Keywords
Circular NGS platform, DNBSEQ™, Nicking Loop, RCA 15
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
2
FUNDING 16
This study was funded by venture capital from Voima Ventures (Helsinki, Finland), 17
Avohoidon Tutkimussaatio (Espoo, Finland), Business Finland (Helsinki, Finland) and 18
Almaral (Kaarina, Finland). 19
CONFLICT OF INTEREST 20
M.T. is the Chief Executive Officer of Genomill Health Inc. J.P.P is the Chief Technology 21
Officer of Genomill Health Inc. J.L. is a medical advisor at Genomill. J.B., J.L., M.T. hold 22
equity in Genomill. S.A., N.L., A.K., T.H., A.M., T.R., J.K., J.B., J.L., M.T., J.P.P. are 23
entitled to stock options in Genomill. The authors S.A., N.L., A.K., T.H., A.M., T.R., J.K. 24
and J.P.P. are currently employed at Genomill. R.H. is a senior scientist at Complete 25
Genomics Inc. C.X. is the vice president of Complete Genomics Inc. Both R.H. and C.X. do 26
not hold stock or stock option in Complete Genomics Inc. The research detailed in this 27
manuscript is related to Genomill patents EP4332238, TWI868882 and US11970736. 28
Genomill is in the process of filing patents related to this work, and S.A., N.L., A.K., T.H., 29
A.M., T.R., J.K., M.T., J.P.P. are named inventors on these patent applications. J.B. has 30
received honoraria from Novo Nordisk and Boehringer Ingelheim. In preparation of this 31
manuscript, every effort has been made to ensure that the research is conducted and presented 32
objectively. The design of the study, data collection, analysis, interpretation, and the writing 33
of the manuscript were conducted independently of Genomill's commercial interests. The 34
authors affirm that the information provided here is accurate and complete to the best of their 35
knowledge. 36
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
3
Abstract
37
Nicking Loop™ is a PCR-free targeted library preparation method that combines conversion 38
of linear target DNA into circular single-stranded DNA (CssDNA) library with early sample 39
indexing in a single step. The resulting CssDNA libraries can be either directly sequenced or 40
optionally amplified, offering maximum flexibility across sequencing applications. 41
This study demonstrates the compatibility of Nicking Loop™ circular libraries with a MGI’s 42
DNBSEQ™ platform. Compatibility was evaluated against established linear Nicking 43
Loop™ libraries sequenced on Illumina MiSeq platform. Using synthetic reference samples 44
with defined variant allele frequencies, Nicking Loop™ method demonstrated matching 45
performance across both library formats and sequencing platforms. Key quality metrics, 46
including unique molecular identifier (UMI) distributions, error profiles and VAF detection, 47
were all highly consistent. Both library types generated over 97% singleton UMIs, indicating 48
uniform template sampling, and VAF measurements were strongly concordant across 49
platforms (Spearman’s ρ = 0.939). Collectively, these findings demonstrate that Nicking 50
Loop™ method is directly applicable to circular NGS platforms, such as DNBSEQ™, 51
strongly supporting its use as a platform-agnostic library preparation strategy for targeted 52
sequencing applications. 53
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
4
ABBREVIATIONS 54
CssDNA Circular single-stranded DNA 55
DNB DNA nanoball 56
dsDNA Double-stranded DNA 57
NGS Next-generation sequencing 58
ssDNA Single-stranded DNA 59
RCA Rolling-circle amplification 60
RT Room temperature 61
UMI Unique molecular identifier 62
VAF Variant allele frequency 63
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
5
Introduction
64
The field of next-generation sequencing (NGS) expanded rapidly over the past decade. In 65
addition to established short-read sequencing platforms such as Illumina, technologies 66
developed by MGI, Element Biosciences, and Pacific Biosciences introduced alternative 67
sequencing chemistries, including the use of circular templates and long-read sequencing 68
strategies1–3. However, many library preparation workflows are optimized for linear, 69
Illumina-like libraries and often require additional conversion steps to generate libraries 70
compatible with circular approaches4. In addition, library preparation protocols for newer 71
NGS platforms are commonly optimized for whole-genome sequencing applications 72
primarily used in research 5–7. In contrast, targeted sequencing approaches remain widely 73
used in clinical and diagnostic settings due to cost-efficiency, high-depth coverage, and assay 74
design considerations8,9. 75
Nicking Loop™ is a targeted library preparation method that converts linear DNA into 76
circular single-stranded DNA (CssDNA) while introducing sample-specific index at the early 77
step of the workflow10. Early sample indexing enables direct sequencing of circular libraries 78
following conversion or pooling of samples prior to further library amplification if desired. 79
Nicking Loop™ leverages linear amplification to limit error propagation, which is a key 80
attribute of circular NGS platforms. These features make Nicking Loop™ well suited for 81
sequencing platforms that utilize circular library formats. This compatibility is particularly 82
relevant for applications where detection of low-frequency variants is critical, including 83
detection of somatic variants from circulating cell-free DNA or tissue, and infectious disease 84
testing. 85
The Nicking Loop™ has been previously evaluated on multiple sequencing platforms, and 86
this study extends the evaluation to MGI’s DNBSEQ™ platform. Here, the performance of 87
circular Nicking Loop™ libraries sequenced on DNBSEQ™-G99 is compared to linear 88
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
6
Nicking Loop™ libraries sequenced on Illumina MiSeq. Platform compatibility is assessed 89
using key performance metrics, including unique molecular identifier distributions, error 90
profiles and variant allele frequency (VAF) profiling capabilities, with early sample indices 91
used for read assignment on DNBSEQ™ platform. 92
Material and methods
93
Oligonucleotides 94
The components of a Nicking Loop construct: the Loop carrying the sample index, left and 95
right probes, and the bridge oligonucleotide and two synthetic DNA pools used as target 96
DNA were produced by IDT (Coralville, IA). Left and right probes were pre-annealed with 97
the bridge oligonucleotide to form a probe construct. The DNA pools contained ten 98
templates. Individual templates were distinguished by three pool-specific complementary 99
nucleotides. The pools were mixed in different ratios to mimic the VAF of 0%, 1%, 5%, 100
10%, and 20%. 101
Preparation of Nicking Loop™ converted CssDNA and RCA amplification 102
To prepare Nicking Loop™ converted CssDNA from linear target DNA, 2.5 fmol of linear 103
synthetic target pools were combined with 10 fmol of probe constructs (probes 6 & 7 were 104
loaded at 1 fmol instead) and 200 fmol of Loop oligomer in 1× Ampligase buffer (LGC 105
Biosearch Technologies, Hoddesdon, UK). To induce hybridization, the mixture was 106
denatured at 95°C for 5 minutes, cooled stepwise to 55°C (10°C steps with 2.5 minutes hold), 107
and incubated at 55°C for 2 hours. To circularize the hybridization products, the reactions 108
were supplemented with: 0.2 U Phusion High-Fidelity DNA Polymerase (Thermo Fisher 109
Scientific, Waltham, MA), 0.2 U Ampligase (LGC Biosearch Technologies), and 10 mM 110
dNTPs (Thermo Fisher Scientific) in 1 × Ampligase Reaction buffer (LGC Biosearch 111
Technologies) and incubated at 55°C for 40 minutes. 112
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
7
To degrade residual linear DNA, 1 µL of each Thermolabile Exonuclease I and RecJf (NEB, 113
Ipswich, MA) was added to the reaction, and incubated at 37°C for 45 minutes, followed by 114
heat inactivation at 80°C for 10 minutes. Nicking Loop™ converted CssDNA templates were 115
purified using a 2× volume of AMPure XP beads (Beckman Coulter, Brea, CA). 116
Nicking Loop™ converted CssDNA templates prepared by conversion of linear DNA were 117
amplified by rolling-circle amplification (RCA). In the first step, 10 µL of purified CssDNA 118
templates were pre-annealed with 12.5 pmol of universal amplification primer in 1× 119
EquiPhi29 buffer (Thermo Fisher Scientific). The mixture was denatured at 95°C for 5 120
minutes and gradually cooled down to room temperature (RT) for 20 minutes. To produce 121
RCA concatemers, the reaction was supplemented with 10 mM dNTPs, 100 mM DTT, and 122
0.5 U of EquiPhi29 (Thermo Fisher Scientific) followed by incubation at 45°C for 90 123
minutes, and subsequent heat inactivation at 95°C for 10 minutes. 124
Circular library preparation for DNBSEQ™-99 125
The circular Nicking Loop™ libraries were prepared from RCA-generated concatemers. To 126
promote folding of the concatemers, reactions were supplemented with nuclease-free water 127
and 1× rCutSmart buffer (NEB), incubated at 95°C for 5 minutes, and gradually cooled to 128
RT. Folded concatemers formed a hairpin structure with a dsDNA restriction recognition site 129
for the nicking enzyme. To produce linear monomers, the recognition site was digested with 130
10 U of Nb.BsrDI (NEB) or 15 U of Nb.BbvCI (NEB) at 37°C for 90 minutes, followed by 131
heat inactivation at 80°C for 10 minutes. The resulting linear monomers were purified using 132
1.8× volume of AMPure XP beads (Beckman Coulter). 133
To initiate folding of monomers into a circular Nicking Loop structure with a nick, 10 µL of 134
purified linear monomers was mixed with 7 µL of nuclease-free water, denatured at 95°C for 135
5 minutes, and gradually cooled to RT. The nick was subsequently ligated by addition of 1 136
µL of T4 DNA ligase and 2 µL of 10× T4 DNA ligase buffer (NEB), followed by incubation 137
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
8
at 32°C for 30 minutes. Any residual linear ssDNA was degraded by 1 µL each of 138
Thermolabile Exonuclease I and RecJf (NEB). The reactions were incubated at 37°C for 45 139
minutes, then heat-inactivated at 95°C for 10 minutes. The final circular library was purified 140
using a 2× volume of AMPure XP beads (Beckman Coulter). The libraries were quantified 141
using the Qubit™ dsDNA HS Assay Kit and Qubit™ 4 Fluorometer (Thermo Fisher 142
Scientific). A schematic of the circular Nicking Loop™ library is provided in Supplementary 143
Figure. 1. 144
DNBSEQ™-G99 Sequencing 145
Nicking Loop™ libraries were amplified into DNA nanoballs (DNBs) and sequenced on the 146
DNBSEQ™-G99 platform following the manufacturer’s system guide (Complete Genomics, 147
San Jose, CA). Briefly, for DNB preparation, 250 fmol of pooled library was combined with 148
10 μL of Make DNB Buffer containing primer for RCA amplification. Then appropriate 149
amount of TE buffer was added to make the final volume of 20 μL for primer hybridization. 150
Hybridization was performed with sequential incubations at 95 °C, 65 °C, and 40 °C for 1 151
minute each. Subsequently, 20 μL of Make DNB Enzyme Mix I and 2 μL of Make DNB 152
Enzyme Mix II (LC) were added, and DNB amplification was carried out at 30 °C for 30 153
minutes. The reaction was terminated by adding 10 μL of Stop DNB Reaction Buffer. DNB 154
concentration was quantified using the Qubit ssDNA Assay Kit (Thermo Fisher Scientific, 155
PN #Q10212) by using 2 μL of above DNB solution. Then, 21 μL of DNB solution was 156
mixed with 7 μL of DNB Load Buffer II and 1 μL of Make DNB Enzyme Mix II (LC), then 157
loaded onto the flow cell according to manufacturer’s system guide. Sequencing was 158
performed using the DNBSEQ™-G99RS High-Throughput Sequencing Set (PN #940-159
001717-00, Model APP-D FCL PE300, Version 1.0). Run parameters were configured for 160
paired-end sequencing with Read 1 of 66 bp, Read 2 of 121 bp, and a 45 bp barcode read. 161
Custom-designed Make DNB primers, sequencing primers, and MDA primers based on the 162
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
9
Nicking Loop™ library structure were used for DNB amplification and library sequencing 163
(Supplementary Fig. 1). 164
Library preparation and sequencing with Illumina MiSeq 165
The linear Nicking Loop™ libraries were produced from RCA-generated concatemers (see 166
section Preparation of Nicking Loop™ converted CssDNA and RCA amplification). To 167
introduce flowcell binding sequences, 2 µL of RCA concatemers was subjected to 168
minimal-cycle PCR using 10 µM dual-indexed primers with Phusion HS II DNA Polymerase 169
(Thermo Fisher Scientific), following the manufacturer’s guidelines. PCR was performed 170
with a combined annealing and extension step at 72°C for 14 cycles. All PCR products were 171
gel-purified using the Monarch DNA Gel Extraction kit (NEB). The linear libraries were 172
quantified using the Qubit™ dsDNA HS Assay Kit and the Qubit™ 4 Fluorometer (Thermo 173
Fisher Scientific). Sequencing was performed on the Illumina MiSeq platform, using the 174
MiSeq Reagent Kit v3 for a 2 × 300 bp paired-end run (Illumina). The schematic of the linear 175
Nicking Loop™ library structure is provided in Supplementary Figure 2. 176
Data analysis 177
Reads generated by DNBSEQ™ platform and Illumina MiSeq were merged using 178
VSEARCH 11 (v2.15.2_linux_x86_64) with the following parameters: --fastq_minovlen 10 --179
fastq_maxdiffs 15 --fastq_maxee 1 --fastq_allowmergestagger --fastq_qmaxout 92 --180
fastq_qmax 55. Since the sequencing depth of the DNBSEQ™ platform was approximately 181
225-fold higher (109,080,339 merged reads) than that of the Illumina MiSeq (485,342 182
merged reads), the merged DNBSEQ™ read pool was subsampled down to 485,342 reads. 183
The merged reads were discarded if the gap sequence (target region between probes) did not 184
match the target-specific probe sites, had an incorrect gap length, or had discrepancies in 185
three pool-specific nucleotides (2.7% of Illumina MiSeq merged reads and 4.5% of 186
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
10
DNBSEQ™-G99 merged reads). The error rate for each platform was determined by 187
comparing the gap sequence to the expected reference sequence. 188
All data were processed using proprietary pipelines. Python version 3.11.14 189
(https://www.python.org/downloads/release/python-31114/) and matplotlib library version 190
3.10.8 (https://matplotlib.org/3.10.8) were used to draw the figures. SciPy v1.17.0 191
(https://pypi.org/project/scipy/1.17.0/) library was used for Spearman correlations. 192
Results
193
Nicking Loop™ libraries for circular and linear NGS platforms 194
To assess compatibility with circular NGS platforms, circular Nicking Loop™ libraries were 195
sequenced on the DNBSEQ™-G99. Nicking Loop™ was initially established using linear 196
libraries on Illumina MiSeq and therefore served as a benchmark for performance of the 197
circular libraries. 198
As the circular Nicking Loop™ method has been described in detail in a previous study10, 199
only the key differences relevant to platform compatibility are summarized here. In the first 200
step, the bridge oligonucleotide, probes, and the Loop are hybridized to linear target-specific 201
DNA. This hybridized intermediate is circularized, forming Nicking Loop™-converted 202
CssDNA that is further amplified by RCA to generate a long concatemer (Fig. 1A, steps 1-3). 203
To prepare a circular library, the concatemers are folded into a hairpin structure with a 204
nicking restriction site in the duplex stem, which is cleaved to produce monomers. The 205
monomers fold to create a circular molecule with a hairpin structure, forming a nick in the 206
stem. This nick is ligated, generating a circular library that can be used with different circular 207
sequencing platforms. For sequencing with the DNBSEQ™ platform, the libraries 208
additionally undergo DNA nanoball generation (Fig 1A, steps 4a–7a). 209
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
11
To prepare libraries for the Illumina platform, the RCA-generated concatemers were 210
subjected to limited-cycle PCR to introduce flowcell binding sequences and produce short 211
linear libraries compatible with bridge amplification (Fig 1A, steps 4b–7b). 212
213
Figure 1. Nicking Loop™ targeted library preparation method. (A) The conversion of linear DNA to circular DNA 214
and platform-specific processing steps for circular DNBSEQ™ and linear Illumina platform. The Nicking Loop™ construct 215
comprises a bridge oligonucleotide, the Loop oligonucleotide, and left and right target-specific probes that bind to target 216
DNA (1). Hybridized construct is circularized, forming Nicking Loop™-converted circular single-stranded DNA 217
(CssDNA; 2) that is amplified by rolling circle amplification (RCA). The RCA-amplified concatemers are used to prepare 218
1.
2.
3.
4.a
5.a
6.a
4.b
5.b
6.b
Hybridization
Nicking Loop™-converted
circular single-stranded DNA
Rolling circle amplification
(RCA)
Monomers
Nicking Loop™
circular libraries
DNBSEQ™
sequencing
Limited-cycle
PCR
Nicking Loop™
linear libraries
Illumina
sequencing
A B
Sample-specifc
index
Restriction
site
Bridge-specific
site
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
12
both circular and linear libraries (3). For circular libraries, the concatemers are cleaved into monomers (4a). The monomers 219
fold and circularize, generating circular libraries (5a) that are sequenced with DNBSEQ™ platform (6a). For linear libraries, 220
RCA amplified concatemers are subjected to limited-cycle PCR (4b) to generate linear libraries (5b) that are sequenced with 221
Illumina platform (6b). (B) The Loop oligonucleotide consists of bridge-specific site required for incorporation into 222
hybridized construct, complementary restriction site for nicking endonuclease, and sample-specific index used for early 223
sample indexing. 224
Early sample indexing with Nicking Loop™ 225
The Loop oligonucleotide is an integral component of the Nicking Loop™ library preparation 226
and contains a sample-specific index (Fig. 1B). Upon incorporation of the Loop into the 227
hybridization construct with target DNA, the samples are tagged at an early stage of library 228
preparation. In this study, the early sample-specific index was used to demultiplex 229
sequencing reads generated by the DNBSEQ™-G99 (Supplementary Fig. 3), as the entire 230
structure of the Nicking Loop™ circular library was sequenced (Fig. 1A, step 5a; 231
Supplementary Fig. 1). In contrast, for linear libraries sequenced on the Illumina MiSeq, 232
sample-specific indices were introduced in the final step of library preparation workflow, as 233
the Loop structure was not sequenced by the Illumina MiSeq platform (Fig. 1A, steps 5b; 234
Supplementary Fig. 2). 235
UMI distribution across different Nicking Loop™ libraries and NGS platforms 236
The Nicking Loop™ design incorporates dual UMIs located within the left and right probe 237
arms flanking the target-specific region (Supplementary Fig 1). UMI distributions were 238
assessed across different Nicking Loop™ libraries and NGS platforms. To ensure direct 239
comparability, merged reads of the DNBSEQ™-G99 were subsampled to match the 240
sequencing depth of Illumina MiSeq (approximately 225-fold difference). Despite varying 241
sequencing depths, the general profiles of read and UMI coverage per probe were comparable 242
(Supplementary Fig. 3). 243
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
13
The total UMI count was 429,216 and 459,100 for the DNBSEQ™-G99 (subsampled) and 244
Illumina MiSeq, respectively. Singleton UMIs accounted for 97.36% and 97.03% of total 245
UMIs for the DNBSEQ™™-G99 and the Illumina MiSeq. The UMI distributions for each 246
probe were comparable across platforms (Fig. 2). In some cases, circular Nicking Loop™ 247
libraries sequenced on the DNBSEQ™-G99 platform yielded higher reads per UMI than 248
linear libraries sequenced on Illumina MiSeq, however, these differences were negligible 249
(0.099% of cases). 250
Beyond the matched-depth comparison of DNBSEQ™-G99, the UMI distribution was 251
assessed at native sequencing depth (109,080,339 merged reads). The distribution remained 252
dominated by UMIs with low read coverage (58.87% singleton UMIs), indicating high 253
molecular diversity (Supplementary Fig. 4). 254
255
Figure 2. Distribution of reads per unique molecular identifier (UMI) across Nicking Loop™ circular libraries sequenced on 256
the DNBSEQ™-G99 (blue) and linear libraries sequenced on the Illumina MiSeq (orange) for each probe in the synthetic 257
panel. 258
Mismatches introduced across different Nicking Loop™ libraries and NGS platforms 259
To determine the impact of platform-specific Nicking Loop™ steps and sequencing 260
chemistries on error rates, mismatches between the sequenced gap region and the expected 261
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
14
Reference
sequence were evaluated. Error rates were compared using depth-normalized 262
merged reads to ensure direct comparability between platforms. 263
Overall, fewer mismatches were observed for the circular Nicking Loop™ workflow 264
sequenced on the DNBSEQ™-G99 (99.74% correct reads) compared to linear Nicking 265
Loop™ workflow sequenced on the Illumina MiSeq platform (99.29% correct reads), 266
although the observed difference was small. Single base pair mismatches accounted for the 267
majority of all mismatches (0.25% and 0.70% of reads for DNBSEQ™-G99 and Illumina 268
MiSeq, respectively), while reads containing two or more mismatching base pairs were rare. 269
The error rate of DNBSEQ™-G99 at native sequencing depth was matching the depth-270
normalized results. At native sequencing depth, 99.76% of reads were correct, 0.23% of reads 271
contained a single base-pair mismatch, and the number of reads with ≥ 2 base-pair 272
mismatches was negligible (Supplementary table 1). 273
Table 1. Number of mismatches (bp) observed in gap sequence of merged reads across circular and linear Nicking Loop™ 274
workflows when compared to the expected reference gap sequence. Circular library was sequenced by DNBSEQ™-G99 and 275
linear library was sequenced with Illumina MiSeq. Reads obtained by DNBSEQ™-G99 were subsampled without replacement 276
to match the sequencing depth of Illumina MiSeq. 277
Platform
Number of mismatches
per gap sequence (bp)
Number of merged
reads
Ratio
DNBSEQ™-G99
(circular library)
0 463,396 99.74%
1 1,173 0.25%
2 7 0.0016%
Illumina MiSeq
(linear library)
0 472,074 99.29%
1 3,272 0.70%
2 24 0.0052%
278
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
15
VAF detection across different Nicking Loop™ libraries and NGS platforms 279
To assess consistency of VAF quantification across library preparation methods and 280
sequencing platforms, synthetic templates mimicking multiple VAFs were processed by 281
Nicking Loop™ and sequenced (Fig. 3). Sequencing results revealed a strong VAF 282
agreement for circular libraries sequenced on DNBSEQ™-G99 and linear libraries sequenced 283
on Illumina MiSeq (Spearman’s ρ = 0.939). The concordance indicates that platform-specific 284
downstream processing steps in the Nicking Loop™ workflow does not affect VAF 285
quantification. 286
287
Figure 3. Concordance of variant allele frequencies detected by Nicking Loop ™ library preparation workflow for the 288
DNBSEQ™ platform and the Illumina MiSeq. A strong agreement in VAF concordance was observed (Spearman’s ρ = 0.939) 289
despite platform-specific steps of Nicking Loop™ library preparation workflow. 290
Discussion
291
Nicking Loop™ library preparation method provides flexibility for circular NGS platforms 292
by supporting sequencing of circular templates directly converted from linear target DNA or 293
following amplification. While direct circular sequencing offers a simplified protocol relative 294
to traditional library preparation, the amplified Nicking Loop™ libraries offer PCR-free 295
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
16
amplification with minimal bias. This study demonstrates that such amplified circular 296
libraries can be effectively sequenced on a circular NGS platforms and demultiplexed using 297
Loop index introduced in the initial step of the workflow, as illustrated by the results from the 298
DNBSEQ™ platform. Furthermore, the agreement observed between circular and linear 299
Nicking Loop™ libraries highlights the robustness and platform-independent read-out of the 300
method, expanding prior demonstrations on PacBio ONSO and Oxford Nanopore platforms10. 301
The robustness of the Nicking Loop™ method across library types and NGS platforms was 302
demonstrated by consistent UMI distributions, noise profiles, and reliable VAF detection. 303
UMI distributions across library types were highly comparable, with both libraries generating 304
more than 97% of singleton UMIs. Negligible deviations were observed, where the circular 305
library exhibited more reads per UMI than linear library, representing less than 0.1% of total 306
UMIs. This effect is likely caused by stochastic amplification of minor number of templates 307
in RCA, and it did not impact VAF detection. 308
The error profiles observed across the libraries were comparable, indicating that 309
platform-specific steps and sequencing chemistries have a negligible impact on the error 310
rates. Circular libraries sequenced on DNBSEQ™-G99 exhibited fewer errors, however, 311
these differences were within expected variability. Consistent with the observations, the 312
VAFs detected across circular and linear libraries were highly concordant 313
(Spearman’s ρ = 0.939), further supporting the robustness of the method. 314
Together, these results demonstrate that Nicking Loop™ provides a robust and reproducible 315
platform-independent read-out across multiple NGS platforms. It enables a native targeted 316
sequencing library preparation for circular DNBSEQ™. DNBSEQ™ workflows are 317
primarily optimized for whole-genome sequencing, and commonly used targeted protocols 318
often rely on conversion of PCR-enriched libraries originally designed for linear platforms 319
such as Illumina. In contrast, the Nicking Loop™ library is inherently compatible with 320
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
17
circular sequencing architecture, as it directly converts linear target DNA into circular 321
template. The method leverages RCA amplification to limit error propagation, workflow 322
complexity, and material loss associated with library conversion. Importantly, the Nicking 323
Loop™ supports targeted sequencing applications central to clinical use, including high-324
sensitivity somatic variant detection in oncology and focused gene panels for hereditary 325
disease-testing. 326
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
18
DATA AVAILABILITY 327
The data supporting the findings of this study are available upon reasonable request. 328
SUPPLEMENTARY DATA 329
Supplementary Data are available online. 330
AUTHOR CONTRIBUTIONS 331
S.A. – Conceptualization, Methodology, Formal analysis, Writing - Original Draft, 332
Visualization 333
A.K. – Conceptualization, Methodology, Software, Formal analysis, Data Curation, Writing - 334
Review & Editing, Visualization 335
T.H. – Conceptualization, Methodology, Writing - Review & Editing, Project administration 336
H.R. – Methodology, Investigation, Writing - Original Draft, Writing - Review & Editing, 337
N.L. – Methodology, Software, Formal analysis, Data Curation, Writing - Review & Editing 338
A.M. – Investigation, Writing - Review & Editing 339
T.R. – Investigation, Writing - Review & Editing 340
J.K. – Data Curation, Writing - Review & Editing 341
J.B. – Writing - Review & Editing 342
J.L. – Writing - Review & Editing 343
C.X. – Supervision, Writing - Review & Editing, 344
M.T. – Conceptualization, Methodology, Supervision, Project administration, Funding 345
acquisition, Writing - Review & Editing 346
J.P.P. – Conceptualization, Methodology, Investigation, Writing - Original Draft, 347
Supervision, Project administration 348
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
19
Acknowledgements
349
The authors would like to express their gratitude to Voima Ventures, (Helsinki, Finland), 350
Almaral (Kaarina, Finland), Avohoidon Tutkimussäätiö (Espoo, Finland) and Business 351
Finland (Helsinki, Finland) for support and funding. 352
DECLARATION OF GENERATIVE AI AND AI -ASSISTED TECHNOLOGIES IN 353
THE WRITING PROCESS 354
During the preparation of this work, the authors used ChatGPT 5.2 in order to refine the 355
language and improve readability in certain parts of the manuscript. After using this tool, the 356
authors reviewed and edited the content as needed and take full responsibility for the content 357
of the publication. 358
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
20
References
359
1. Wang M. Next-Generation Sequencing (NGS). Edited by Pan S and Tang J. Clinical 360
Molecular Diagnostics, Singapore, Springer, 2021, pp. 305–27 361
2. Ambardar S, Gupta R, Trakroo D, Lal R, Vakhlu J. High Throughput Sequencing: An 362
Overview of Sequencing Chemistry. Indian J Microbiol, 2016, 56:394–404 363
3. Next generation sequencing and beyond: a review of genomic sequencing methods | 364
Functional & Integrative Genomics | Springer Nature Link, n.d. 365
4. Lang J, Zhu R, Sun X, Zhu S, Li T, Shi X, Sun Y, Yang Z, Wang W, Bing P, He B, 366
Tian G. Evaluation of the MGISEQ-2000 Sequencing Platform for Illumina Target Capture 367
Sequencing Libraries. Front Genet, 2021, 12 368
5. Xu H, Wang Z, Sa S, Yang Y, Zhang X, Li D. Identification of novel compound 369
heterozygous variants of the ALMS1 gene in a child with Alström syndrome by whole 370
genome sequencing. Gene, 2024, 929:148827 371
6. Jeon SA, Park JL, Park S-J, Kim JH, Goh S-H, Han J-Y, Kim S-Y. Comparison 372
between MGI and Illumina sequencing platforms for whole genome sequencing. Genes 373
Genom, 2021, 43:713–24 374
7. Rao J, Luo H, An D, Liang X, Peng L, Chen F. Performance evaluation of structural 375
variation detection using DNBSEQ whole-genome sequencing. BMC Genomics, 2025, 376
26:299 377
8. Bewicke-Copley F, Arjun Kumar E, Palladino G, Korfi K, Wang J. Applications and 378
analysis of targeted genomic sequencing in cancer studies. Comput Struct Biotechnol J, 2019, 379
17:1348–59 380
9. Ghoreyshi N, Heidari R, Farhadi A, Chamanara M, Farahani N, Vahidi M, Behroozi 381
J. Next-generation sequencing in cancer diagnosis and treatment: clinical applications and 382
future directions. Discov Onc, 2025, 16:578 383
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
21
10. Nicking LoopTM: Streamlined circular DNA libraries for precision genomics, DNA 384
data storage and universal NGS read-out | bioRxiv, n.d. 385
https://www.biorxiv.org/content/10.1101/2025.05.08.652165v1.full. (accessed January 12, 386
2026) 387
11. Rognes T, Flouri T, Nichols B, Quince C, Mahé F. VSEARCH: a versatile open 388
source tool for metagenomics. PeerJ, 2016, 4:e2584 389
preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission.
The copyright holder for thisthis version posted March 12, 2026. ; https://doi.org/10.64898/2026.03.10.710732doi: bioRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.