Sentence examples for sample to differentiate from inspiring English sources

Exact(1)

Metagenomics (often referred to as a broad category which includes metabarcoding) may refer to the application of genomic techniques to assessments of diversity in the general sense but more specifically refers to the assembly of entire genomes from a diversity of species within a mixed sample to differentiate it from metabarcoding (above).

Similar(59)

A high correlation coefficient represents a high agreement between FF and FFPE samples to differentiate change in copy-number intensity signal.

A judicial order to perform analyses of unmatched samples to differentiate European and North African ancestry became a critical part of the investigation and was instigated to help refine the search for further suspects.

In each independent experiment, we prepared two samples of cultured ATDC5 cells transfected with PACTIN-PxRe and induced simultaneously the samples to differentiate into chondrocytes at confluence.

Mycobacterium tuberculosis genotyping was performed with a spoligotyping commercial kit (Ocimum Biosolutions Ltd., Hyderabad, India) according to a previously described method, on relapse samples and corresponding baseline samples, to differentiate exogenous re-infection from endogenous reactivation [ 26].

Future studies on treatment of psychiatric symptoms in ASDs should include larger samples to differentiate between patients with specific psychiatric problems in order to increase detectability of treatment effects.

Our results highlight the importance of extensive sampling to differentiate between native and introduced ranges in widespread marine invertebrates and illustrate the difficulty of correctly identifying non-indigenous species in marine invertebrates with poorly resolved taxonomy.

As a surrogate, we used FPLC lipid profiles from pooled murine plasma samples to differentiate between the high-density and low-density lipoprotein cholesterol fractions in the different treatment arms.

Of the 1,770 differentially expressed transcripts identified by RNA-Seq, 1,460 were detected by DGE sequencing, but 870 were mapped by uncertain tags (tags that mapped to at least two different transcripts) and another 192 transcripts did not have enough tags (< 1 'tags per million' (TPM) counts for all three samples) to differentiate expressions among CA1, CA3 and CK samples.

Over the past few years a growing list of studies has reported on the ability to use expression profiling tests on RNA derived from blood samples to differentiate between healthy controls and patients with certain types of cancer [ 5- 8], to classify separate patient populations [ 9] or to predict clinical outcome [ 10].

NICE is the only institution in the sample to explicitly differentiate between commercial-in-confidence and academic-in-confidence data, assuming that the latter can be discussed during appraisal meetings despite the fact that they need to not be widely publicly disclosed in order not to prejudice the publication of information in scientific form [ 40].

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