ライフサイエンスコーパス: split read

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1 with segemehl and many other frequently used split-read aligners.

2 nalytical methods (read depth, read pair and split read) allow the extensive characterisation of chro

3 Split-read analysis of WES data followed by breakpoint P

4 SMASH combines signals from split reads and mate-pair discordance to detect somatic

5 is complementary in a straightforward way to split-read and read-pair approaches: It misses CNVs crea

6 indelMINER uses a split-read approach to identify the precise breakpoints

7 variants that are frequently missed with the split-read approach.

8 core variants based on supporting paired and split-read evidence, with scoring models optimized for g

9 er types of information such as read-pair or split-read in a single analysis.

10 EpiTEome outperforms other split-read insertion site detection programs, even while

11 cient two-stage approach, which combines the split reads mapping and discordant insert size analysis.

12 The first stage is split reads mapping based on the Burrows-Wheeler transfo

13 for sequence reads either use the so-called split reads mapping for detecting deletions with exact b

14 Our split reads mapping method allows mismatches and small i

15 In this paper, we present a split-read mapping method implemented in the program SVs

16 rrent sequencing technologies, more accurate split-read mapping methods are still needed to better ha

17 ing amount of data generated, more efficient split-read mapping methods are still needed.

18 Among these approaches, split-read mapping methods can be applied on low-coverag

19 e maximum deletion size, while some existing split-read mapping methods need more memory and longer r

20 es accurate and efficient SV calling through split-read mapping within focal regions using paired-end

21 Vseq2 achieves more accurate calling through split-read mapping within focal regions.

22 fusion junctions and genomic breakpoints by split-read mapping.

23 arate files the discordant read-pairs and/or split-read mappings used for structural variant calling.

24 dict precise translocation breakpoints, and "split-read" methods may lose sensitivity if a translocat

25 nformative data (e.g. read-depth, read-pair, split-read) need be considered, and that sophisticated m

26 CNVs that it identifies are not detected by split-read or read-pair.

27 We present a novel method called Sprites (SPlit Read re-alIgnment To dEtect Structural variants) w

28 SWAN also uses soft-clip/split read remapping to supplement the likelihood analys

29 Seeksv simultaneously uses split read signal, discordant paired-end read signal, re

30 e information provided by pair-end reads and split reads, TEMP is able to identify both the presence

31 akpoint locations and a bridging assembly or split read, the problem essentially reduces to finding a

32 apped read pairs, and then subsequently maps split reads to identify precise breakpoints.

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