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We show that read phasing and realignment can recover a significant portion of false negative INDELs. In particular, we extend Needleman-Wunsch affine gap alignment by introducing new gap penalties for more accurately aligning repeated\n                    <jats:italic>n<\/jats:italic>\n                    -polymer sequences such as homopolymers (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$n=1$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mi>n<\/mml:mi>\n                            <mml:mo>=<\/mml:mo>\n                            <mml:mn>1<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ) and tandem repeats (\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$2 \\le n \\le 6$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mn>2<\/mml:mn>\n                            <mml:mo>\u2264<\/mml:mo>\n                            <mml:mi>n<\/mml:mi>\n                            <mml:mo>\u2264<\/mml:mo>\n                            <mml:mn>6<\/mml:mn>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    ). At the same precision, haplotype phasing improves INDEL recall from 63.76 to\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$70.66\\%$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mn>70.66<\/mml:mn>\n                            <mml:mo>%<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    and nPoRe\u00a0realignment improves it further to\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:tex-math>$$73.04\\%$$<\/jats:tex-math>\n                        <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                          <mml:mrow>\n                            <mml:mn>73.04<\/mml:mn>\n                            <mml:mo>%<\/mml:mo>\n                          <\/mml:mrow>\n                        <\/mml:math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    .\n                  <\/jats:p>","DOI":"10.1186\/s12859-023-05193-4","type":"journal-article","created":{"date-parts":[[2023,3,26]],"date-time":"2023-03-26T16:46:01Z","timestamp":1679849161000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["nPoRe: n-polymer realigner for improved pileup-based variant calling"],"prefix":"10.1186","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3429-4329","authenticated-orcid":false,"given":"Tim","family":"Dunn","sequence":"first","affiliation":[]},{"given":"David","family":"Blaauw","sequence":"additional","affiliation":[]},{"given":"Reetuparna","family":"Das","sequence":"additional","affiliation":[]},{"given":"Satish","family":"Narayanasamy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,16]]},"reference":[{"issue":"12","key":"5193_CR1","doi-asserted-by":"publisher","first-page":"Giaa123","DOI":"10.1093\/gigascience\/giaa123","volume":"9","author":"D Lang","year":"2020","unstructured":"Lang D, Zhang S, Ren P, Liang F, Sun Z, Meng G, et al. 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