Evolutionary Biology

Determinants of mutation load in birds

1. Fidel Botero-Castro
2. Jochen B W Wolf

Reviewed by Arcadia Science

On the utility of Deep Learning for model classification and parameter estimation on complex diversification scenarios

1. P.G. Peña
2. G. Iglesias
3. E. Talavera
4. AS. Meseguer
5. I. Sanmartín

Reviewed by Arcadia Science

Whole genome sequencing and assembly of the house sparrow, Passer domesticus

1. Vikas Kumar
2. Gopesh Sharma
3. Sankalp Sharma
4. Samvrutha Prasad
5. Shailesh Desai
6. Toral Vaishnani
7. Dalia Vishnudasan
8. Gopinathan Maheswaran
9. Kaomud Tyagi
10. Inderjeet Tyagi
11. Polavarapu B Kavi Kishor
12. Gyaneshwer Chaubey
13. Prashanth Suravajhala

• Curated by GigaByte

  Editors Assessment:

  This paper presents present the genome sequencing of the house sparrow (Passer domesticus) carrying out genome assembly and annotation using in silico approaches with tools that could be a valuable resource for understanding passerine evolution, biology, ethnology, geography, and demography. The final genome assembly was generated using short read sequencing and a computational workflow that included Shovill, SPAdes, MaSuRCA, and BUSCO benchmarking. Producing a 922 MB reference genome with 24,152 genes. The first draft was significantly smaller than this but peer review provided suggestions on how to improve the assembly quality. And after a few attempts and assembly with a reasonable size and BUSCO score was achieved. This openly available data potentially serving as a valuable resource for checking adaptation, divergence, and speciation of birds.

  This evaluation refers to version 2 of the preprint

Reviewed by GigaByte

Graph Neural Networks for Likelihood-Free Inference in Diversification Models

1. Amélie Leroy
2. Ismaël Lajaaiti
3. Sophia Lambert
4. Jakub Voznica
5. Maximilian Pichler
6. Hélène Morlon
7. Florian Hartig
8. Laurent Jacob

Reviewed by Arcadia Science