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Sur Herrera Paredes

@surh.bsky.social

Computational biologist at LIIGH-UNAM. Check my lab at https://sur.science

46 Posts360 Follower107 Folgt
Sur Herrera Paredes@surh.bsky.social · 2d ago

Check out our new preprint on "Rich mobilomes and a conserved adaptive core in bacteria from an intensifying Mexican soda lake" www.biorxiv.org/content/10.6... We isolate and sequence bacteria from a crater lake and find many mobile genetic elements! @liigh-unam.bsky.social

Rich mobilomes and a conserved adaptive core in bacteria from an intensifying Mexican soda lake

The haloalkaline maar lake at Rincón de Parangueo, in central Mexico’s volcanic belt, is a doubly extreme habitat where high salinity and high alkalinity co-occur. Unlike the long-lived soda lakes tha...

biorxiv.org

Sur Herrera Paredes@surh.bsky.social · 9mo ago

Para terminar la sesión matutina Josué Nava Sedeño (FC-UNAM) habló de la formación de patrones espacio-temporales con modelos discretos. Marco Tulio Angulo (IMATE-UNAM) mostró que podemos calcular probabilidades de colas de distribuciones a partir de promedios. #RedMexBioMate

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Sur Herrera Paredes@surh.bsky.social · 9mo ago

Otras dós pláticas excelentes Andrés Argüelles Moyao (FC-UNAM) habló del estudio de redes reales de hongos como un modelo para estudiar la complejidad. Mariana Martínez Sánchez (INER) habló de análisis de redes para esclarecer desapariciones desde el 68 hasta la actualidad #RedMexBioMate

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eLife@elife.bsky.social · 10mo ago

Evidence from 14 research funding programmes confirms that early winners tend to keep winning (Matthew effect). But the idea that an early setback makes you stronger later doesn’t replicate widely. buff.ly/UEtcRd4

eLife Assessment This important study reports the results of efforts to replicate two phenomena of significant interest to early-career scientists and scientific policymakers: the Matthew effect and the early-career setback effect. Several previous studies of these effects have focused on early-career researchers with grant proposals that fell just below or just above a funding threshold. Those just above the threshold were more likely to be successful when they applied for funding later in the career (an example of the well-known Matthew effect), while those just below were more likely to go on to have stronger publication records (the early-career setback effect). In this study the Matthew effect was found to be robust across funders, and to generalize from those close to the funding threshold to the whole population. The early-career setback effect was not robust across funders and did not generalize to the whole population. The evidence reported is convincing.