that whole genomes will not only provide more data for building trees, but will also enable researchers to study the evolution of regulatory sequences, transposable elements, and other aspects of the genome that are not covered with OpenWings sequencing.

Not only has the parasitic micro jellyfish evolved a stripped - down body plan of just a few cells, but via data generated at the KU Medical Center's Genome Sequencing Facility researchers also found the myxozoan genome was drastically simplified.

A conventional computer processes data only in sequence and stores memory in a separate unit.

Genomic - scale amounts of protein - coding sequence data were not only insufficient but were also misleading for generating an accurate avian phylogeny due to convergence.

Mnemonics rely not only on repetition to remember facts, but also on associations between easy - to - remember information and to be remembered lists of data, based on the principle that the human mind much more easily remembers data attached to spatial, personal, or otherwise meaningful information than that occurring in meaningless sequences.

Although the researchers only sequenced about 2 % of the mother's and fetus's genome, this was enough data to distinguish levels of chromosome 21 in mothers carrying a Down syndrome baby from those with a normal fetus as early as 14 weeks.

«We're only going to learn that by generating lots more sequencing data.»

The complete genome sequence data from the collected viruses will not only expand our knowledge of the virulence factors, but provide detailed information on evolution and transmission of RSV strains, host - pathogen interactions, and pathogen - microbiome relationships that occur during viral infection.

Our interest is to not only generate next - generation sequence data, but to mine this sequence data to better understand the evolution, pathogenesis, and transmission of ZIKV following the outbreak in Brazil in 2015.

Please note that the recommendations are based on immunogen sequence only we currently do not hold any rabbit specific data.

Extracting proper information from large data has become not only a serious problem of Next Generation Sequencing (NGS), which produces an enormous amount of data, but also a difficult task for 3D molecular databases, as the amount of such data is increasing dramatically as well.

Our results suggest that information on the state of the host - parasite relationship in vivo can be provided by measurements of the differential expression of different var groups, and need only be defined by short stretches of sequence data.

The LymphoTrack ® product lines, LymphoTrack Dx (CE - IVD) and LymphoTrack (Research Use Only), build upon the significant advancements made in massively parallel sequencing using the MiSeq ® and Ion PGM ™ instruments and offer a complete solution: kits include multiplex master mixes with built in adaptors and indices for a one - step PCR to generate sequence ready amplicons, controls, and complimentary bioinformatics software for easy data analysis, visualization, and interpretation.

This discriminatory power will only increase as ambitious large - scale sequencing projects like CCDG make their data publicly available.

From the test sequence data, my colleagues and I knew that the specimens were «complex» enough to obtain the full genome, but the only way to put the code together would be by using the genome of the band - tailed pigeon as a reference map.

A combination of sequencing data from two different platforms, as suggested by Nothnagel et al. [5] for the reduction of false positives in newly identified SNVs, is only of limited use for combining the strengths in coverage of different genomic regions.

Interestingly, the performance of Complete Genomics sequencing can be enhanced by adding HiSeq2000 data at 15x coverage, which can currently be obtained by only one lane of HiSeq2000 sequencing (paired t - test on percentage sensitivity comparing Complete Genomics and Complete Genomics + HiSeq2000 15x, p = 0.008692).

Although low, the overlap between our data set and those previously generated (6.2 %) was quite similar to the overlap between the previously generated data sets themselves (8.1 %, [28]-RRB-, and may reflect 1) the possibility that only a limited set of Oct4 targets are in proximity to a PORE sequence, and 2) potential low genomic coverage in our search.

Similarly, a combination of Complete Genomics data at full coverage with as little as 15x HiSeq2000 data (typically obtained with only one sequencing lane) shows a major increase of covered bases in simple repeats (Figure 4b).

[5] For example, one study used such data to show that less than half of students assigned to remediation in English and only a third in math ever completed the course sequence to which they were assigned.

Locally developed data suggests only modest success in continued course sequence of college level English and Math.

Before that, the only condition was that «Nature requests authors to deposit sequence and x-ray crystallography data in the databases that exist for this purpose.»

The data indicate that the epigenetic response to maternal care involves not only single candidate gene promoters but includes transcriptional and intragenic sequences, as well as those residing distantly from transcription start sites.