Genomics

  1. Nuclear genome profiling of two species of Epidendrum (Orchidaceae): genome size, repeatome, and ploidy

    1. Miguel A Alcalá-Gaxiola
    2. Gerardo A Salazar
    3. Eric Hágsater
    4. Mónica A Flores-Iniestres
    5. Lidia I Cabrera
    6. Aldo I Aviña-Rivera
    7. Pedro Mercado-Ruaro
    8. Susana Magallon
    9. Carolina Granados Mendoza
    10. Aleida Núñez-Ruiz
    11. Gloria Soldevila
    12. Araxi O Urrutia
    13. Rubi N Meza-Lázaro

    Reviewed by Review Commons

    4 evaluationsAppears in 1 listLatest version Latest activity

  3. Expression-Driven Genetic Dependency Reveals Targets for Precision Medicine

    1. Abdulkadir Elmas
    2. Hillary M. Layden
    3. Jacob D. Ellis
    4. Luke N. Bartlett
    5. Xian Zhao
    6. Reika Kawabata-Iwakawa
    7. Hideru Obinata
    8. Scott W. Hiebert
    9. Kuan-lin Huang

    Reviewed by GigaScience

    4 evaluationsAppears in 1 listLatest version Latest activity

  6. Haplotype-resolved chromosome-level genome assemblies of four Diamesa species reveal the genetic basis of cold tolerance and high-altitude adaptations in arctic chironomids

    1. Sarah L F Martin
    2. Renato La Torre
    3. Bram Danneels
    4. Ave Tooming-Klunderud
    5. Morten Skage
    6. Spyridon Kollias
    7. Ole Kristian Tørresen
    8. Mohsen Falahati Anbaran
    9. Elisabeth Stur
    10. Kjetill S Jakobsen
    11. Michael D Martin
    12. Torbjørn Ekrem

    Reviewed by GigaScience

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Raman2RNA: Live-cell label-free prediction of single-cell RNA expression profiles by Raman microscopy

    1. Koseki J. Kobayashi-Kirschvink
    2. Shreya Gaddam
    3. Taylor James-Sorenson
    4. Emanuelle Grody
    5. Johain R. Ounadjela
    6. Baoliang Ge
    7. Ke Zhang
    8. Jeon Woong Kang
    9. Ramnik Xavier
    10. Peter T. C. So
    11. Tommaso Biancalani
    12. Jian Shu
    13. Aviv Regev

    Reviewed by Arcadia Science

    4 evaluationsAppears in 1 listLatest version Latest activity

  8. Integrating bulk and single cell RNA-seq refines transcriptomic profiles of individual C. elegans neurons

    1. Alec Barrett
    2. Erdem Varol
    3. Alexis Weinreb
    4. Seth R Taylor
    5. Rebecca M McWhirter
    6. Cyril Cros
    7. Berta Vidal
    8. Manasa Basaravaju
    9. Abigail Poff
    10. John A Tipps
    11. Maryam Majeed
    12. Chen Wang
    13. Emily A Bayer
    14. Molly Reilly
    15. Eviatar Yemini
    16. HaoSheng Sun
    17. Oliver Hobert
    18. David M Miller
    19. Marc Hammarlund

    • Curated by eLife

      eLife Assessment

      This paper uses a new computational method that integrates bulk sequencing and single-cell sequencing data to provide refined gene expression datasets for 52 neuron classes in C. elegans. The paper's findings are convincing, presenting an approach that alleviates a key shortcoming of single-cell RNA sequencing. While the datasets have some limitations that the authors acknowledge, the new methodology and refined datasets will be important resources for those interested in understanding how gene expression shapes neuronal morphology and physiology.

    Reviewed by eLife

    9 evaluationsAppears in 3 listsLatest version Latest activity

  9. 10,239 whole genomes with multiomic and clinical health information as the Korean Multiomics Reference dataset

    1. Kyungwhan An
    2. Sungwon Jeon
    3. Yoonsung Kwon
    4. Yookyung Choi
    5. Changhan Yoon
    6. Yeonsu Jeon
    7. Jihun Bhak
    8. Dong-Hyun Shin
    9. Hyoung-Jin Choi
    10. Hyomin Lee
    11. Yeo Jin Kim
    12. Eun-Seok Shin
    13. Hyojung Ryu
    14. Asta Blazyte
    15. Sangsoo Park
    16. Juok Cho
    17. Dan Bolser
    18. Soobok Joe
    19. Jin Ok Yang
    20. Jongbum Jeon
    21. Jong-Hwan Kim
    22. Jungeun Kim
    23. Dooyoung Jung
    24. Yun Sung Cho
    25. Kiyuk Chang
    26. Eun Ho Choo
    27. Eunmin Kim
    28. Sang Yeub Lee
    29. Weon Kim
    30. Min Gyu Kang
    31. Ae-Young Her
    32. Suk Chon
    33. Jeong-Taek Woo
    34. Sang Youl Rhee
    35. Siwoo Lee
    36. Hyo-Jeong Ban
    37. Hee-Jeong Jin
    38. Younghwa Baek
    39. Yong Min Ahn
    40. Sang Jin Rhee
    41. Min Ji Kim
    42. Sang Yeol Lee
    43. Chan-Mo Yang
    44. Se-Hoon Shim
    45. Seong-Jin Cho
    46. Shin Gyeom Kim
    47. Hyung-Tae Jung
    48. Byung-Joo Ham
    49. Yoon Young Choi
    50. Jae-Ho Cheong
    51. Seung-Ki Kim
    52. Ji Hoon Phi
    53. Seung Ah Choi
    54. Heon Yung Gee
    55. Sun Young Joo
    56. Jinsei Jung
    57. Wonsuk Shin
    58. Sang-Hyuk Lee
    59. Borah Kim
    60. Woojae Myung
    61. Chong Kun Cheon
    62. Dong Uk Kim
    63. Seok-Soo Byun
    64. Gangnam Jin
    65. Hojune Lee
    66. Kyun Shik Chae
    67. Chang Geun Kim
    68. Bonghee Lee
    69. Jaesuk Lee
    70. Kwangwoo Kim
    71. Semin Lee
    72. Neung-Hwa Park
    73. Haeyoung Jeong
    74. George M. Church
    75. Jong Bhak

    Reviewed by Arcadia Science

    3 evaluationsAppears in 1 listLatest version Latest activity

  10. Nanopore genome skimming with Illumina polishing yields highly accurate mitogenome sequences: a case study of Niphargus amphipods

    1. Alice Salussolia
    2. Ninon Lecoquierre
    3. Fabio Stoch
    4. Jean-François Flot

    Reviewed by Peer Community In Zoology

    1 evaluationAppears in 1 listLatest version Latest activity
Previous Page 4 of 81 Next